95% off Artificial Intelligence & Machine Learning for Business (Coupon & Review)

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Artificial Intelligence & Machine Learning for Business - Udemy Coupon

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This is the best Udemy Artificial Intelligence & Machine Learning for Business coupon code discount for 2022.

So if you’re interested in Analytics Vidhya’s “Artificial Intelligence & Machine Learning for Business” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Artificial Intelligence & Machine Learning for Business review for 2022

In our review of this course, we try to help you answer all of your most important questions about Artificial Intelligence & Machine Learning for Business as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use AI&MLFB as an abbreviation of the course name?

During our Artificial Intelligence & Machine Learning for Business course review, you might sometimes see us refer to it as AI&MLFB for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and AI&MLFB is simpler and easier for reviewing purposes

The full course name is 55 characters long, including blanks, while AI&MLFB is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 48 characters every time we use AI&MLFB.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to AI&MLFB throughout the remainder of this review.

Is the Artificial Intelligence & Machine Learning for Business course for you?

To determine whether Analytics Vidhya’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Analytics Vidhya’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Analytics Vidhya chose for the course, “Artificial Intelligence & Machine Learning for Business”, as well as its subtitle: “The Ultimate Artificial Intelligence & Machine Learning course for CxOs, Managers, Team Leaders and Entrepreneurs”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Analytics Vidhya is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what AI&MLFB is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Analytics Vidhya hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Artificial Intelligence & Machine Learning for Business is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Analytics Vidhya’s official description of AI&MLFB

Are you prepared for the inevitable AI revolution? How can you leverage it in your current role as a business leader (whether that’s a manager, team leader or a CxO)? Analytics Vidhya’s ‘Artificial Intelligence (AI) & Machine Learning (ML) for Business’ course, curated and delivered by experienced instructors, will help you understand the answers to these pressing questions.

Artificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function – from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge.

AI for Business Leaders is a thoughtfully created course designed specifically for business people and does not require any programming.

(Read more about this course on the official course page.)

Does AI&MLFB pass the 30 Seconds Test?

You can read a lot more about Artificial Intelligence & Machine Learning for Business on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Analytics Vidhya has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Artificial Intelligence & Machine Learning for Business appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with AI&MLFB above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Analytics Vidhya do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Analytics Vidhya’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Analytics Vidhya sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the AI&MLFB course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Analytics Vidhya’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Analytics Vidhya, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Analytics Vidhya’s Udemy bio

Analytics Vidhya is one of the largest Analytics and Data Science community across the globe. We aim to create next generation data science ecosystem by democratising Artificial Intelligence, Machine Learning and Data Science.

What did you think about Analytics Vidhya after reading just the first few lines of the bio above?

After reading just the first few lines about Analytics Vidhya, did it make you more or less interested in taking the AI&MLFB course?

And did it make you feel like Analytics Vidhya was more or less credible and qualified to teach Artificial Intelligence & Machine Learning for Business?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the AI&MLFB lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Artificial Intelligence & Machine Learning for Business course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the AI&MLFB course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Analytics Vidhya’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Artificial Intelligence & Machine Learning for Business, as well as the course’s subtitle, The Ultimate Artificial Intelligence & Machine Learning course for CxOs, Managers, Team Leaders and Entrepreneurs.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that AI&MLFB is potentially a good, useful course for you, and you can have more confidence in Analytics Vidhya’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Analytics Vidhya that you enjoyed?

Have you already learned something from Analytics Vidhya that you valued or enjoyed?

For example, does the Artificial Intelligence & Machine Learning for Business training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any AI&MLFB lessons for free, have you perhaps watched a YouTube video by Analytics Vidhya, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Analytics Vidhya’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Analytics Vidhya’s teaching methods, and the more you enjoy them, the more likely it is that Artificial Intelligence & Machine Learning for Business will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Analytics Vidhya before purchasing this course, since it’s one of the best ways to determine whether AI&MLFB will be helpful for you.)

Are “Artificial Intelligence & Machine Learning for Business” reviews generally positive?

On the bottom of the AI&MLFB page, you can read student reviews of the class.

Prior to October 03, 2022, there were 3,605 students enrolled, 815 reviews / ratings, and it was overall rated 4.3 out of 5.

Obviously, the more highly other students rate AI&MLFB the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the AI&MLFB reviews to get an overall sense of them. You don’t have to read each one!

Is Analytics Vidhya responsive to student questions in the AI&MLFB training?

You can see what other students have to say about this in their AI&MLFB reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Analytics Vidhya a message through this system quite easily, even if you haven’t bought AI&MLFB yet.

For example, you could say, “Hi, and I came across AI&MLFB while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Artificial Intelligence & Machine Learning for Business on your own, online?

This is a big one, because Artificial Intelligence & Machine Learning for Business is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Artificial Intelligence & Machine Learning for Business.

Yes, you will be able to interact with the students and the teacher, Analytics Vidhya, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of AI&MLFB make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Artificial Intelligence & Machine Learning for Business training that looks something like this:

  • The purpose of AI&MLFB can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Analytics Vidhya is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other AI&MLFB students have great things to say about the program

Other benefits include:

  • You get to go through AI&MLFB at your own pace
  • You join a community of 3,605 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that AI&MLFB would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford AI&MLFB?

Can you comfortably afford the cost of Artificial Intelligence & Machine Learning for Business?

This is an important question to answer, because even if you think AI&MLFB sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on AI&MLFB with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Artificial Intelligence & Machine Learning for Business?

By far, the easiest way to get the best and biggest discount on this course is to use the Artificial Intelligence & Machine Learning for Business discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Analytics Vidhya’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best AI&MLFB course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting AI&MLFB for a better price, but also with any other Analytics Vidhya Udemy course that you’d like to get for cheaper.

How can Google help you get a AI&MLFB discount?

To use this method, do a Google search for the AI&MLFB training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Artificial Intelligence & Machine Learning for Business promo code” or “Artificial Intelligence & Machine Learning for Business udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Analytics Vidhya’s name and see what happens.

For example, you might do a Google search for “Analytics Vidhya Udemy coupons” or “Analytics Vidhya course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Artificial Intelligence & Machine Learning for Business coupons” rather than “Analytics Vidhya coupons”.

How can a Udemy sale get you AI&MLFB for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get AI&MLFB for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Analytics Vidhya decides not to participate in the site wide sale, then you won’t get a discount on AI&MLFB, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the AI&MLFB course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a AI&MLFB discount from Analytics Vidhya?

If you’re really serious about getting “Artificial Intelligence & Machine Learning for Business” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Analytics Vidhya, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Analytics Vidhya’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Artificial Intelligence & Machine Learning for Business. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Analytics Vidhya’s mailing list, if you can find it, and then you hope that at some time AI&MLFB will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get AI&MLFB for free?

Of course, the best possible price for the AI&MLFB training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Analytics Vidhya has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Artificial Intelligence & Machine Learning for Business free coupon” or “Artificial Intelligence & Machine Learning for Business 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Analytics Vidhya has offered free coupons for AI&MLFB in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a AI&MLFB free download?

It’s important to understand that there’s a difference between getting full access to the AI&MLFB training for free legally with a free coupon code vs. finding a way to download AI&MLFB illegally.

If you really want to go the download route, you can do a google search for something like “Artificial Intelligence & Machine Learning for Business download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Artificial Intelligence & Machine Learning for Business free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Analytics Vidhya created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 3,605 students enrolled in the program.

Can you get a refund on Artificial Intelligence & Machine Learning for Business if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the AI&MLFB training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Analytics Vidhya’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on AI&MLFB no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the AI&MLFB training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Analytics Vidhya could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing AI&MLFB and not liking it, since you can always get your money back.

What is OCP’s overall rating of Artificial Intelligence & Machine Learning for Business?

During this AI&MLFB review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the AI&MLFB training, the instructor, Analytics Vidhya, and reading what other students have said about this program, we give it an overall rating of 4.6 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Artificial Intelligence & Machine Learning for Business?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about AI&MLFB

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what AI&MLFB’s online training is all about:

AI&MLFB coupon & course info

Course Name: Artificial Intelligence & Machine Learning for Business

Subtitle: The Ultimate Artificial Intelligence & Machine Learning course for CxOs, Managers, Team Leaders and Entrepreneurs

Instructor: Taught by Analytics Vidhya

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

AI&MLFB review info & popularity

Prior to October 03, 2022…

Students: 3,605 students enrolled

Ratings: 815 reviews

Rank: ranked #637 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Artificial Intelligence & Machine Learning for Business is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

AI&MLFB final details

Languages: English

Skill level: All Levels

Lectures: 48 lectures lectures lessons

Duration: 5.5 total hours hours of video

What you get: Applications of Artificial Intelligence and Machine Learning for Business Leaders (CxOs, Managers, Team Leaders, MBA Students, Entrepreneurs)

Target audience: CXOs, Business Managers, MBA students

Requirements: This course does not assume any prior knowledge of Artificial Intelligence or it’s associated terms. Bring your business and managerial experience – the course will help you do the rest !

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Deployment of Machine Learning Models (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Deployment of Machine Learning Models - Udemy Coupon

Get Discount


This is the best Udemy Deployment of Machine Learning Models coupon code discount for 2022.

So if you’re interested in Soledad Galli, Christopher Samiullah’s “Deployment of Machine Learning Models” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Deployment of Machine Learning Models review for 2022

In our review of this course, we try to help you answer all of your most important questions about Deployment of Machine Learning Models as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use DOMLM as an abbreviation of the course name?

During our Deployment of Machine Learning Models course review, you might sometimes see us refer to it as DOMLM for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and DOMLM is simpler and easier for reviewing purposes

The full course name is 37 characters long, including blanks, while DOMLM is 5 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 32 characters every time we use DOMLM.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to DOMLM throughout the remainder of this review.

Is the Deployment of Machine Learning Models course for you?

To determine whether Soledad Galli, Christopher Samiullah’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Soledad Galli, Christopher Samiullah’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Soledad Galli, Christopher Samiullah chose for the course, “Deployment of Machine Learning Models”, as well as its subtitle: “Build Machine Learning Model APIs”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Soledad Galli, Christopher Samiullah is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what DOMLM is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Soledad Galli, Christopher Samiullah hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Deployment of Machine Learning Models is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Soledad Galli, Christopher Samiullah’s official description of DOMLM

Learn how to put your machine learning models into production.

What is model deployment?

(Read more about this course on the official course page.)

Does DOMLM pass the 30 Seconds Test?

You can read a lot more about Deployment of Machine Learning Models on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Soledad Galli, Christopher Samiullah has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Deployment of Machine Learning Models appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with DOMLM above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Soledad Galli, Christopher Samiullah do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Soledad Galli, Christopher Samiullah’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Soledad Galli, Christopher Samiullah sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the DOMLM course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Soledad Galli, Christopher Samiullah’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Soledad Galli, Christopher Samiullah, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Soledad Galli, Christopher Samiullah’s Udemy bio

Bio first in English and then in Spanish:

What did you think about Soledad Galli, Christopher Samiullah after reading just the first few lines of the bio above?

After reading just the first few lines about Soledad Galli, Christopher Samiullah, did it make you more or less interested in taking the DOMLM course?

And did it make you feel like Soledad Galli, Christopher Samiullah was more or less credible and qualified to teach Deployment of Machine Learning Models?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the DOMLM lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Deployment of Machine Learning Models course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the DOMLM course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Soledad Galli, Christopher Samiullah’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Deployment of Machine Learning Models, as well as the course’s subtitle, Build Machine Learning Model APIs.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that DOMLM is potentially a good, useful course for you, and you can have more confidence in Soledad Galli, Christopher Samiullah’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Soledad Galli, Christopher Samiullah that you enjoyed?

Have you already learned something from Soledad Galli, Christopher Samiullah that you valued or enjoyed?

For example, does the Deployment of Machine Learning Models training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any DOMLM lessons for free, have you perhaps watched a YouTube video by Soledad Galli, Christopher Samiullah, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Soledad Galli, Christopher Samiullah’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Soledad Galli, Christopher Samiullah’s teaching methods, and the more you enjoy them, the more likely it is that Deployment of Machine Learning Models will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Soledad Galli, Christopher Samiullah before purchasing this course, since it’s one of the best ways to determine whether DOMLM will be helpful for you.)

Are “Deployment of Machine Learning Models” reviews generally positive?

On the bottom of the DOMLM page, you can read student reviews of the class.

Prior to October 03, 2022, there were 12,437 students enrolled, 2,033 reviews / ratings, and it was overall rated 4.5 out of 5.

Obviously, the more highly other students rate DOMLM the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the DOMLM reviews to get an overall sense of them. You don’t have to read each one!

Is Soledad Galli, Christopher Samiullah responsive to student questions in the DOMLM training?

You can see what other students have to say about this in their DOMLM reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Soledad Galli, Christopher Samiullah a message through this system quite easily, even if you haven’t bought DOMLM yet.

For example, you could say, “Hi, and I came across DOMLM while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Deployment of Machine Learning Models on your own, online?

This is a big one, because Deployment of Machine Learning Models is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Deployment of Machine Learning Models.

Yes, you will be able to interact with the students and the teacher, Soledad Galli, Christopher Samiullah, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of DOMLM make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Deployment of Machine Learning Models training that looks something like this:

  • The purpose of DOMLM can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Soledad Galli, Christopher Samiullah is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other DOMLM students have great things to say about the program

Other benefits include:

  • You get to go through DOMLM at your own pace
  • You join a community of 12,437 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that DOMLM would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford DOMLM?

Can you comfortably afford the cost of Deployment of Machine Learning Models?

This is an important question to answer, because even if you think DOMLM sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $13.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on DOMLM with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Deployment of Machine Learning Models?

By far, the easiest way to get the best and biggest discount on this course is to use the Deployment of Machine Learning Models discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Soledad Galli, Christopher Samiullah’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best DOMLM course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting DOMLM for a better price, but also with any other Soledad Galli, Christopher Samiullah Udemy course that you’d like to get for cheaper.

How can Google help you get a DOMLM discount?

To use this method, do a Google search for the DOMLM training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Deployment of Machine Learning Models promo code” or “Deployment of Machine Learning Models udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Soledad Galli, Christopher Samiullah’s name and see what happens.

For example, you might do a Google search for “Soledad Galli, Christopher Samiullah Udemy coupons” or “Soledad Galli, Christopher Samiullah course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Deployment of Machine Learning Models coupons” rather than “Soledad Galli, Christopher Samiullah coupons”.

How can a Udemy sale get you DOMLM for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get DOMLM for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Soledad Galli, Christopher Samiullah decides not to participate in the site wide sale, then you won’t get a discount on DOMLM, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the DOMLM course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a DOMLM discount from Soledad Galli, Christopher Samiullah?

If you’re really serious about getting “Deployment of Machine Learning Models” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Soledad Galli, Christopher Samiullah, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Soledad Galli, Christopher Samiullah’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Deployment of Machine Learning Models. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Soledad Galli, Christopher Samiullah’s mailing list, if you can find it, and then you hope that at some time DOMLM will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get DOMLM for free?

Of course, the best possible price for the DOMLM training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Soledad Galli, Christopher Samiullah has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Deployment of Machine Learning Models free coupon” or “Deployment of Machine Learning Models 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Soledad Galli, Christopher Samiullah has offered free coupons for DOMLM in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a DOMLM free download?

It’s important to understand that there’s a difference between getting full access to the DOMLM training for free legally with a free coupon code vs. finding a way to download DOMLM illegally.

If you really want to go the download route, you can do a google search for something like “Deployment of Machine Learning Models download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Deployment of Machine Learning Models free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Soledad Galli, Christopher Samiullah created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 12,437 students enrolled in the program.

Can you get a refund on Deployment of Machine Learning Models if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the DOMLM training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Soledad Galli, Christopher Samiullah’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on DOMLM no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the DOMLM training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Soledad Galli, Christopher Samiullah could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing DOMLM and not liking it, since you can always get your money back.

What is OCP’s overall rating of Deployment of Machine Learning Models?

During this DOMLM review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the DOMLM training, the instructor, Soledad Galli, Christopher Samiullah, and reading what other students have said about this program, we give it an overall rating of 4.8 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Deployment of Machine Learning Models?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about DOMLM

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what DOMLM’s online training is all about:

DOMLM coupon & course info

Course Name: Deployment of Machine Learning Models

Subtitle: Build Machine Learning Model APIs

Instructor: Taught by Soledad Galli, Christopher Samiullah

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $13.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

DOMLM review info & popularity

Prior to October 03, 2022…

Students: 12,437 students enrolled

Ratings: 2,033 reviews

Rank: ranked #1681 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Deployment of Machine Learning Models is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

DOMLM final details

Languages: English

Skill level: Intermediate

Lectures: 145 lectures lectures lessons

Duration: 9 total hours hours of video

What you get: Deploy machine learning models into the cloud

Target audience: Data scientists who want to deploy their first machine learning models

Requirements: A Python installation

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Complete 2020 Data Science & Machine Learning Bootcamp (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Complete 2020 Data Science & Machine Learning Bootcamp - Udemy Coupon

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This is the best Udemy Complete 2020 Data Science & Machine Learning Bootcamp coupon code discount for 2022.

So if you’re interested in Philipp Muellauer, Dr. Angela Yu’s “Complete 2020 Data Science & Machine Learning Bootcamp” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Complete 2020 Data Science & Machine Learning Bootcamp review for 2022

In our review of this course, we try to help you answer all of your most important questions about Complete 2020 Data Science & Machine Learning Bootcamp as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use C2DS&MLB as an abbreviation of the course name?

During our Complete 2020 Data Science & Machine Learning Bootcamp course review, you might sometimes see us refer to it as C2DS&MLB for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and C2DS&MLB is simpler and easier for reviewing purposes

The full course name is 54 characters long, including blanks, while C2DS&MLB is 8 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 46 characters every time we use C2DS&MLB.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to C2DS&MLB throughout the remainder of this review.

Is the Complete 2020 Data Science & Machine Learning Bootcamp course for you?

To determine whether Philipp Muellauer, Dr. Angela Yu’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Philipp Muellauer, Dr. Angela Yu’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Philipp Muellauer, Dr. Angela Yu chose for the course, “Complete 2020 Data Science & Machine Learning Bootcamp”, as well as its subtitle: “Learn Python, Tensorflow, Deep Learning, Regression, Classification, Neural Networks, Artificial Intelligence & more!”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Philipp Muellauer, Dr. Angela Yu is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what C2DS&MLB is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Philipp Muellauer, Dr. Angela Yu hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Complete 2020 Data Science & Machine Learning Bootcamp is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Philipp Muellauer, Dr. Angela Yu’s official description of C2DS&MLB

Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science.

At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery. Here’s why:

(Read more about this course on the official course page.)

Does C2DS&MLB pass the 30 Seconds Test?

You can read a lot more about Complete 2020 Data Science & Machine Learning Bootcamp on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Philipp Muellauer, Dr. Angela Yu has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Complete 2020 Data Science & Machine Learning Bootcamp appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with C2DS&MLB above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Philipp Muellauer, Dr. Angela Yu do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Philipp Muellauer, Dr. Angela Yu’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Philipp Muellauer, Dr. Angela Yu sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the C2DS&MLB course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Philipp Muellauer, Dr. Angela Yu’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Philipp Muellauer, Dr. Angela Yu, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Philipp Muellauer, Dr. Angela Yu’s Udemy bio

I’m Philipp, I’m a data scientist and mobile developer with a passion for teaching. I’m the lead instructor at the London App Brewery for machine learning and Android development, fluent in Python, Java, Swift, Dart, and VBA. I’ve taught thousands of students in-person in our London classroom and lead our corporate training, used by companies such as Google, Amazon and Twitter. I’m always thinking about how to make difficult concepts easy to understand, what kind of projects would make a fun tutorial, and how I can help you succeed through my courses.

What did you think about Philipp Muellauer, Dr. Angela Yu after reading just the first few lines of the bio above?

After reading just the first few lines about Philipp Muellauer, Dr. Angela Yu, did it make you more or less interested in taking the C2DS&MLB course?

And did it make you feel like Philipp Muellauer, Dr. Angela Yu was more or less credible and qualified to teach Complete 2020 Data Science & Machine Learning Bootcamp?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the C2DS&MLB lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Complete 2020 Data Science & Machine Learning Bootcamp course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the C2DS&MLB course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Philipp Muellauer, Dr. Angela Yu’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Complete 2020 Data Science & Machine Learning Bootcamp, as well as the course’s subtitle, Learn Python, Tensorflow, Deep Learning, Regression, Classification, Neural Networks, Artificial Intelligence & more!.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that C2DS&MLB is potentially a good, useful course for you, and you can have more confidence in Philipp Muellauer, Dr. Angela Yu’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Philipp Muellauer, Dr. Angela Yu that you enjoyed?

Have you already learned something from Philipp Muellauer, Dr. Angela Yu that you valued or enjoyed?

For example, does the Complete 2020 Data Science & Machine Learning Bootcamp training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any C2DS&MLB lessons for free, have you perhaps watched a YouTube video by Philipp Muellauer, Dr. Angela Yu, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Philipp Muellauer, Dr. Angela Yu’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Philipp Muellauer, Dr. Angela Yu’s teaching methods, and the more you enjoy them, the more likely it is that Complete 2020 Data Science & Machine Learning Bootcamp will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Philipp Muellauer, Dr. Angela Yu before purchasing this course, since it’s one of the best ways to determine whether C2DS&MLB will be helpful for you.)

Are “Complete 2020 Data Science & Machine Learning Bootcamp” reviews generally positive?

On the bottom of the C2DS&MLB page, you can read student reviews of the class.

Prior to October 03, 2022, there were 16,578 students enrolled, 2,283 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate C2DS&MLB the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the C2DS&MLB reviews to get an overall sense of them. You don’t have to read each one!

Is Philipp Muellauer, Dr. Angela Yu responsive to student questions in the C2DS&MLB training?

You can see what other students have to say about this in their C2DS&MLB reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Philipp Muellauer, Dr. Angela Yu a message through this system quite easily, even if you haven’t bought C2DS&MLB yet.

For example, you could say, “Hi, and I came across C2DS&MLB while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Complete 2020 Data Science & Machine Learning Bootcamp on your own, online?

This is a big one, because Complete 2020 Data Science & Machine Learning Bootcamp is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Complete 2020 Data Science & Machine Learning Bootcamp.

Yes, you will be able to interact with the students and the teacher, Philipp Muellauer, Dr. Angela Yu, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of C2DS&MLB make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Complete 2020 Data Science & Machine Learning Bootcamp training that looks something like this:

  • The purpose of C2DS&MLB can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Philipp Muellauer, Dr. Angela Yu is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other C2DS&MLB students have great things to say about the program

Other benefits include:

  • You get to go through C2DS&MLB at your own pace
  • You join a community of 16,578 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that C2DS&MLB would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford C2DS&MLB?

Can you comfortably afford the cost of Complete 2020 Data Science & Machine Learning Bootcamp?

This is an important question to answer, because even if you think C2DS&MLB sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on C2DS&MLB with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Complete 2020 Data Science & Machine Learning Bootcamp?

By far, the easiest way to get the best and biggest discount on this course is to use the Complete 2020 Data Science & Machine Learning Bootcamp discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Philipp Muellauer, Dr. Angela Yu’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best C2DS&MLB course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting C2DS&MLB for a better price, but also with any other Philipp Muellauer, Dr. Angela Yu Udemy course that you’d like to get for cheaper.

How can Google help you get a C2DS&MLB discount?

To use this method, do a Google search for the C2DS&MLB training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Complete 2020 Data Science & Machine Learning Bootcamp promo code” or “Complete 2020 Data Science & Machine Learning Bootcamp udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Philipp Muellauer, Dr. Angela Yu’s name and see what happens.

For example, you might do a Google search for “Philipp Muellauer, Dr. Angela Yu Udemy coupons” or “Philipp Muellauer, Dr. Angela Yu course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Complete 2020 Data Science & Machine Learning Bootcamp coupons” rather than “Philipp Muellauer, Dr. Angela Yu coupons”.

How can a Udemy sale get you C2DS&MLB for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get C2DS&MLB for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Philipp Muellauer, Dr. Angela Yu decides not to participate in the site wide sale, then you won’t get a discount on C2DS&MLB, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the C2DS&MLB course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a C2DS&MLB discount from Philipp Muellauer, Dr. Angela Yu?

If you’re really serious about getting “Complete 2020 Data Science & Machine Learning Bootcamp” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Philipp Muellauer, Dr. Angela Yu, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Philipp Muellauer, Dr. Angela Yu’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Complete 2020 Data Science & Machine Learning Bootcamp. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Philipp Muellauer, Dr. Angela Yu’s mailing list, if you can find it, and then you hope that at some time C2DS&MLB will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get C2DS&MLB for free?

Of course, the best possible price for the C2DS&MLB training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Philipp Muellauer, Dr. Angela Yu has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Complete 2020 Data Science & Machine Learning Bootcamp free coupon” or “Complete 2020 Data Science & Machine Learning Bootcamp 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Philipp Muellauer, Dr. Angela Yu has offered free coupons for C2DS&MLB in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a C2DS&MLB free download?

It’s important to understand that there’s a difference between getting full access to the C2DS&MLB training for free legally with a free coupon code vs. finding a way to download C2DS&MLB illegally.

If you really want to go the download route, you can do a google search for something like “Complete 2020 Data Science & Machine Learning Bootcamp download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Complete 2020 Data Science & Machine Learning Bootcamp free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Philipp Muellauer, Dr. Angela Yu created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 16,578 students enrolled in the program.

Can you get a refund on Complete 2020 Data Science & Machine Learning Bootcamp if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the C2DS&MLB training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Philipp Muellauer, Dr. Angela Yu’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on C2DS&MLB no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the C2DS&MLB training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Philipp Muellauer, Dr. Angela Yu could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing C2DS&MLB and not liking it, since you can always get your money back.

What is OCP’s overall rating of Complete 2020 Data Science & Machine Learning Bootcamp?

During this C2DS&MLB review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the C2DS&MLB training, the instructor, Philipp Muellauer, Dr. Angela Yu, and reading what other students have said about this program, we give it an overall rating of 4.7 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Complete 2020 Data Science & Machine Learning Bootcamp?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

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Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

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Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

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4. An Introduction to Reliability Engineering

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Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about C2DS&MLB

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what C2DS&MLB’s online training is all about:

C2DS&MLB coupon & course info

Course Name: Complete 2020 Data Science & Machine Learning Bootcamp

Subtitle: Learn Python, Tensorflow, Deep Learning, Regression, Classification, Neural Networks, Artificial Intelligence & more!

Instructor: Taught by Philipp Muellauer, Dr. Angela Yu

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

C2DS&MLB review info & popularity

Prior to October 03, 2022…

Students: 16,578 students enrolled

Ratings: 2,283 reviews

Rank: ranked #143 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Complete 2020 Data Science & Machine Learning Bootcamp is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

C2DS&MLB final details

Languages: English

Skill level: All Levels

Lectures: 207 lectures lectures lessons

Duration: 41.5 total hours hours of video

What you get: You will learn how to program using Python through practical projects

Target audience: If you want to learn to code through building fun and useful projects, then take this course.

Requirements: No programming experience needed! I’ll teach you everything you need to know.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Mastering Data Science and Machine Learning Fundamentals (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Mastering Data Science and Machine Learning Fundamentals - Udemy Coupon

Get Discount


This is the best Udemy Mastering Data Science and Machine Learning Fundamentals coupon code discount for 2022.

So if you’re interested in AI Sciences’s “Mastering Data Science and Machine Learning Fundamentals” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Mastering Data Science and Machine Learning Fundamentals review for 2022

In our review of this course, we try to help you answer all of your most important questions about Mastering Data Science and Machine Learning Fundamentals as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use MDSAMLF as an abbreviation of the course name?

During our Mastering Data Science and Machine Learning Fundamentals course review, you might sometimes see us refer to it as MDSAMLF for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and MDSAMLF is simpler and easier for reviewing purposes

The full course name is 56 characters long, including blanks, while MDSAMLF is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 49 characters every time we use MDSAMLF.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to MDSAMLF throughout the remainder of this review.

Is the Mastering Data Science and Machine Learning Fundamentals course for you?

To determine whether AI Sciences’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what AI Sciences’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that AI Sciences chose for the course, “Mastering Data Science and Machine Learning Fundamentals”, as well as its subtitle: “A Beginner Course in Data Science, Machine Learning, Regression, Classification and Clustering in 2020 [THEORY ONLY]”.

This combo of title and subtitle should be enough to communicate the purpose of the training if AI Sciences is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what MDSAMLF is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means AI Sciences hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Mastering Data Science and Machine Learning Fundamentals is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of AI Sciences’s official description of MDSAMLF

A comprehensive course that will teach you how Data Science and Machine Learning Work.

Welcome to Mastering Data Science & Machine Learning Fundamentals for Beginners!

Data Science and Machine learning is not just another buzzword. So many professionals who work in different areas such as IT, security, marketing, automation, and even medicine, know that machine learning is the key to development. Without it, so many amazing things that make our lives easier – such as spam-filtering, Google search, relevant ads, accurate weather forecasting, or sports prediction – would be impossible. This course is the starting point you’ve been looking for.

(Read more about this course on the official course page.)

Does MDSAMLF pass the 30 Seconds Test?

You can read a lot more about Mastering Data Science and Machine Learning Fundamentals on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, AI Sciences has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Mastering Data Science and Machine Learning Fundamentals appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with MDSAMLF above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did AI Sciences do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, AI Sciences’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does AI Sciences sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the MDSAMLF course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, AI Sciences’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including AI Sciences, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from AI Sciences’s Udemy bio

We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

What did you think about AI Sciences after reading just the first few lines of the bio above?

After reading just the first few lines about AI Sciences, did it make you more or less interested in taking the MDSAMLF course?

And did it make you feel like AI Sciences was more or less credible and qualified to teach Mastering Data Science and Machine Learning Fundamentals?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the MDSAMLF lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Mastering Data Science and Machine Learning Fundamentals course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the MDSAMLF course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing AI Sciences’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Mastering Data Science and Machine Learning Fundamentals, as well as the course’s subtitle, A Beginner Course in Data Science, Machine Learning, Regression, Classification and Clustering in 2020 [THEORY ONLY].

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that MDSAMLF is potentially a good, useful course for you, and you can have more confidence in AI Sciences’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from AI Sciences that you enjoyed?

Have you already learned something from AI Sciences that you valued or enjoyed?

For example, does the Mastering Data Science and Machine Learning Fundamentals training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any MDSAMLF lessons for free, have you perhaps watched a YouTube video by AI Sciences, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of AI Sciences’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with AI Sciences’s teaching methods, and the more you enjoy them, the more likely it is that Mastering Data Science and Machine Learning Fundamentals will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from AI Sciences before purchasing this course, since it’s one of the best ways to determine whether MDSAMLF will be helpful for you.)

Are “Mastering Data Science and Machine Learning Fundamentals” reviews generally positive?

On the bottom of the MDSAMLF page, you can read student reviews of the class.

Prior to October 03, 2022, there were 20,527 students enrolled, 1,301 reviews / ratings, and it was overall rated 4.3 out of 5.

Obviously, the more highly other students rate MDSAMLF the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the MDSAMLF reviews to get an overall sense of them. You don’t have to read each one!

Is AI Sciences responsive to student questions in the MDSAMLF training?

You can see what other students have to say about this in their MDSAMLF reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send AI Sciences a message through this system quite easily, even if you haven’t bought MDSAMLF yet.

For example, you could say, “Hi, and I came across MDSAMLF while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Mastering Data Science and Machine Learning Fundamentals on your own, online?

This is a big one, because Mastering Data Science and Machine Learning Fundamentals is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Mastering Data Science and Machine Learning Fundamentals.

Yes, you will be able to interact with the students and the teacher, AI Sciences, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of MDSAMLF make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Mastering Data Science and Machine Learning Fundamentals training that looks something like this:

  • The purpose of MDSAMLF can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • AI Sciences is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other MDSAMLF students have great things to say about the program

Other benefits include:

  • You get to go through MDSAMLF at your own pace
  • You join a community of 20,527 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that MDSAMLF would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford MDSAMLF?

Can you comfortably afford the cost of Mastering Data Science and Machine Learning Fundamentals?

This is an important question to answer, because even if you think MDSAMLF sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on MDSAMLF with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Mastering Data Science and Machine Learning Fundamentals?

By far, the easiest way to get the best and biggest discount on this course is to use the Mastering Data Science and Machine Learning Fundamentals discount code link at the top of this page.

It will instantly give you the best coupon code we could find for AI Sciences’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best MDSAMLF course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting MDSAMLF for a better price, but also with any other AI Sciences Udemy course that you’d like to get for cheaper.

How can Google help you get a MDSAMLF discount?

To use this method, do a Google search for the MDSAMLF training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Mastering Data Science and Machine Learning Fundamentals promo code” or “Mastering Data Science and Machine Learning Fundamentals udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with AI Sciences’s name and see what happens.

For example, you might do a Google search for “AI Sciences Udemy coupons” or “AI Sciences course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Mastering Data Science and Machine Learning Fundamentals coupons” rather than “AI Sciences coupons”.

How can a Udemy sale get you MDSAMLF for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get MDSAMLF for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if AI Sciences decides not to participate in the site wide sale, then you won’t get a discount on MDSAMLF, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the MDSAMLF course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a MDSAMLF discount from AI Sciences?

If you’re really serious about getting “Mastering Data Science and Machine Learning Fundamentals” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from AI Sciences, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get AI Sciences’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Mastering Data Science and Machine Learning Fundamentals. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join AI Sciences’s mailing list, if you can find it, and then you hope that at some time MDSAMLF will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get MDSAMLF for free?

Of course, the best possible price for the MDSAMLF training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that AI Sciences has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Mastering Data Science and Machine Learning Fundamentals free coupon” or “Mastering Data Science and Machine Learning Fundamentals 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even AI Sciences has offered free coupons for MDSAMLF in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a MDSAMLF free download?

It’s important to understand that there’s a difference between getting full access to the MDSAMLF training for free legally with a free coupon code vs. finding a way to download MDSAMLF illegally.

If you really want to go the download route, you can do a google search for something like “Mastering Data Science and Machine Learning Fundamentals download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Mastering Data Science and Machine Learning Fundamentals free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, AI Sciences created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 20,527 students enrolled in the program.

Can you get a refund on Mastering Data Science and Machine Learning Fundamentals if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the MDSAMLF training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into AI Sciences’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on MDSAMLF no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the MDSAMLF training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing AI Sciences could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing MDSAMLF and not liking it, since you can always get your money back.

What is OCP’s overall rating of Mastering Data Science and Machine Learning Fundamentals?

During this MDSAMLF review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the MDSAMLF training, the instructor, AI Sciences, and reading what other students have said about this program, we give it an overall rating of 4.5 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Mastering Data Science and Machine Learning Fundamentals?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about MDSAMLF

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what MDSAMLF’s online training is all about:

MDSAMLF coupon & course info

Course Name: Mastering Data Science and Machine Learning Fundamentals

Subtitle: A Beginner Course in Data Science, Machine Learning, Regression, Classification and Clustering in 2020 [THEORY ONLY]

Instructor: Taught by AI Sciences

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

MDSAMLF review info & popularity

Prior to October 03, 2022…

Students: 20,527 students enrolled

Ratings: 1,301 reviews

Rank: ranked #845 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Mastering Data Science and Machine Learning Fundamentals is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

MDSAMLF final details

Languages: English

Skill level: All Levels

Lectures: 19 lectures lectures lessons

Duration: 2 total hours hours of video

What you get: Mastering Data Science fundamentals

Target audience: Beginners who want to approach Machine Learning, but are too afraid of complex math to start

Requirements: Absolutely no prior knowledge or experience needed. Only a passion to be successful!

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off PyTorch for Deep Learning and Computer Vision (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

PyTorch for Deep Learning and Computer Vision - Udemy Coupon

Get Discount


This is the best Udemy PyTorch for Deep Learning and Computer Vision coupon code discount for 2022.

So if you’re interested in Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s “PyTorch for Deep Learning and Computer Vision” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

PyTorch for Deep Learning and Computer Vision review for 2022

In our review of this course, we try to help you answer all of your most important questions about PyTorch for Deep Learning and Computer Vision as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use PFDLACV as an abbreviation of the course name?

During our PyTorch for Deep Learning and Computer Vision course review, you might sometimes see us refer to it as PFDLACV for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and PFDLACV is simpler and easier for reviewing purposes

The full course name is 45 characters long, including blanks, while PFDLACV is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 38 characters every time we use PFDLACV.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to PFDLACV throughout the remainder of this review.

Is the PyTorch for Deep Learning and Computer Vision course for you?

To determine whether Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer chose for the course, “PyTorch for Deep Learning and Computer Vision”, as well as its subtitle: “Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what PFDLACV is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what PyTorch for Deep Learning and Computer Vision is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s official description of PFDLACV

PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landscape in the field of deep learning due to its flexibility, and how easy it is to use when building Deep Learning models.

Deep Learning jobs command some of the highest salaries in the development world. This course is meant to take you from the complete basics, to building state-of-the art Deep Learning and Computer Vision applications with PyTorch.

Learn & Master Deep Learning with PyTorch in this fun and exciting course with top instructor Rayan Slim. With over 44000 students, Rayan is a highly rated and experienced instructor who has followed a “learn by doing” style to create this amazing course.

(Read more about this course on the official course page.)

Does PFDLACV pass the 30 Seconds Test?

You can read a lot more about PyTorch for Deep Learning and Computer Vision on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did PyTorch for Deep Learning and Computer Vision appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with PFDLACV above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the PFDLACV course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s Udemy bio

Hi! I’m Rayan, a full time software developer based in Ottawa, Canada.

What did you think about Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer after reading just the first few lines of the bio above?

After reading just the first few lines about Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer, did it make you more or less interested in taking the PFDLACV course?

And did it make you feel like Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer was more or less credible and qualified to teach PyTorch for Deep Learning and Computer Vision?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the PFDLACV lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the PyTorch for Deep Learning and Computer Vision course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the PFDLACV course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, PyTorch for Deep Learning and Computer Vision, as well as the course’s subtitle, Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that PFDLACV is potentially a good, useful course for you, and you can have more confidence in Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer that you enjoyed?

Have you already learned something from Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer that you valued or enjoyed?

For example, does the PyTorch for Deep Learning and Computer Vision training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any PFDLACV lessons for free, have you perhaps watched a YouTube video by Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s teaching methods, and the more you enjoy them, the more likely it is that PyTorch for Deep Learning and Computer Vision will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer before purchasing this course, since it’s one of the best ways to determine whether PFDLACV will be helpful for you.)

Are “PyTorch for Deep Learning and Computer Vision” reviews generally positive?

On the bottom of the PFDLACV page, you can read student reviews of the class.

Prior to October 03, 2022, there were 7,071 students enrolled, 1,196 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate PFDLACV the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the PFDLACV reviews to get an overall sense of them. You don’t have to read each one!

Is Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer responsive to student questions in the PFDLACV training?

You can see what other students have to say about this in their PFDLACV reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer a message through this system quite easily, even if you haven’t bought PFDLACV yet.

For example, you could say, “Hi, and I came across PFDLACV while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in PyTorch for Deep Learning and Computer Vision on your own, online?

This is a big one, because PyTorch for Deep Learning and Computer Vision is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking PyTorch for Deep Learning and Computer Vision.

Yes, you will be able to interact with the students and the teacher, Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of PFDLACV make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the PyTorch for Deep Learning and Computer Vision training that looks something like this:

  • The purpose of PFDLACV can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other PFDLACV students have great things to say about the program

Other benefits include:

  • You get to go through PFDLACV at your own pace
  • You join a community of 7,071 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that PFDLACV would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford PFDLACV?

Can you comfortably afford the cost of PyTorch for Deep Learning and Computer Vision?

This is an important question to answer, because even if you think PFDLACV sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on PFDLACV with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on PyTorch for Deep Learning and Computer Vision?

By far, the easiest way to get the best and biggest discount on this course is to use the PyTorch for Deep Learning and Computer Vision discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best PFDLACV course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting PFDLACV for a better price, but also with any other Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer Udemy course that you’d like to get for cheaper.

How can Google help you get a PFDLACV discount?

To use this method, do a Google search for the PFDLACV training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy PyTorch for Deep Learning and Computer Vision promo code” or “PyTorch for Deep Learning and Computer Vision udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s name and see what happens.

For example, you might do a Google search for “Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer Udemy coupons” or “Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “PyTorch for Deep Learning and Computer Vision coupons” rather than “Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer coupons”.

How can a Udemy sale get you PFDLACV for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get PFDLACV for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer decides not to participate in the site wide sale, then you won’t get a discount on PFDLACV, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the PFDLACV course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a PFDLACV discount from Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer?

If you’re really serious about getting “PyTorch for Deep Learning and Computer Vision” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in PyTorch for Deep Learning and Computer Vision. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s mailing list, if you can find it, and then you hope that at some time PFDLACV will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get PFDLACV for free?

Of course, the best possible price for the PFDLACV training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “PyTorch for Deep Learning and Computer Vision free coupon” or “PyTorch for Deep Learning and Computer Vision 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer has offered free coupons for PFDLACV in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a PFDLACV free download?

It’s important to understand that there’s a difference between getting full access to the PFDLACV training for free legally with a free coupon code vs. finding a way to download PFDLACV illegally.

If you really want to go the download route, you can do a google search for something like “PyTorch for Deep Learning and Computer Vision download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “PyTorch for Deep Learning and Computer Vision free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 7,071 students enrolled in the program.

Can you get a refund on PyTorch for Deep Learning and Computer Vision if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the PFDLACV training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on PFDLACV no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the PFDLACV training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing PFDLACV and not liking it, since you can always get your money back.

What is OCP’s overall rating of PyTorch for Deep Learning and Computer Vision?

During this PFDLACV review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the PFDLACV training, the instructor, Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer, and reading what other students have said about this program, we give it an overall rating of 4.7 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to PyTorch for Deep Learning and Computer Vision?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about PFDLACV

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what PFDLACV’s online training is all about:

PFDLACV coupon & course info

Course Name: PyTorch for Deep Learning and Computer Vision

Subtitle: Build Highly Sophisticated Deep Learning and Computer Vision Applications with PyTorch

Instructor: Taught by Rayan Slim, Jad Slim, Amer Sharaf, Sarmad Tanveer

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

PFDLACV review info & popularity

Prior to October 03, 2022…

Students: 7,071 students enrolled

Ratings: 1,196 reviews

Rank: ranked #1228 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if PyTorch for Deep Learning and Computer Vision is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

PFDLACV final details

Languages: English

Skill level: All Levels

Lectures: 101 lectures lectures lessons

Duration: 14 total hours hours of video

What you get: Implement Machine and Deep Learning applications with PyTorch

Target audience: Anyone with an interest in Deep Learning and Computer Vision

Requirements: No experience is required

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Complete Machine Learning & Data Science Bootcamp 2021 (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Complete Machine Learning & Data Science Bootcamp 2021 - Udemy Coupon

Get Discount


This is the best Udemy Complete Machine Learning & Data Science Bootcamp 2021 coupon code discount for 2022.

So if you’re interested in Andrei Neagoie, Daniel Bourke’s “Complete Machine Learning & Data Science Bootcamp 2021” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Complete Machine Learning & Data Science Bootcamp 2021 review for 2022

In our review of this course, we try to help you answer all of your most important questions about Complete Machine Learning & Data Science Bootcamp 2021 as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use CMLADSZTM as an abbreviation of the course name?

During our Complete Machine Learning & Data Science Bootcamp 2021 course review, you might sometimes see us refer to it as CMLADSZTM for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and CMLADSZTM is simpler and easier for reviewing purposes

The full course name is 59 characters long, including blanks, while CMLADSZTM is 9 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 50 characters every time we use CMLADSZTM.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to CMLADSZTM throughout the remainder of this review.

Is the Complete Machine Learning & Data Science Bootcamp 2021 course for you?

To determine whether Andrei Neagoie, Daniel Bourke’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Andrei Neagoie, Daniel Bourke’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Andrei Neagoie, Daniel Bourke chose for the course, “Complete Machine Learning & Data Science Bootcamp 2021”, as well as its subtitle: “Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Andrei Neagoie, Daniel Bourke is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what CMLADSZTM is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Andrei Neagoie, Daniel Bourke hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Complete Machine Learning & Data Science Bootcamp 2021 is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Andrei Neagoie, Daniel Bourke’s official description of CMLADSZTM

This is a brand new Machine Learning and Data Science course just launched in 2020 and updated this month with the latest trends and skills! Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 350,000+ engineers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. Graduates of Andrei’s courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies.

Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).

(Read more about this course on the official course page.)

Does CMLADSZTM pass the 30 Seconds Test?

You can read a lot more about Complete Machine Learning & Data Science Bootcamp 2021 on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Andrei Neagoie, Daniel Bourke has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Complete Machine Learning & Data Science Bootcamp 2021 appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with CMLADSZTM above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Andrei Neagoie, Daniel Bourke do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Andrei Neagoie, Daniel Bourke’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Andrei Neagoie, Daniel Bourke sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the CMLADSZTM course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Andrei Neagoie, Daniel Bourke’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Andrei Neagoie, Daniel Bourke, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Andrei Neagoie, Daniel Bourke’s Udemy bio

Andrei is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Tesla, Amazon, JP Morgan, IBM, UNIQLO etc… He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life.

What did you think about Andrei Neagoie, Daniel Bourke after reading just the first few lines of the bio above?

After reading just the first few lines about Andrei Neagoie, Daniel Bourke, did it make you more or less interested in taking the CMLADSZTM course?

And did it make you feel like Andrei Neagoie, Daniel Bourke was more or less credible and qualified to teach Complete Machine Learning & Data Science Bootcamp 2021?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the CMLADSZTM lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Complete Machine Learning & Data Science Bootcamp 2021 course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the CMLADSZTM course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Andrei Neagoie, Daniel Bourke’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Complete Machine Learning & Data Science Bootcamp 2021, as well as the course’s subtitle, Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that CMLADSZTM is potentially a good, useful course for you, and you can have more confidence in Andrei Neagoie, Daniel Bourke’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Andrei Neagoie, Daniel Bourke that you enjoyed?

Have you already learned something from Andrei Neagoie, Daniel Bourke that you valued or enjoyed?

For example, does the Complete Machine Learning & Data Science Bootcamp 2021 training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any CMLADSZTM lessons for free, have you perhaps watched a YouTube video by Andrei Neagoie, Daniel Bourke, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Andrei Neagoie, Daniel Bourke’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Andrei Neagoie, Daniel Bourke’s teaching methods, and the more you enjoy them, the more likely it is that Complete Machine Learning & Data Science Bootcamp 2021 will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Andrei Neagoie, Daniel Bourke before purchasing this course, since it’s one of the best ways to determine whether CMLADSZTM will be helpful for you.)

Are “Complete Machine Learning & Data Science Bootcamp 2021” reviews generally positive?

On the bottom of the CMLADSZTM page, you can read student reviews of the class.

Prior to October 03, 2022, there were 30,297 students enrolled, 5,033 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate CMLADSZTM the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the CMLADSZTM reviews to get an overall sense of them. You don’t have to read each one!

Is Andrei Neagoie, Daniel Bourke responsive to student questions in the CMLADSZTM training?

You can see what other students have to say about this in their CMLADSZTM reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Andrei Neagoie, Daniel Bourke a message through this system quite easily, even if you haven’t bought CMLADSZTM yet.

For example, you could say, “Hi, and I came across CMLADSZTM while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Complete Machine Learning & Data Science Bootcamp 2021 on your own, online?

This is a big one, because Complete Machine Learning & Data Science Bootcamp 2021 is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Complete Machine Learning & Data Science Bootcamp 2021.

Yes, you will be able to interact with the students and the teacher, Andrei Neagoie, Daniel Bourke, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of CMLADSZTM make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Complete Machine Learning & Data Science Bootcamp 2021 training that looks something like this:

  • The purpose of CMLADSZTM can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Andrei Neagoie, Daniel Bourke is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other CMLADSZTM students have great things to say about the program

Other benefits include:

  • You get to go through CMLADSZTM at your own pace
  • You join a community of 30,297 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that CMLADSZTM would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford CMLADSZTM?

Can you comfortably afford the cost of Complete Machine Learning & Data Science Bootcamp 2021?

This is an important question to answer, because even if you think CMLADSZTM sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $14.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on CMLADSZTM with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Complete Machine Learning & Data Science Bootcamp 2021?

By far, the easiest way to get the best and biggest discount on this course is to use the Complete Machine Learning & Data Science Bootcamp 2021 discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Andrei Neagoie, Daniel Bourke’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best CMLADSZTM course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting CMLADSZTM for a better price, but also with any other Andrei Neagoie, Daniel Bourke Udemy course that you’d like to get for cheaper.

How can Google help you get a CMLADSZTM discount?

To use this method, do a Google search for the CMLADSZTM training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Complete Machine Learning & Data Science Bootcamp 2021 promo code” or “Complete Machine Learning & Data Science Bootcamp 2021 udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Andrei Neagoie, Daniel Bourke’s name and see what happens.

For example, you might do a Google search for “Andrei Neagoie, Daniel Bourke Udemy coupons” or “Andrei Neagoie, Daniel Bourke course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Complete Machine Learning & Data Science Bootcamp 2021 coupons” rather than “Andrei Neagoie, Daniel Bourke coupons”.

How can a Udemy sale get you CMLADSZTM for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get CMLADSZTM for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Andrei Neagoie, Daniel Bourke decides not to participate in the site wide sale, then you won’t get a discount on CMLADSZTM, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the CMLADSZTM course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a CMLADSZTM discount from Andrei Neagoie, Daniel Bourke?

If you’re really serious about getting “Complete Machine Learning & Data Science Bootcamp 2021” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Andrei Neagoie, Daniel Bourke, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Andrei Neagoie, Daniel Bourke’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Complete Machine Learning & Data Science Bootcamp 2021. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Andrei Neagoie, Daniel Bourke’s mailing list, if you can find it, and then you hope that at some time CMLADSZTM will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get CMLADSZTM for free?

Of course, the best possible price for the CMLADSZTM training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Andrei Neagoie, Daniel Bourke has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Complete Machine Learning & Data Science Bootcamp 2021 free coupon” or “Complete Machine Learning & Data Science Bootcamp 2021 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Andrei Neagoie, Daniel Bourke has offered free coupons for CMLADSZTM in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a CMLADSZTM free download?

It’s important to understand that there’s a difference between getting full access to the CMLADSZTM training for free legally with a free coupon code vs. finding a way to download CMLADSZTM illegally.

If you really want to go the download route, you can do a google search for something like “Complete Machine Learning & Data Science Bootcamp 2021 download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Complete Machine Learning & Data Science Bootcamp 2021 free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Andrei Neagoie, Daniel Bourke created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 30,297 students enrolled in the program.

Can you get a refund on Complete Machine Learning & Data Science Bootcamp 2021 if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the CMLADSZTM training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Andrei Neagoie, Daniel Bourke’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on CMLADSZTM no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the CMLADSZTM training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Andrei Neagoie, Daniel Bourke could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing CMLADSZTM and not liking it, since you can always get your money back.

What is OCP’s overall rating of Complete Machine Learning & Data Science Bootcamp 2021?

During this CMLADSZTM review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the CMLADSZTM training, the instructor, Andrei Neagoie, Daniel Bourke, and reading what other students have said about this program, we give it an overall rating of 4.8 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Complete Machine Learning & Data Science Bootcamp 2021?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about CMLADSZTM

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what CMLADSZTM’s online training is all about:

CMLADSZTM coupon & course info

Course Name: Complete Machine Learning & Data Science Bootcamp 2021

Subtitle: Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more!

Instructor: Taught by Andrei Neagoie, Daniel Bourke

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $14.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

CMLADSZTM review info & popularity

Prior to October 03, 2022…

Students: 30,297 students enrolled

Ratings: 5,033 reviews

Rank: ranked #1569 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Complete Machine Learning & Data Science Bootcamp 2021 is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

CMLADSZTM final details

Languages: English

Skill level: All Levels

Lectures: 370 lectures lectures lessons

Duration: 43 total hours hours of video

What you get: Become a Data Scientist and get hired

Target audience: Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python

Requirements: No prior experience is needed (not even Math and Statistics). We start from the very basics.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Modern Natural Language Processing in Python (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Modern Natural Language Processing in Python - Udemy Coupon

Get Discount


This is the best Udemy Modern Natural Language Processing in Python coupon code discount for 2022.

So if you’re interested in Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s “Modern Natural Language Processing in Python” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Modern Natural Language Processing in Python review for 2022

In our review of this course, we try to help you answer all of your most important questions about Modern Natural Language Processing in Python as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use MNLPIP as an abbreviation of the course name?

During our Modern Natural Language Processing in Python course review, you might sometimes see us refer to it as MNLPIP for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and MNLPIP is simpler and easier for reviewing purposes

The full course name is 44 characters long, including blanks, while MNLPIP is 6 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 38 characters every time we use MNLPIP.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to MNLPIP throughout the remainder of this review.

Is the Modern Natural Language Processing in Python course for you?

To determine whether Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team chose for the course, “Modern Natural Language Processing in Python”, as well as its subtitle: “Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what MNLPIP is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Modern Natural Language Processing in Python is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s official description of MNLPIP

Modern Natural Language Processing course is designed for anyone who wants to grow or start a new career and gain a strong background in NLP.

Nowadays, the industry is becoming more and more in need of NLP solutions. Chatbots and online automation, language modeling, event extraction, fraud detection on huge contracts are only a few examples of what is demanded today. Learning NLP is key to bring real solutions to the present and future needs.

(Read more about this course on the official course page.)

Does MNLPIP pass the 30 Seconds Test?

You can read a lot more about Modern Natural Language Processing in Python on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Modern Natural Language Processing in Python appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with MNLPIP above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the MNLPIP course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s Udemy bio

After graduating in Physics and Mathematics from École Polytechnique in France, I specialized in Machine Learning and Artificial Intelligence at ENS. As a Mathematician I like to grasp the full implications behind every algorithm, while as a physicist I want to consider the reality of data from a practical point of view when building an AI. I decided to combined those two aspects of science to build inspiring, intuitive and useful courses for everyone!

What did you think about Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team after reading just the first few lines of the bio above?

After reading just the first few lines about Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, did it make you more or less interested in taking the MNLPIP course?

And did it make you feel like Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team was more or less credible and qualified to teach Modern Natural Language Processing in Python?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the MNLPIP lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Modern Natural Language Processing in Python course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the MNLPIP course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Modern Natural Language Processing in Python, as well as the course’s subtitle, Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that MNLPIP is potentially a good, useful course for you, and you can have more confidence in Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team that you enjoyed?

Have you already learned something from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team that you valued or enjoyed?

For example, does the Modern Natural Language Processing in Python training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any MNLPIP lessons for free, have you perhaps watched a YouTube video by Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s teaching methods, and the more you enjoy them, the more likely it is that Modern Natural Language Processing in Python will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team before purchasing this course, since it’s one of the best ways to determine whether MNLPIP will be helpful for you.)

Are “Modern Natural Language Processing in Python” reviews generally positive?

On the bottom of the MNLPIP page, you can read student reviews of the class.

Prior to October 03, 2022, there were 44,859 students enrolled, 1,027 reviews / ratings, and it was overall rated 4.2 out of 5.

Obviously, the more highly other students rate MNLPIP the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the MNLPIP reviews to get an overall sense of them. You don’t have to read each one!

Is Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team responsive to student questions in the MNLPIP training?

You can see what other students have to say about this in their MNLPIP reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team a message through this system quite easily, even if you haven’t bought MNLPIP yet.

For example, you could say, “Hi, and I came across MNLPIP while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Modern Natural Language Processing in Python on your own, online?

This is a big one, because Modern Natural Language Processing in Python is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Modern Natural Language Processing in Python.

Yes, you will be able to interact with the students and the teacher, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of MNLPIP make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Modern Natural Language Processing in Python training that looks something like this:

  • The purpose of MNLPIP can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other MNLPIP students have great things to say about the program

Other benefits include:

  • You get to go through MNLPIP at your own pace
  • You join a community of 44,859 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that MNLPIP would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford MNLPIP?

Can you comfortably afford the cost of Modern Natural Language Processing in Python?

This is an important question to answer, because even if you think MNLPIP sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $15.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on MNLPIP with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Modern Natural Language Processing in Python?

By far, the easiest way to get the best and biggest discount on this course is to use the Modern Natural Language Processing in Python discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best MNLPIP course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting MNLPIP for a better price, but also with any other Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team Udemy course that you’d like to get for cheaper.

How can Google help you get a MNLPIP discount?

To use this method, do a Google search for the MNLPIP training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Modern Natural Language Processing in Python promo code” or “Modern Natural Language Processing in Python udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s name and see what happens.

For example, you might do a Google search for “Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team Udemy coupons” or “Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Modern Natural Language Processing in Python coupons” rather than “Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team coupons”.

How can a Udemy sale get you MNLPIP for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get MNLPIP for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team decides not to participate in the site wide sale, then you won’t get a discount on MNLPIP, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the MNLPIP course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a MNLPIP discount from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team?

If you’re really serious about getting “Modern Natural Language Processing in Python” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Modern Natural Language Processing in Python. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s mailing list, if you can find it, and then you hope that at some time MNLPIP will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get MNLPIP for free?

Of course, the best possible price for the MNLPIP training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Modern Natural Language Processing in Python free coupon” or “Modern Natural Language Processing in Python 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team has offered free coupons for MNLPIP in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a MNLPIP free download?

It’s important to understand that there’s a difference between getting full access to the MNLPIP training for free legally with a free coupon code vs. finding a way to download MNLPIP illegally.

If you really want to go the download route, you can do a google search for something like “Modern Natural Language Processing in Python download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Modern Natural Language Processing in Python free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 44,859 students enrolled in the program.

Can you get a refund on Modern Natural Language Processing in Python if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the MNLPIP training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on MNLPIP no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the MNLPIP training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing MNLPIP and not liking it, since you can always get your money back.

What is OCP’s overall rating of Modern Natural Language Processing in Python?

During this MNLPIP review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the MNLPIP training, the instructor, Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, and reading what other students have said about this program, we give it an overall rating of 4.7 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Modern Natural Language Processing in Python?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

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2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about MNLPIP

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what MNLPIP’s online training is all about:

MNLPIP coupon & course info

Course Name: Modern Natural Language Processing in Python

Subtitle: Solve Seq2Seq and Classification NLP tasks with Transformer and CNN using Tensorflow 2 in Google Colab

Instructor: Taught by Martin Jocqueviel, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $15.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

MNLPIP review info & popularity

Prior to October 03, 2022…

Students: 44,859 students enrolled

Ratings: 1,027 reviews

Rank: ranked #1436 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Modern Natural Language Processing in Python is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

MNLPIP final details

Languages: English

Skill level: Intermediate

Lectures: 39 lectures lectures lessons

Duration: 6 total hours hours of video

What you get: Build a Transformer, new model created by Google, for any sequence to sequence task (e.g. a translator)

Target audience: AI amateurs that are eager to learn how we process language nowadays

Requirements: PC with Internet connection

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Deep Learning with Python and Keras (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

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This is the best Udemy Deep Learning with Python and Keras coupon code discount for 2022.

So if you’re interested in Data Weekends, Jose Portilla, Francesco Mosconi’s “Deep Learning with Python and Keras” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Deep Learning with Python and Keras review for 2022

In our review of this course, we try to help you answer all of your most important questions about Deep Learning with Python and Keras as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use DLWPAK as an abbreviation of the course name?

During our Deep Learning with Python and Keras course review, you might sometimes see us refer to it as DLWPAK for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and DLWPAK is simpler and easier for reviewing purposes

The full course name is 35 characters long, including blanks, while DLWPAK is 6 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 29 characters every time we use DLWPAK.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to DLWPAK throughout the remainder of this review.

Is the Deep Learning with Python and Keras course for you?

To determine whether Data Weekends, Jose Portilla, Francesco Mosconi’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Data Weekends, Jose Portilla, Francesco Mosconi’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Data Weekends, Jose Portilla, Francesco Mosconi chose for the course, “Deep Learning with Python and Keras”, as well as its subtitle: “Understand and build Deep Learning models for images, text and more using Python and Keras”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Data Weekends, Jose Portilla, Francesco Mosconi is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what DLWPAK is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Data Weekends, Jose Portilla, Francesco Mosconi hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Deep Learning with Python and Keras is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Data Weekends, Jose Portilla, Francesco Mosconi’s official description of DLWPAK

This course is designed to provide a complete introduction to Deep Learning. It is aimed at beginners and intermediate programmers and data scientists who are familiar with Python and want to understand and apply Deep Learning techniques to a variety of problems.

We start with a review of Deep Learning applications and a recap of Machine Learning tools and techniques. Then we introduce Artificial Neural Networks and explain how they are trained to solve Regression and Classification problems.

Over the rest of the course we introduce and explain several architectures including Fully Connected, Convolutional and Recurrent Neural Networks, and for each of these we explain both the theory and give plenty of example applications.

(Read more about this course on the official course page.)

Does DLWPAK pass the 30 Seconds Test?

You can read a lot more about Deep Learning with Python and Keras on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Data Weekends, Jose Portilla, Francesco Mosconi has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Deep Learning with Python and Keras appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with DLWPAK above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Data Weekends, Jose Portilla, Francesco Mosconi do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Data Weekends, Jose Portilla, Francesco Mosconi’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Data Weekends, Jose Portilla, Francesco Mosconi sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the DLWPAK course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Data Weekends, Jose Portilla, Francesco Mosconi’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Data Weekends, Jose Portilla, Francesco Mosconi, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Data Weekends, Jose Portilla, Francesco Mosconi’s Udemy bio

Data Weekends™ are accelerated data science workshop for programmers where you can quickly learn to apply predictive analytics to real-world data. We offer courses in Data Analytics, Machine Learning, Deep Learning and Reinforcement Learning.

What did you think about Data Weekends, Jose Portilla, Francesco Mosconi after reading just the first few lines of the bio above?

After reading just the first few lines about Data Weekends, Jose Portilla, Francesco Mosconi, did it make you more or less interested in taking the DLWPAK course?

And did it make you feel like Data Weekends, Jose Portilla, Francesco Mosconi was more or less credible and qualified to teach Deep Learning with Python and Keras?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the DLWPAK lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Deep Learning with Python and Keras course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the DLWPAK course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Data Weekends, Jose Portilla, Francesco Mosconi’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Deep Learning with Python and Keras, as well as the course’s subtitle, Understand and build Deep Learning models for images, text and more using Python and Keras.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that DLWPAK is potentially a good, useful course for you, and you can have more confidence in Data Weekends, Jose Portilla, Francesco Mosconi’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Data Weekends, Jose Portilla, Francesco Mosconi that you enjoyed?

Have you already learned something from Data Weekends, Jose Portilla, Francesco Mosconi that you valued or enjoyed?

For example, does the Deep Learning with Python and Keras training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any DLWPAK lessons for free, have you perhaps watched a YouTube video by Data Weekends, Jose Portilla, Francesco Mosconi, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Data Weekends, Jose Portilla, Francesco Mosconi’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Data Weekends, Jose Portilla, Francesco Mosconi’s teaching methods, and the more you enjoy them, the more likely it is that Deep Learning with Python and Keras will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Data Weekends, Jose Portilla, Francesco Mosconi before purchasing this course, since it’s one of the best ways to determine whether DLWPAK will be helpful for you.)

Are “Deep Learning with Python and Keras” reviews generally positive?

On the bottom of the DLWPAK page, you can read student reviews of the class.

Prior to October 03, 2022, there were 20,031 students enrolled, 2,627 reviews / ratings, and it was overall rated 4.2 out of 5.

Obviously, the more highly other students rate DLWPAK the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the DLWPAK reviews to get an overall sense of them. You don’t have to read each one!

Is Data Weekends, Jose Portilla, Francesco Mosconi responsive to student questions in the DLWPAK training?

You can see what other students have to say about this in their DLWPAK reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Data Weekends, Jose Portilla, Francesco Mosconi a message through this system quite easily, even if you haven’t bought DLWPAK yet.

For example, you could say, “Hi, and I came across DLWPAK while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Deep Learning with Python and Keras on your own, online?

This is a big one, because Deep Learning with Python and Keras is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Deep Learning with Python and Keras.

Yes, you will be able to interact with the students and the teacher, Data Weekends, Jose Portilla, Francesco Mosconi, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of DLWPAK make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Deep Learning with Python and Keras training that looks something like this:

  • The purpose of DLWPAK can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Data Weekends, Jose Portilla, Francesco Mosconi is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other DLWPAK students have great things to say about the program

Other benefits include:

  • You get to go through DLWPAK at your own pace
  • You join a community of 20,031 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that DLWPAK would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford DLWPAK?

Can you comfortably afford the cost of Deep Learning with Python and Keras?

This is an important question to answer, because even if you think DLWPAK sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $14.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on DLWPAK with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Deep Learning with Python and Keras?

By far, the easiest way to get the best and biggest discount on this course is to use the Deep Learning with Python and Keras discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Data Weekends, Jose Portilla, Francesco Mosconi’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best DLWPAK course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting DLWPAK for a better price, but also with any other Data Weekends, Jose Portilla, Francesco Mosconi Udemy course that you’d like to get for cheaper.

How can Google help you get a DLWPAK discount?

To use this method, do a Google search for the DLWPAK training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Deep Learning with Python and Keras promo code” or “Deep Learning with Python and Keras udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Data Weekends, Jose Portilla, Francesco Mosconi’s name and see what happens.

For example, you might do a Google search for “Data Weekends, Jose Portilla, Francesco Mosconi Udemy coupons” or “Data Weekends, Jose Portilla, Francesco Mosconi course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Deep Learning with Python and Keras coupons” rather than “Data Weekends, Jose Portilla, Francesco Mosconi coupons”.

How can a Udemy sale get you DLWPAK for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get DLWPAK for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Data Weekends, Jose Portilla, Francesco Mosconi decides not to participate in the site wide sale, then you won’t get a discount on DLWPAK, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the DLWPAK course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a DLWPAK discount from Data Weekends, Jose Portilla, Francesco Mosconi?

If you’re really serious about getting “Deep Learning with Python and Keras” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Data Weekends, Jose Portilla, Francesco Mosconi, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Data Weekends, Jose Portilla, Francesco Mosconi’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Deep Learning with Python and Keras. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Data Weekends, Jose Portilla, Francesco Mosconi’s mailing list, if you can find it, and then you hope that at some time DLWPAK will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get DLWPAK for free?

Of course, the best possible price for the DLWPAK training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Data Weekends, Jose Portilla, Francesco Mosconi has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Deep Learning with Python and Keras free coupon” or “Deep Learning with Python and Keras 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Data Weekends, Jose Portilla, Francesco Mosconi has offered free coupons for DLWPAK in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a DLWPAK free download?

It’s important to understand that there’s a difference between getting full access to the DLWPAK training for free legally with a free coupon code vs. finding a way to download DLWPAK illegally.

If you really want to go the download route, you can do a google search for something like “Deep Learning with Python and Keras download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Deep Learning with Python and Keras free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Data Weekends, Jose Portilla, Francesco Mosconi created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 20,031 students enrolled in the program.

Can you get a refund on Deep Learning with Python and Keras if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the DLWPAK training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Data Weekends, Jose Portilla, Francesco Mosconi’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on DLWPAK no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the DLWPAK training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Data Weekends, Jose Portilla, Francesco Mosconi could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing DLWPAK and not liking it, since you can always get your money back.

What is OCP’s overall rating of Deep Learning with Python and Keras?

During this DLWPAK review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the DLWPAK training, the instructor, Data Weekends, Jose Portilla, Francesco Mosconi, and reading what other students have said about this program, we give it an overall rating of 4.6 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Deep Learning with Python and Keras?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about DLWPAK

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what DLWPAK’s online training is all about:

DLWPAK coupon & course info

Course Name: Deep Learning with Python and Keras

Subtitle: Understand and build Deep Learning models for images, text and more using Python and Keras

Instructor: Taught by Data Weekends, Jose Portilla, Francesco Mosconi

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $14.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

DLWPAK review info & popularity

Prior to October 03, 2022…

Students: 20,031 students enrolled

Ratings: 2,627 reviews

Rank: ranked #525 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Deep Learning with Python and Keras is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

DLWPAK final details

Languages: English

Skill level: Intermediate

Lectures: 148 lectures lectures lessons

Duration: 10 total hours hours of video

What you get: To describe what Deep Learning is in a simple yet accurate way

Target audience: Software engineers who are curious about data science and about the Deep Learning buzz and want to get a better understanding of it

Requirements: Knowledge of Python, familiarity with control flow (if/else, for loops) and pythonic constructs (functions, classes, iterables, generators)

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off Python & Machine Learning for Financial Analysis (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

Python & Machine Learning for Financial Analysis - Udemy Coupon

Get Discount


This is the best Udemy Python & Machine Learning for Financial Analysis coupon code discount for 2022.

So if you’re interested in Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s “Python & Machine Learning for Financial Analysis” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

Python & Machine Learning for Financial Analysis review for 2022

In our review of this course, we try to help you answer all of your most important questions about Python & Machine Learning for Financial Analysis as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use P&MLFFA as an abbreviation of the course name?

During our Python & Machine Learning for Financial Analysis course review, you might sometimes see us refer to it as P&MLFFA for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and P&MLFFA is simpler and easier for reviewing purposes

The full course name is 48 characters long, including blanks, while P&MLFFA is 7 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 41 characters every time we use P&MLFFA.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to P&MLFFA throughout the remainder of this review.

Is the Python & Machine Learning for Financial Analysis course for you?

To determine whether Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard chose for the course, “Python & Machine Learning for Financial Analysis”, as well as its subtitle: “Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what P&MLFFA is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what Python & Machine Learning for Financial Analysis is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s official description of P&MLFFA

Are you ready to learn python programming fundamentals and directly apply them to solve real world applications in Finance and Banking?

If the answer is yes, then welcome to the “The Complete Python and Machine Learning for Financial Analysis” course in which you will learn everything you need to develop practical real-world finance/banking applications in Python!

So why Python?

(Read more about this course on the official course page.)

Does P&MLFFA pass the 30 Seconds Test?

You can read a lot more about Python & Machine Learning for Financial Analysis on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did Python & Machine Learning for Financial Analysis appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with P&MLFFA above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the P&MLFFA course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s Udemy bio

Ryan Ahmed is a best-selling Udemy instructor who is passionate about education and technology. Ryan’s mission is to make quality education accessible and affordable to everyone. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with focus on Mechatronics and Electric Vehicle (EV) control. He also received a Master’s of Applied Science degree from McMaster, with focus on Artificial Intelligence (AI) and fault detection and an MBA in Finance from the DeGroote School of Business.

What did you think about Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard after reading just the first few lines of the bio above?

After reading just the first few lines about Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, did it make you more or less interested in taking the P&MLFFA course?

And did it make you feel like Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard was more or less credible and qualified to teach Python & Machine Learning for Financial Analysis?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the P&MLFFA lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the Python & Machine Learning for Financial Analysis course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the P&MLFFA course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, Python & Machine Learning for Financial Analysis, as well as the course’s subtitle, Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that P&MLFFA is potentially a good, useful course for you, and you can have more confidence in Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard that you enjoyed?

Have you already learned something from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard that you valued or enjoyed?

For example, does the Python & Machine Learning for Financial Analysis training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any P&MLFFA lessons for free, have you perhaps watched a YouTube video by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s teaching methods, and the more you enjoy them, the more likely it is that Python & Machine Learning for Financial Analysis will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard before purchasing this course, since it’s one of the best ways to determine whether P&MLFFA will be helpful for you.)

Are “Python & Machine Learning for Financial Analysis” reviews generally positive?

On the bottom of the P&MLFFA page, you can read student reviews of the class.

Prior to October 03, 2022, there were 71,942 students enrolled, 904 reviews / ratings, and it was overall rated 4.6 out of 5.

Obviously, the more highly other students rate P&MLFFA the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the P&MLFFA reviews to get an overall sense of them. You don’t have to read each one!

Is Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard responsive to student questions in the P&MLFFA training?

You can see what other students have to say about this in their P&MLFFA reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard a message through this system quite easily, even if you haven’t bought P&MLFFA yet.

For example, you could say, “Hi, and I came across P&MLFFA while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in Python & Machine Learning for Financial Analysis on your own, online?

This is a big one, because Python & Machine Learning for Financial Analysis is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking Python & Machine Learning for Financial Analysis.

Yes, you will be able to interact with the students and the teacher, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of P&MLFFA make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the Python & Machine Learning for Financial Analysis training that looks something like this:

  • The purpose of P&MLFFA can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other P&MLFFA students have great things to say about the program

Other benefits include:

  • You get to go through P&MLFFA at your own pace
  • You join a community of 71,942 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that P&MLFFA would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford P&MLFFA?

Can you comfortably afford the cost of Python & Machine Learning for Financial Analysis?

This is an important question to answer, because even if you think P&MLFFA sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on P&MLFFA with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on Python & Machine Learning for Financial Analysis?

By far, the easiest way to get the best and biggest discount on this course is to use the Python & Machine Learning for Financial Analysis discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best P&MLFFA course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting P&MLFFA for a better price, but also with any other Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard Udemy course that you’d like to get for cheaper.

How can Google help you get a P&MLFFA discount?

To use this method, do a Google search for the P&MLFFA training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy Python & Machine Learning for Financial Analysis promo code” or “Python & Machine Learning for Financial Analysis udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s name and see what happens.

For example, you might do a Google search for “Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard Udemy coupons” or “Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “Python & Machine Learning for Financial Analysis coupons” rather than “Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard coupons”.

How can a Udemy sale get you P&MLFFA for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get P&MLFFA for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard decides not to participate in the site wide sale, then you won’t get a discount on P&MLFFA, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the P&MLFFA course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a P&MLFFA discount from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard?

If you’re really serious about getting “Python & Machine Learning for Financial Analysis” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in Python & Machine Learning for Financial Analysis. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s mailing list, if you can find it, and then you hope that at some time P&MLFFA will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get P&MLFFA for free?

Of course, the best possible price for the P&MLFFA training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “Python & Machine Learning for Financial Analysis free coupon” or “Python & Machine Learning for Financial Analysis 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard has offered free coupons for P&MLFFA in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a P&MLFFA free download?

It’s important to understand that there’s a difference between getting full access to the P&MLFFA training for free legally with a free coupon code vs. finding a way to download P&MLFFA illegally.

If you really want to go the download route, you can do a google search for something like “Python & Machine Learning for Financial Analysis download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “Python & Machine Learning for Financial Analysis free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 71,942 students enrolled in the program.

Can you get a refund on Python & Machine Learning for Financial Analysis if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the P&MLFFA training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on P&MLFFA no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the P&MLFFA training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing P&MLFFA and not liking it, since you can always get your money back.

What is OCP’s overall rating of Python & Machine Learning for Financial Analysis?

During this P&MLFFA review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the P&MLFFA training, the instructor, Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard, and reading what other students have said about this program, we give it an overall rating of 5 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to Python & Machine Learning for Financial Analysis?

If you like this course, you might also be interested in:


1. UIPath RPA Tutorial – Zero To Advanced RPA UIPath Developer

Start your RPA Journey from Zero to Hero with UIPath

Taught by Shahansha Shaik


2. Finance 101: Financial Skills for the Real World

Understand and Learn How to Apply the Core Principles of Finance In a Couple of Hours

Taught by 365 Careers


3. Excel, Fin Analysis, Valuation and Financial Modeling 2019

Learn Excel for Finance, Financial Analysis, DCF and Relative Valuation and Financial Modeling from scratch.

Taught by Institute of Investment Banking


4. An Introduction to Reliability Engineering

A Study of Why Things Fail and How to Measure and Improve their Useful Life

Taught by Ray Harkins


5. The Complete Google Ads Masterclass (Former Google AdWords)

Learn Google Ads (Former Google AdWords) to Get More Traffic, Leads & Sales to Grow Your Business & Career.

Taught by Robin & Jesper

TLDR: Just the quick facts about P&MLFFA

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what P&MLFFA’s online training is all about:

P&MLFFA coupon & course info

Course Name: Python & Machine Learning for Financial Analysis

Subtitle: Master Python Programming Fundamentals and Harness the Power of ML to Solve Real-World Practical Applications in Finance

Instructor: Taught by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Mitchell Bouchard

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

P&MLFFA review info & popularity

Prior to October 03, 2022…

Students: 71,942 students enrolled

Ratings: 904 reviews

Rank: ranked #212 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if Python & Machine Learning for Financial Analysis is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

P&MLFFA final details

Languages: English

Skill level: Intermediate

Lectures: 131 lectures lectures lessons

Duration: 23 total hours hours of video

What you get: Master Python 3 programming fundamentals for Data Science and Machine Learning with focus on Finance.

Target audience: Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.

Requirements: No prior experience required.

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons

95% off A Complete Guide on TensorFlow 2.0 using Keras API (Coupon & Review)

Attention: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission at no extra cost to you. Thanks!

A Complete Guide on TensorFlow 2.0 using Keras API - Udemy Coupon

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This is the best Udemy A Complete Guide on TensorFlow 2.0 using Keras API coupon code discount for 2022.

So if you’re interested in Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s “A Complete Guide on TensorFlow 2.0 using Keras API” course, which will help you increase your Development skills, get your discount on this Udemy online course up above while it’s still available. (The coupon code will be instantly applied.)

A Complete Guide on TensorFlow 2.0 using Keras API review for 2022

In our review of this course, we try to help you answer all of your most important questions about A Complete Guide on TensorFlow 2.0 using Keras API as quickly and efficiently as possible, so that you can determine whether this online education training is worth your time and money.

Feel free to jump to whatever question you want answered the most.

Here’s what you’ll learn:

Why use ACGOT2UKA as an abbreviation of the course name?

During our A Complete Guide on TensorFlow 2.0 using Keras API course review, you might sometimes see us refer to it as ACGOT2UKA for the following 2 reasons:

  1. We created the acronym by taking the first letter of every word (which was very ingenious and innovative, we know)
  2. We’re lazy and ACGOT2UKA is simpler and easier for reviewing purposes

The full course name is 50 characters long, including blanks, while ACGOT2UKA is 9 characters long.

You do the math.

Okay, we’ll do the math. We’re saving 41 characters every time we use ACGOT2UKA.

So, just a heads up that we’ll be using this abbreviation sometimes, so you’re not left scratching your head and wondering what the heck we’re talking about whenever we refer to ACGOT2UKA throughout the remainder of this review.

Is the A Complete Guide on TensorFlow 2.0 using Keras API course for you?

To determine whether Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s Udemy course is a good fit for you or not, ask yourself the following questions down below.

The more you answer “yes” to each question, the more likely it is that you’ll like this course.

Can you understand what Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s course is about in 30 seconds or less?

Hopefully, you can easily grasp in 10 seconds or less what this online course is about simply by taking a look at the title that Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin chose for the course, “A Complete Guide on TensorFlow 2.0 using Keras API”, as well as its subtitle: “Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0”.

This combo of title and subtitle should be enough to communicate the purpose of the training if Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin is a good, clear communicator (which, of course, you want in a teacher).

In our opinion, if you still don’t know what ACGOT2UKA is about after looking at these two things, then this is a red flag, and you might be better off not taking this class.

Among other things, it means Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin hasn’t clearly and accurately conveyed what the course is about and might not be the best teacher for you.

For similar reasons, it’s important that you’re able to clearly understand what A Complete Guide on TensorFlow 2.0 using Keras API is all about from the first few lines of the course description.

So take just a few seconds to read the opening lines down below and see what you think of them. 

Opening lines of Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s official description of ACGOT2UKA

Welcome to Tensorflow 2.0!

TensorFlow 2.0 has just been released, and it introduced many features that simplify the model development and maintenance processes. From the educational side, it boosts people’s understanding by simplifying many complex concepts. From the industry point of view, models are much easier to understand, maintain, and develop.

(Read more about this course on the official course page.)

Does ACGOT2UKA pass the 30 Seconds Test?

You can read a lot more about A Complete Guide on TensorFlow 2.0 using Keras API on the official course page on Udemy, but the point is this: are the title, subtitle, and just the first few lines of the description enough to help you understand what the course is about?

If so, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin has done a good job and can be considered more trustworthy and a good communicator, which are important qualities for any teacher.

And, if not, maybe you’re better off looking at other Development classes that are more clearly defined and more tailored to your specific interests.

Did A Complete Guide on TensorFlow 2.0 using Keras API appeal to you in 30 seconds or less?

Now that you’ve done the 30 Second Test with ACGOT2UKA above, what is your gut reaction to this Development course with only the basic information of its title, subtitle, and the first few opening lines of its official course summary?

Did Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin do a good job conveying its subject matter, and did it immediately get your attention and appeal to you?

If so, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s online course is certainly worth considering some more.

But if not, perhaps it’s in your best interest to consider some other Development courses instead, because clear communication and being able to hook and maintain your interest are two very important qualities for your online learning success.

Does Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin sound like a course instructor you’d like to learn from?

You’ve already learned how to use The 30 Second Test to make a quick evaluation of whether the ACGOT2UKA course is worth taking.

We have a similar 15 Second Bio Test where you read only the first few lines of an instructor’s background — in this case, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s background — and then you make a quick, snap judgment as to whether you think the instructor would be ideal for you.

There is no right or wrong answer. It’s just about going with your gut instinct. What might appeal to one potential student might alienate another, and vice versa.

(FYI, all Udemy instructors, including Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, have a Udemy profile on their course page, so you can easily check for a bio and background on the Udemy website that way. We’re only including the first few lines of the bio down below for The 15 Second Bio Test).

Opening lines from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s Udemy bio

Hadelin is the co-founder and CEO at BlueLife AI, which leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by innovating, automating processes and maximizing efficiency. Hadelin is also an online entrepreneur who has created 70+ top-rated educational e-courses to the world on topics such as Machine Learning, Deep Learning, Artificial Intelligence and Blockchain, which have reached 1M+ students in 210 countries.

What did you think about Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin after reading just the first few lines of the bio above?

After reading just the first few lines about Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, did it make you more or less interested in taking the ACGOT2UKA course?

And did it make you feel like Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin was more or less credible and qualified to teach A Complete Guide on TensorFlow 2.0 using Keras API?

Finally, overall, did you feel like you’d receive the proper training from the instructor of this Development course?

As always, we encourage you to listen to your gut instinct, which is different for every student.

Are the ACGOT2UKA lessons clear, specific, and organized well?

Part of the (good) problem with Udemy’s online courses, such as the A Complete Guide on TensorFlow 2.0 using Keras API course, is that the instructors are constantly updating them, including adding and renaming lessons.

So it makes no sense whatsoever for us to list out all the modules and lessons in the ACGOT2UKA course here, because you can just as easily go to the Udemy course page and get all the up to date course structure as of right now.

We do, however, have some tips about reviewing Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s course structure, so that you can get a better sense of whether this program is worth your time or not.

In a nutshell, you want to scan the the titles of the different sections and lessons of the course, and verify that they are clearly relevant to the course’s name, A Complete Guide on TensorFlow 2.0 using Keras API, as well as the course’s subtitle, Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0.

If the section names and lessons are clear, specific, and relevant, then it’s a good sign that ACGOT2UKA is potentially a good, useful course for you, and you can have more confidence in Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s teaching abilities and lesson planning.

On the other hand, if the module names are confusing, vague, or irrelevant, then this is a red flag, which might indicate that the program is worth skipping.

Have you taken some free lessons from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin that you enjoyed?

Have you already learned something from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin that you valued or enjoyed?

For example, does the A Complete Guide on TensorFlow 2.0 using Keras API training have some free lessons that you can try? (Almost all Udemy instructors will give you at least one or two lessons for free to help you make a better, more informed decision before enrolling in their course.)

But if you weren’t able to get any ACGOT2UKA lessons for free, have you perhaps watched a YouTube video by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, or perhaps come across this instructor’s thoughts on Quora, Facebook, LinkedIn, Github, Reddit, or some other platform?

Or have you perhaps even taken one of Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s free courses or free webinars? (Many online teachers offer these freebies, which is a great way to get to know them and evaluate their teaching methods before buying one of their courses.)

In any case, the more familiar you are with Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s teaching methods, and the more you enjoy them, the more likely it is that A Complete Guide on TensorFlow 2.0 using Keras API will be a good fit for you.

(P.S.: We strongly encourage you to seek out some free instruction from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin before purchasing this course, since it’s one of the best ways to determine whether ACGOT2UKA will be helpful for you.)

Are “A Complete Guide on TensorFlow 2.0 using Keras API” reviews generally positive?

On the bottom of the ACGOT2UKA page, you can read student reviews of the class.

Prior to October 03, 2022, there were 50,483 students enrolled, 1,437 reviews / ratings, and it was overall rated 4.3 out of 5.

Obviously, the more highly other students rate ACGOT2UKA the better, but no matter what, keep an open mind when reading the reviews, since you might still like a course a great deal that other students dislike.

After all, everyone’s got their own opinion.

We recommend that you spend only a couple minutes scanning the ACGOT2UKA reviews to get an overall sense of them. You don’t have to read each one!

Is Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin responsive to student questions in the ACGOT2UKA training?

You can see what other students have to say about this in their ACGOT2UKA reviews.

But, our simple all time favorite way of gauging an instructor’s responsiveness is to simply email the instructor and see if or how they respond.

In this case, Udemy has a messaging system for students / anyone who has an account, and you can send Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin a message through this system quite easily, even if you haven’t bought ACGOT2UKA yet.

For example, you could say, “Hi, and I came across ACGOT2UKA while looking at Development courses on Udemy. If I enroll in your training, would you mind if I asked you any questions along the way?”

If you use this approach, the response (or lack of response) from the professor will tell you everything.

Obviously, the quicker the response the better!

Are you comfortable going through the lessons in A Complete Guide on TensorFlow 2.0 using Keras API on your own, online?

This is a big one, because A Complete Guide on TensorFlow 2.0 using Keras API is an online course as opposed to a course that you physically take in a classroom.

Of course, you will need a good internet connection to have access to the course material and lessons, but beyond that, you also have to be comfortable being self motivated to some degree, being on your own, and not having any physical interaction with any of the other students taking A Complete Guide on TensorFlow 2.0 using Keras API.

Yes, you will be able to interact with the students and the teacher, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, online, but it’s a different kind of experience than what you’d get if you were interacting with them in person.

This is not a big deal to most people, but it might be something for you to consider if you feel like you do better taking classes in person rather than learning online.

Do the pros / benefits of ACGOT2UKA make it worth your time?

Ideally, if you’ve gone through the evaluation steps above, you have a list of positive things about the A Complete Guide on TensorFlow 2.0 using Keras API training that looks something like this:

  • The purpose of ACGOT2UKA can be clearly grasped and understood, and its lesson structure is clear, specific, and well organized
  • Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin is well qualified to teach this subject matter, has good teaching abilities, and is responsive to student questions
  • Other ACGOT2UKA students have great things to say about the program

Other benefits include:

  • You get to go through ACGOT2UKA at your own pace
  • You join a community of 50,483 other students taking the course
  • You get lifetime access to the training
  • All updates to the training are free
  • You have a 30 day money back guarantee

Even if there are some things that you don’t like about the program, so what?

The question is simply this: do you think that ACGOT2UKA would be worth your time, even if there are some things that could be better about it?

Can you comfortably afford ACGOT2UKA?

Can you comfortably afford the cost of A Complete Guide on TensorFlow 2.0 using Keras API?

This is an important question to answer, because even if you think ACGOT2UKA sounds like the greatest online class in the world, it’s still not worth taking if you can’t comfortably afford it!

Before October 03, 2022, the price was $12.99 before any Udemy discount, and you were able to pay with a credit card.

Keep in mind that this is a Udemy online course, and there’s a great chance that you can get a solid discount on ACGOT2UKA with Udemy coupons / promo codes, especially with the strategies we provide for helping you find the best, most popular coupons available.

We’ll cover that in greater detail in the next section, because at the end of the day, its important that you can learn whatever you want to learn without getting into a lot of credit card debt.

How can you maximize your discount on A Complete Guide on TensorFlow 2.0 using Keras API?

By far, the easiest way to get the best and biggest discount on this course is to use the A Complete Guide on TensorFlow 2.0 using Keras API discount code link at the top of this page.

It will instantly give you the best coupon code we could find for Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s online training.

We don’t believe there’s a bigger discount than the one we provided, but if for some reason you’d like to try find one, you can use the methods below to hunt for the best ACGOT2UKA course coupons and promo codes you can find.

FYI, the methods below will help you not just with getting ACGOT2UKA for a better price, but also with any other Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin Udemy course that you’d like to get for cheaper.

How can Google help you get a ACGOT2UKA discount?

To use this method, do a Google search for the ACGOT2UKA training, but in your search query, be sure to add words like coupon code, promo code, deal, sale, discount, and Udemy.

For example, you might do a search for “Udemy A Complete Guide on TensorFlow 2.0 using Keras API promo code” or “A Complete Guide on TensorFlow 2.0 using Keras API udemy coupon codes” and see what turns up.

Similarly, you can use the same combination of search terms with Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s name and see what happens.

For example, you might do a Google search for “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin Udemy coupons” or “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin course coupon codes” and see if that helps you.

However, in general, it’s far more powerful to do a search for deals and coupon codes with the actual training’s name, than with the instructor’s name.

So in this case, for example, prioritize searches for “A Complete Guide on TensorFlow 2.0 using Keras API coupons” rather than “Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin coupons”.

How can a Udemy sale get you ACGOT2UKA for cheaper?

Every once in while, Udemy will do a sitewide sale where they offer all (or almost all) their courses at a discounted price. For example, one of the best sales is where every course is only $10 or $9.99.

So, if you’re interested in saving as much money as possible, you could wait and see if you can get ACGOT2UKA for this cheaper Udemy sale price one day.

The problem is that these sales only occur sporadically, so you might be waiting for a while. Also, if Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin decides not to participate in the site wide sale, then you won’t get a discount on ACGOT2UKA, even though you could get a great discount on almost any other class at Udemy!

To understand this, think of there as being two different coupon categories for the ACGOT2UKA course. Category one is an official Udemy coupon (which instructors can opt out of), while category two is a coupon offered directly by the instructor.

At the end of the day, it doesn’t matter what kind of a coupon tag you’re dealing with (for example, “officially from Udemy” or “officially from the instructor”), as long as long as as you’re dealing with active coupons that get you a better price.

How can you get a ACGOT2UKA discount from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin?

If you’re really serious about getting “A Complete Guide on TensorFlow 2.0 using Keras API” for the cheapest price possible, then perhaps one of the most powerful things you can do is get a coupon code straight from Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, instead of waiting for a Udemy sale.

To do this, you can use either the direct approach or an indirect approach to try to get your discount.

With the direct approach, the big idea is to simply get Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s contact info in some way or another (whether it’s email, or Twitter, or whatever else).

Then you send a message saying something like “I’m interested in enrolling in A Complete Guide on TensorFlow 2.0 using Keras API. Do you happen to currently have an active coupon code for it that I could use?” (And then, hopefully, you’ll get a reply with your discount code.)

On the other hand, with the indirect approach, you join Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s mailing list, if you can find it, and then you hope that at some time ACGOT2UKA will be promoted to you at a discount.

By far, the more powerful approach is the direct approach, because it tends to get results faster. But you can experiment with the indirect approach and see if it works for you.

Can you get ACGOT2UKA for free?

Of course, the best possible price for the ACGOT2UKA training is free! As in, you pay no money whatsoever.

And guess what? Sometimes Udemy instructors provide coupon codes that enable students to take their courses for free. So, perhaps it’s possible that Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin has done this.

Basically, if you’re trying to get this program for free, you will want to search for the course’s name along with other words like free coupon, or 100 off coupon.

For example, you might do a google search for “A Complete Guide on TensorFlow 2.0 using Keras API free coupon” or “A Complete Guide on TensorFlow 2.0 using Keras API 100 off coupon” and see what happens.

But keep this in mind: often, Udemy teachers will offer a free coupon for their course when it first opens to get some publicity and reviews. And then, after a few days, they’ll make the coupon expired.

So even Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin has offered free coupons for ACGOT2UKA in the past, the odds are likely they will all be currently expired. This is a common pattern that we have found.

What about a ACGOT2UKA free download?

It’s important to understand that there’s a difference between getting full access to the ACGOT2UKA training for free legally with a free coupon code vs. finding a way to download ACGOT2UKA illegally.

If you really want to go the download route, you can do a google search for something like “A Complete Guide on TensorFlow 2.0 using Keras API download”.

And if that doesn’t get you the results you want, you can add the word “free” to your search.

For example, perhaps you could do a google search for “A Complete Guide on TensorFlow 2.0 using Keras API free download”.

However, even if you get some results from these searches, we do not recommend that you take this course of action.

First of all, there are some shady sites out there that could be trying to infect your computer.

Second, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin created this course and deserves monetary compensation for it.

And third, if you go the free download route, you’ll be missing out on a lot of value, because you won’t be able to ask the instructor questions or interact with the other 50,483 students enrolled in the program.

Can you get a refund on A Complete Guide on TensorFlow 2.0 using Keras API if you don’t like it?

Let’s say that you used our tips above, and you were able to buy the ACGOT2UKA training at a fantastic discounted price. So at this point, you’re super excited.

Then, you actually dive into Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin’s course, and you discover that it just isn’t for you for whatever reason.

And now you’re super bummed, because you feel like it wasn’t money well spent.

Well, guess what?

Udemy offers a rock solid 30 day money back guarantee on all their courses, so you can get a refund on ACGOT2UKA no matter what. And this means there is absolutely no risk.

Indeed, even if you left a super negative, critical review on the ACGOT2UKA training, and then asked for your money back, you’d get a refund. For better or worse, there’s nothing Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin could do about it, since it is simply Udemy policy.

To sum it up: yes, you can get a full refund, so at the end of the day, don’t worry about the possibility of purchasing ACGOT2UKA and not liking it, since you can always get your money back.

What is OCP’s overall rating of A Complete Guide on TensorFlow 2.0 using Keras API?

During this ACGOT2UKA review, you’ve learned about some of the unusual ways we like to evaluate courses, such as with The 30 Second Test and The 15 Second Bio Test.

So our overall review process is perhaps a little unusual and different from other reviews out there. Keep this in mind when you consider the overall rating / score that we have given this course.

Anyway, after taking a look at the ACGOT2UKA training, the instructor, Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin, and reading what other students have said about this program, we give it an overall rating of 4.6 out of 5.

Ultimately, though, what matters most is what you would rate it based on the same criteria.

What are some potential alternatives to A Complete Guide on TensorFlow 2.0 using Keras API?

If you like this course, you might also be interested in:


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5. The Complete Google Ads Masterclass (Former Google AdWords)

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TLDR: Just the quick facts about ACGOT2UKA

Okay, if all of this was Too Long Didn’t Read for you, here is the Cliff’s Notes version of what ACGOT2UKA’s online training is all about:

ACGOT2UKA coupon & course info

Course Name: A Complete Guide on TensorFlow 2.0 using Keras API

Subtitle: Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0

Instructor: Taught by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin

Category: Development

Subcategory: Data Science

Provided by: Udemy

Price: $12.99 (before discount)

Free coupon code: Get Udemy coupon code discount at top of page (no charge for coupon, especially since we are compensated for referrals via affiliate marketing)

ACGOT2UKA review info & popularity

Prior to October 03, 2022…

Students: 50,483 students enrolled

Ratings: 1,437 reviews

Rank: ranked #764 in Udemy Development Courses

Rankings tip: rankings change all the time, so even if A Complete Guide on TensorFlow 2.0 using Keras API is a bestseller or one of the top Udemy courses one year, it doesn’t mean it will be a top Udemy course the next year

ACGOT2UKA final details

Languages: English

Skill level: Beginner

Lectures: 133 lectures lectures lessons

Duration: 13 total hours hours of video

What you get: How to use Tensorflow 2.0 in Data Science

Target audience: Deep Learning Engineers who want to learn Tensorflow 2.0

Requirements: Some maths basics like knowing what is a differentiation or a gradient

Access: Lifetime access

Peace of mind: 30 day money back guarantee

Availability: available online, as well as on iOS and Android

Download options: check course to see if you can download lessons