95% off Introduction to Computer Vision | Master OpenCV in Python (Coupon)

Introduction to Computer Vision | Master OpenCV in Python - Udemy Coupon

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Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Introduction to Computer Vision | Master OpenCV in Python

Subtitle: Build 12 Python apps: such as Augmented Reality Face Filters (Snapchat/MSQRD), Face Recognition & car/people detection!

Instructor: Taught by Rajeev Ratan, Computer Vision Expert, Data Scientist & Electrical Engineer

Category: Development

Subcategory: Programming Languages

Provided by: Udemy

Price: $195 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of January 2, 2017…

Students: 1122 students enrolled

Ratings: 105 reviews

Rank: ranked #139f in Udemy Development Courses

Brief course description

What previous students have said:

“Extremely well taught and informative Computer Vision course! I’ve trawled the web looking for Opencv python tutorials resources but this course was by far the best amalgamation of relevant lessons and projects. Loved some of the projects and had lots of fun tinkering them.”

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

Rajeev Ratan bio

Hi I’m Rajeev and I love Data Science and Computer Vision.

(Learn more about this instructor on the official course page.)

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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 65 lessons

Duration: 6.5 hours of video

What you get: Build complex computer vision applications using the latest techniques in OpenCV

Target audience: Beginners who have an interest in computer vision

Requirements: Basic Python is a plus, but no programming knowledge is needed! I’ll be showing 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 Introduction to Computer Vision | Master OpenCV 3 in Python (Coupon)

Introduction to Computer Vision | Master OpenCV 3 in Python - Udemy Coupon

Get Discount


Bonus: download a free guide that reveals 11 tricks for getting the biggest discounts on Udemy courses, including this course.

Coupon & course info

Course Name: Introduction to Computer Vision | Master OpenCV 3 in Python

Subtitle: Build 12 Python apps: such as Augmented Reality Face Filters (Snapchat/MSQRD), Face Recognition & car/people detection!

Instructor: Taught by Rajeev Ratan, Computer Vision Expert, Data Scientist & Electrical Engineer

Category: Development

Subcategory: Skills

Provided by: Udemy

Price: $200 (before discount)

Free coupon code: See above (no charge for coupon)

Review info & popularity

As of April 29, 2017…

Students: 2925 students enrolled

Ratings: 361 reviews

Rank: ranked #33g in Udemy Development Courses

Brief course description

What previous students have said:

Extremely well taught and informative Computer Vision course! I’ve trawled the web looking for Opencv python tutorials resources but this course was by far the best amalgamation of relevant lessons and projects. Loved some of the projects and had lots of fun tinkering them.

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

Rajeev Ratan bio

Hi I’m Rajeev and I love Data Science and Computer Vision.

(Learn more about this instructor on the official course page.)

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


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Final details for this Udemy course

Languages: English

Skill level: All Levels

Lectures: 65 lessons

Duration: 6.5 hours of video

What you get: Build complex computer vision applications using the latest techniques in OpenCV

Target audience: Beginners who have an interest in computer vision

Requirements: Basic Python is a plus, but no programming knowledge is needed! I’ll be showing 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