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Coupon & course info

Course Name: Learn Python Face Detection

Subtitle: Learn the basics of Python programming, and learn how to program a face-recognition application using Python.

Instructor: Taught by Jason Cromer, Computer Science Student

Category: Development

Subcategory: Software Engineering

Provided by: Udemy

Price: $29 (before discount)

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

Review info & popularity

As of March 4, 2016…

Students: 2512 students enrolled

Ratings: 19 reviews

Rank: ranked #498 in Udemy Development Courses

Brief course description

This course covers the fundamentals of Python programming, as well as an introduction to using image-processing techniques to identify a human face in live video recordings. It will be taught by myself through my desktop, and I will be coding from scratch, and step by step to insure that no ambiguity is present.

This course will start out with a brief overview of Python basics such as variables, for and while loops, boolean statements, functions and more. After becoming familiar with Python, we will dive into some image-processing concepts and start on our Python script to detect human faces!

This course is intended for anyone who wants to quickly pick up Python and start working on an interesting, applicable project instead of drudging along a twenty-hour tutorial. My videos are short, hands-on, interactive and engaging, so you’ll come out happy and enthusiastic with a large amount of gained knowledge.

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

Jason Cromer bio

Hello,

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

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Final details for this Udemy course

Languages: English

Skill level: Beginner Level

Lectures: 15 lessons

Duration: 2.5 Hours of video

What you get: Program basic Python applications

Target audience: Anyone interested in high-level programming

Requirements: You will need a computer with a webcam

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