Udemy

Deep Learning and Computer Vision A-Z + Prizes

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  • 51,009 Students
  • Updated 9/2025
4.4
(6,819 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
11 Hour(s) 5 Minute(s)
Language
English
Taught by
Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Ligency ​
Rating
4.4
(6,819 Ratings)

Course Overview

Deep Learning and Computer Vision A-Z + Prizes

Become a Wizard of all the latest Computer Vision tools that exist out there. Detect anything and create powerful apps.

You've definitely heard of AI and Deep Learning. But when you ask yourself, what is my position with respect to this new industrial revolution, that might lead you to another fundamental question: am I a consumer or a creator? For most people nowadays, the answer would be, a consumer.

But what if you could also become a creator?

What if there was a way for you to easily break into the World of Artificial Intelligence and build amazing applications which leverage the latest technology to make the World a better place?

Sounds too good to be true, doesn't it?

But there actually is a way..

Computer Vision is by far the easiest way of becoming a creator.

And it's not only the easiest way, it's also the branch of AI where there is the most to create.

Why? You'll ask.

That's because Computer Vision is applied everywhere. From health to retail to entertainment - the list goes on. Computer Vision is already a $18 Billion market and is growing exponentially.

Just think of tumor detection in patient MRI brain scans. How many more lives are saved every day simply because a computer can analyze 10,000x more images than a human?

And what if you find an industry where Computer Vision is not yet applied? Then all the better! That means there's a business opportunity which you can take advantage of.

So now that raises the question: how do you break into the World of Computer Vision?

Up until now, computer vision has for the most part been a maze. A growing maze.

As the number of codes, libraries and tools in CV grows, it becomes harder and harder to not get lost.

On top of that, not only do you need to know how to use it - you also need to know how it works to maximise the advantage of using Computer Vision.

To this problem we want to bring... 

Computer Vision A-Z.

With this new course you will not only learn how the most popular computer vision methods work, but you will also learn to apply them in practice!

Can't wait to see you inside the class,

Kirill & Hadelin

Course Content

  • 10 section(s)
  • 85 lecture(s)
  • Section 1 Introduction
  • Section 2 Module 1 - Face Detection Intuition
  • Section 3 Module 1 - Face Detection with OpenCV
  • Section 4 Homework Challenge - Build a Happiness Detector
  • Section 5 Module 2 - Object Detection Intuition
  • Section 6 Module 2 - Object Detection with SSD
  • Section 7 Homework Challenge - Detect Epic Horses galloping in Monument Valley
  • Section 8 Module 3 - Generative Adversarial Networks (GANs) Intuition
  • Section 9 Module 3 - Image Creation with GANs
  • Section 10 Annex 1: Artificial Neural Networks

What You’ll Learn

  • Have a toolbox of the most powerful Computer Vision models
  • Understand the theory behind Computer Vision
  • Master OpenCV
  • Master Object Detection
  • Master Facial Recognition
  • Create powerful Computer Vision applications


Reviews

  • J
    Jayshree Yadav
    5.0

    Good

  • C
    Carlos Rodriguez
    4.0

    Just getting stgarted

  • i
    ishan chaturvedi
    5.0

    aamzing

  • S
    Selvakumar Panneerselvam
    4.5

    * Greate practical course, *Course that's strong theory *

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