The Right Path to Computer Vision Expertise?

I'm sure you've been following a course somewhere telling you that you'd become an expert in Computer Vision. And the most advanced thing you've done is detecting obstacles in 2D.

And maybe at some point, you wondered: Is that all we can do?

What about the cutting-edge things I see on LinkedIn? What about the modern Deep Learning architectures? What about 3D Vision? What about Prediction and Video Analysis?

Well, I've designed the 3 courses that will take your skills from 2D Object Detection, to real mastery.

Course 1 - Image Segmentation

Start by taking your Deep Learning skills to the next level. Learn about modern architectures and approaches to classify each pixel of an image.

Course 2 - Stereo Vision

In this course, you'll learn how to build Pseudo-LiDARs and 3D Computer Vision systems that find the 3D positions of obstacles.

Course 3 - Master Optical Flow

In this course, you'll learn to build Flow Maps, analyze pixel motions across several frames, and process Videos using Deep Learning.