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Computer Vision Lite

You, are almost there, please fill in the relevant details and then get really excited to embark on your AI Computer Vision PRO Journey!

What you'll get:


✔ [Course 1] OpenCV Python Course

✔ [Course 2] YOLOv4 Lite

✔ [Course 3] YOLOv3 Course

✔ [Course 4] OpenPose Lite - Pose Estimation

✔ [Course 5] Mask RCNN Lite

✔ [Course 6] Neural Networks Lite

✔ [Course 7] Face Recognition GUI 

✔ [Course 8] YOLOv5 Chess Piece Detection 


This is perfect for you if:

  • Have been stuck in AI and deep learning and seeing little to no change.
  • Want a high paying job in Computer Vision and earn over $116k per year?
  • Want a distinct edge over your colleagues or competitors. 
  • Are TIRED of wasting time on StackOverflow and with endless debugging.
  • Want a shortcut to learning AI-CV in computer vision and become an expert AI developer.
  • Don't have a lot of time to spend days/weeks debugging your app.
  • Want a fast and easy approach to learning AI-CV and reduce your time to market.



What People Are Saying:

This was an amazing course! Ritesh is pleasure to listen to. It's a great course to learn how Computer Vision can be applied for various applications to solve real-world problems. Because of this course I've been able to learn some complex subjects that have challenged me for a long time.

Caron - LinkedIn Datascience Specialist

“Amazing Course! Explained the difficult concepts, very well. Also I'm so glad I found your courses on YOLOv4 and OpenCV Ai Kit, it saved me a lot of time. Thank you!”

Farzad - (Facebook Research Engineer)

Thank you Ritesh for teaching in an easy an understandable way. Got me up and running siam mask quicker than if I'd tried on my own!! Wonder if we can fuse siammask with yolov4

Aniket - (Computer Vision Specialist Google)

The lecturers to be very competent and they explained all the concepts really well. Im grateful to have this course. Learnt a lot and got a basic understanding of Yolov4 and Yolov5, Siamese networks and how object tracking can also be used with masked object detections. Thank you!

Garçon - (Ex-Apple AI Engineer)