Best Resources to Learn Computer Vision (YouTube, Tutorials, Courses, Books, etc)- 2025

Do you want to learn Computer Vision and looking for the best resources to learn Computer Vision?… If yes, you are in the right place. In this article, I have listed all the best resources to learn Computer Vision including Online Courses, Tutorials, Books, and YouTube Videos.

So, give your few minutes and find out the best resources to learn Computer Vision. You can bookmark this article so that you can refer to this article later.

Now without further ado, let’s get started-

Best Resources to Learn Computer Vision

For your convenience, I have created separate tables for each resource. So let’s start with online courses-

Note- If you are reading this article on Mobile, Please slide left for Full Table.

Online Courses

S/N	Course Name	Rating	Time to Complete
1.	Introduction to Computer Vision– Udacity (Free Course)	NA	4 Months
2.	Computer Vision Basics– Coursera	4.2/5	13 hours
3.	Intel® Edge AI Fundamentals with OpenVINO™– Udacity(Free Course)	NA	1 Month
4.	Advanced Computer Vision with TensorFlow– Coursera	4.8/5	29 hours
5.	Computer Vision– Kaggle	NA	4 hours
6.	Introduction to Computer Vision and Image Processing– Coursera	4.4/5	21 hours
7.	Computer Vision with OpenCV Python | Official OpenCV Course– Udemy	4.9/5	1hr 59min
8.	Convolutional Neural Networks– deeplearning.ai	4.9/5	20 hours
9.	Become a Computer Vision Expert– Udacity	4.7/5	3 months (If you spend 10-15 hours/week)
10.	Self-Driving Cars Specialization– University of Toronto	4.7/5	7 months (If you spend 5 hours/week)
11.	Introduction to Computer Vision with Watson and OpenCV– IBM	4.4/5	15 hours
12.	AWS Computer Vision: Getting Started with GluonCV– AWS	4.6/5	29 hours
13.	Python for Computer Vision with OpenCV and Deep Learning– Udemy	4.6/5	14 hours
14.	Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs– Udemy	4.5/5	11 hours
15.	Image Understanding with TensorFlow on GCP– Google Cloud Training	4.6/5	12 hours
16.	Python Project: pillow, tesseract, and OpenCV– University of Michigan	4.0/5	20 hours

Books

S/N	Book Name	Author	Buy/Download
1.	Computer Vision: Algorithms and Applications	Richard Szeliski	1. Buy on Amazon 2. Download Ebook
2.	Practical Machine Learning for Computer Vision	Valliappa Lakshmanan, Martin Görner, Ryan Gillard	1. Buy on Amazon
3.	Modern Computer Vision with PyTorch	V Kishore Ayyadevara, Yeshwanth Reddy	1. Buy on Amazon
4.	Deep Learning for Vision Systems	Mohamed Elgendy	1. Buy on Amazon 2. Download Ebook
5.	Pattern Recognition and Machine Learning	Christopher M. Bishop	1. Buy on Amazon 2. Download Ebook
6.	Computer Vision: Principles, Algorithms, Applications, Learning	E. R. Davies	1. Buy on Amazon
7.	Learning OpenCV 4 Computer Vision with Python 3	Joseph Howse, Joe Minichino	1. Buy on Amazon 2. Download Ebook
8.	Computer Vision: Algorithms and Applications	Richard Szeliski	1. Buy on Amazon 2. Download Ebook
9.	TensorFlow 2.0 Computer Vision Cookbook	Jesús Martinez	1. Buy on Amazon

Tutorials

S/N	Tutorial Name	Provider
1.	Computer Vision	Kaggle
2.	AI with Python – Computer Vision	TutorialsPoint
3.	Computer Vision, Deep Learning, and OpenCV	pyimagesearch
4.	Computer Vision for Beginners: Part 1	Medium
5.	Computer Vision Tutorial for Beginners	Intellipaat
6.	Learn Computer Vision	ProjectPro
7.	Python Computer Vision Tutorials	RealPython
8.	A Gentle Introduction to Computer Vision	MachineLearningMastery
9.	What is Computer Vision?	MyGreatLearning
10.	OpenCV Tutorials	OpenCV

YouTube Videos

S/N	Tutorial Name	Channel Name
1.	OpenCV Course – Full Tutorial with Python	freeCodeCamp.org
2.	Introduction to Computer Vision	Intellipaat
3.	LEARN OPENCV in 3 HOURS with Python	Murtaza’s Workshop – Robotics and AI
4.	Advanced Computer Vision with Python – Full Course	freeCodeCamp.org
5.	Introduction to Computer Vision	The Coding Train
6.	Computer Vision Tutorial	Great Learning
7.	Computer Vision Tutorial	Krish Naik
8.	Computer Vision Explained for Beginners	AI Sciences
9.	TensorFlow for Computer Vision Course	freeCodeCamp.org
10.	OpenCV Python for Beginners	programming knowledge

And here the list ends. I hope these resources will help you to learn and master Computer Vision. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover all the best resources to learn Computer Vision from online courses to YouTube videos. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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