7 Best Udemy Courses to Learn Computer Vision with Generative AI in 2025
My favorite Udemy courses to learn Computer Vision and OpenCV in 2025
Hello guys, if you want to learn Computer Vision and OpenCV along with Generative AI and other popular Python libraries like PyTorch and TensorFlow then you have come to the right place.
Earlier, I have shared best AI courses, best ChatGPT courses, best Data Science courses and best Machine Learning courses and in this article, I am going to share best Udemy courses to learn Computer Vision and OpenCV in 2025.
The fields of Computer Vision and AI-powered Image Generation have witnessed a dramatic transformation in recent years.
What once required expert-level knowledge in machine learning and massive computing resources can now be learned — and even implemented — using beginner-friendly frameworks and open-source tools like OpenCV, TensorFlow, Keras, PyTorch, and Stable Diffusion.
That’s why it’s important to learn Computer Vision.
If you’re aiming to enter the world of AI-powered image generation, facial recognition, object detection, or even build your own generative art tools, offers some of the most affordable and accessible courses to get you started.
By the way, before you jump into OpenCV and Computer Vision, I also suggest you to learn basic concepts of Machine Learning and Deep Learning, and if you need a resource, there is no better course then by Kirill Eremenko and SuperDataScience team on Udemy.
7 Best Udemy Courses to learn Computer Vision and Generative AI in 2025
Here are 7 top-rated Udemy courses that will help you master Computer Vision and Generative AI, even if you’re starting from scratch.
1.
Students: 5,466
Instructors: Lazy Programmer Inc.
This is one of the most comprehensive and up-to-date courses focused on the intersection of Computer Vision and Generative AI. You’ll work with KerasCV, TensorFlow, PyTorch, JAX, and even popular tools like Stable Diffusion.
Whether it’s image classification, object detection, or AI image generation, this course equips you with hands-on projects and cutting-edge techniques that reflect real-world applications.
✅ Best for: Learners who want to understand both the traditional and generative sides of computer vision.
Here is the link to join this course —
2.
Students: 2,981
Instructor: Kishan Naik, Monal Kumar, and Souranghsu Pal
This is a modern bootcamp that focuses on teaching CNNs, object detection, and deep learning using two of the most in-demand frameworks: PyTorch and TensorFlow.
It’s ideal if you’re aiming for mastery in real-world object detection problems, such as vehicle detection, face detection, and pose estimation. Projects are built from scratch, helping you get job-ready.
✅ Best for: Developers who want to build a solid portfolio with modern frameworks.
Here is the link to join this course —
3.
Students: 69,546
Instructor: Jose Portilla
A true classic and one of the most beginner-friendly courses available, this one focuses on Python and OpenCV, making it an excellent entry point. You’ll learn how to work with image data, perform transformations, use real-time object tracking, and even touch upon deep learning concepts.
If you’re just getting started with computer vision and want to avoid a steep learning curve, this is the course to take.
✅ Best for: Beginners in computer vision and Python.
Here is the link to join this course —
4. (Udemy)
Students: 35,282
Instructor: Jones Granatyr and SuperDataScience Team
This course takes a project-based approach to learning computer vision. You’ll go step-by-step in building multiple practical applications such as image filters, face recognition tools, and more — all using Python.
It’s perfect for learners who want to focus on real-world outcomes and build a project portfolio while mastering foundational techniques.
✅ Best for: Hands-on learners who want project experience.
Here is the link to join this course —
5.
Students: 44,540
Instructor: Lazy Programmer Inc.
If you already have the basics down and want to dive into advanced models, this course is for you. It covers powerful techniques like:
- ResNet, Inception, and VGG
- Object detection with SSD and RetinaNet
- Generative models like GANs and Neural Style Transfer
The course blends both theory and implementation in TensorFlow and Keras, making it suitable for learners looking to level up their skills.
✅ Best for: Intermediate to advanced learners exploring cutting-edge computer vision models.
Here is the link to join this course —
6. (Udemy)
Students: 14,173
Instructor: Rajeev D. Ratan
This is one of the most future-ready courses for those looking to explore recent advancements in computer vision. It includes topics like:
- YOLOv8
- DINO-GPT4-Vision
- OpenCV4 and Face Recognition
- Diffusion Models and Transformers
It not only covers modern vision tasks but also integrates AI generation techniques, giving you a strong understanding of the tools shaping the next generation of intelligent systems.
✅ Best for: Learners who want to stay ahead with the latest in AI and computer vision.
Here is the link to join this course —
7. (Udemy)
Students: 34,939
Instructor: Andrei Negaoie and Daniel Bourke
While this course is broader in scope, it’s an excellent resource if you’re aiming to build a deep learning foundation with PyTorch — one of the most widely used libraries in computer vision.
You’ll cover everything from neural networks to transfer learning, and the course includes plenty of exercises and assignments to reinforce concepts.
✅ Best for: Deep learning beginners looking to specialize in PyTorch before jumping into computer vision.
Here is the link to join this course —
Btw, if you like Andrei’s courses then you can also join his where you can get all his course for just one subscription. It cost around $39 per month but definitely worth it. You can also use coupon code FRIENDS10 to get 10% discount now.
Final Thoughts
That’s all about the best Udemy courses you can join to learn Computer Vision with Gen AI in 2025. Whether you’re just getting started or want to advance your computer vision expertise, these 7 Udemy courses provide everything you need — framework-specific training, hands-on projects, and exposure to cutting-edge techniques in AI and image generation.
If you’re interested in areas like Generative AI, Stable Diffusion, YOLO, or GANs, now is the best time to invest in yourself and begin learning.
By the way, if you want to join multiple course on Udemy, its may be worth getting a , which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month. If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.
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Thanks a lot for reading this article so far, if you like these books then please share with your friends and colleagues. If you have any feedback or questions then please drop a note.
P.S. You can also join a course like to get some hands-on experience on building RAG based chatbot and learning LLM by watching. Don’t wait for your company to start using AI. Learn now, lead later.
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