5 Best Udemy Courses to Learn Computer Vision and OpenCV in 2025
These are the best Computer Vision courses you can take on Udemy in 2025 to learn and master Computer Vision and OpenCV with AI
Hello guys, If you are thinking to become an ML Engineer or AI Engineer then you may have come across Computer Vision and AI, two of the most visible fields of Machine Learning.
Yes, Computer vision is one of the most exciting fields in artificial intelligence and machine learning. It powers technologies such as facial recognition, autonomous vehicles, medical imaging, augmented reality, and much more.
With the increasing demand for AI-driven solutions, mastering computer vision can open up numerous career opportunities in industries like healthcare, retail, security, robotics, and software development.
If you’re looking to gain hands-on experience and in-depth knowledge of computer vision, 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 libraries in 2025.
When it comes to learning tech skills, Udemy is my go to place because Udemy offers most affordable and best online courses to get you started with OpenCV and Computer Vision.
These courses cover everything from fundamental concepts to advanced deep learning techniques using OpenCV, TensorFlow, and PyTorch. So what are we waiting for, let’s jump right into best Udemy courses to learn computer vision and OpenCV in 2025 and build expertise in this rapidly evolving field.
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.
Top 5 Udemy Courses to Learn Computer Vision in 2025
Without any further ado, here are the best Udemy courses you can join to learn Computer Vision or OpenCV in 2025. These are hands-on courses where you will not just learn theory but also quizzes and exercises to master the Computer Vision concepts better.
1.
This course is one of the best introductions to computer vision and OpenCV, the most widely used open-source library for image processing.
Whether you are a beginner or an experienced developer, this course teaches you how to apply OpenCV for real-world computer vision applications. It also covers deep learning models for object detection and image classification using TensorFlow and Keras.
Instructor: Jose Portilla
Level: Beginner to Intermediate
Students Enrolled: 50,000+
Here are things you will learn in this course:
- Image processing techniques using OpenCV
- Feature detection, edge detection, and object tracking
- Face detection and recognition using Haar cascades and deep learning models
- Working with convolutional neural networks (CNNs) for image classification
- Real-world projects like building an AI-powered motion detector
Here is the link to join this course —
2.
This is another Udemy course you can join to take a deep dive into computer vision with deep learning techniques.
It covers state-of-the-art neural networks, including Single Shot MultiBox Detector (SSD) for object detection and Generative Adversarial Networks (GANs) for image generation.
If you want to master cutting-edge techniques used in self-driving cars, security systems, and healthcare AI, this course is a perfect choice.
Instructor: Hadelin de Ponteves, Kirill Eremenko
Level: Intermediate
Students Enrolled: 35,000+
Here are key topics you will learn in this course:
- OpenCV for image processing and feature detection
- Implementing SSD for real-time object detection
- Using GANs for creating synthetic images
- Face recognition and emotion detection with deep learning
- Hands-on projects like AI-powered object tracking
Here is the link to join this course —
3.
This Udemy Computer Vision course is ideal for those who already have some experience with Python and want to build computer vision projects using deep learning frameworks like PyTorch and TensorFlow.
It covers both theoretical and practical aspects of computer vision, making it a great choice for software engineers and data scientists.
Instructor: Rajeev Ratan
Level: Intermediate to Advanced
Students Enrolled: 20,000+
Here are things you will learn in this course:
- Image classification and object detection using deep learning
- Using PyTorch and TensorFlow for image recognition
- Implementing YOLO (You Only Look Once) for real-time object detection
- Transfer learning for improving image recognition accuracy
- AI-powered applications such as self-driving car vision systems
Here is the link to join this course —
4.
If you’re new to computer vision and want a practical introduction, this course provides a hands-on approach to image processing.
It focuses on using KerasCV and Python to manipulate images and videos, making it an excellent choice for beginners who want to build real-world projects using Generative AI.
Instructor: Lazy Programmer
Level: Beginner
Students Enrolled: 4,774 students
Here are things you will learn in this course —
- Basics of image processing with OpenCV
- Face detection, edge detection, and contour detection
- Computer vision with KerasCV
- How to do object detection with a pretrained model and fine-tuning / transfer learning
- How to generate images with Stable Diffusion in KerasCV
Here is the link to join this course —
5.
For those who already understand the basics and want to explore advanced topics, this course offers in-depth knowledge of computer vision applications.
It focuses on deep learning-based vision models and how to deploy them in real-world applications.
Instructor: Jones Granatyr
Level: Intermediate
Students Enrolled: 34,878+
What You Will Learn:
- Implementing deep neural networks for image recognition
- Object tracking using OpenCV and TensorFlow
- Semantic segmentation for scene understanding
- Deploying AI models for real-world applications
- Advanced AI-powered projects like medical image analysis and drone vision
Here is the link to join this course —
Conclusion
That’s all about the best Udemy courses to learn Computer Vision and OpenCV in 2025. Computer vision is a game-changing field in artificial intelligence with applications across various industries.
Whether you want to develop AI-powered security systems, work on self-driving cars, or enhance medical imaging, learning computer vision can boost your career opportunities.
- If you’re a beginner, start with, which covers the basics in a structured manner.
- If you’re looking for deep learning-based vision models, and are excellent choices.
- If you’re interested in practical projects, “ provides hands-on experience.
- For advanced learners, “” covers cutting-edge AI techniques and real-world applications.
By taking these courses, you can build strong expertise in computer vision and AI, preparing yourself for roles in software engineering, data science, robotics, and AI research.
Happy learning!
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Thanks for reading this article so far. If you like these best Udemy courses to learn OpenCV and Computer Vision, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. — If you want to learn Deep Learning better then you can also join course on Udemy course. It’s one of the best online course to learn Deep Learning and Neural Network which is very important for mastering Computer Vision and OpenCV also.
