New Udemy Course: Computer Vision with OpenCV, Machine Learning and YOLO

I have published my new English-language course on Udemy: Computer Vision: OpenCV, Machine Learning and YOLO.

The course takes you from working with image arrays to building Python applications that detect, track and count objects in images and video. It combines theory with separate practical lessons, so you can see the inputs, follow the code and inspect the results.

What you will learn

• Python, NumPy and OpenCV: image representation, color channels, transformations, filtering and edge detection.
• Machine learning: feature extraction, classification, model comparison and evaluation with scikit-learn.
• Deep learning and CNNs: neural network foundations, convolution, pooling, image classification and transfer learning with TensorFlow and PyTorch.
• YOLO: object detection, custom training, object tracking, segmentation and image classification.
• Pose estimation and deployment: body keypoints, movement features, model export, CPU performance measurements and comparisons with alternative detectors.

Four projects that bring the ideas together

• Parking Lot Monitor: work with parking-space regions and occupancy information.
• Traffic Counter: detect and track vehicles, then count crossings of a defined line.
• Fitness Tracker: use pose keypoints and movement states to count squat repetitions.
• Document Scanner: find document boundaries and correct perspective.

These are learning projects that make the connection between model outputs and application logic visible.

Video lessons, notebooks and knowledge checks

The course includes more than 10 hours of English video, downloadable notebooks and lesson resources, and 12 section quizzes with 36 questions. Practical lessons include setup and dependency instructions to help you run the examples locally.

It is aimed at developers, students and engineers who want to move from computer vision concepts to working Python examples. Some programming experience is helpful; the opening sections review Python and NumPy foundations.

Launch offer: US$12.99

Coupon code: CBEE0F25D4870B5F9123

Open the course with the US$12.99 coupon

The coupon is valid until 27 November 2026 at 06:20 UTC (26 November, 22:20 PST). Check that the coupon is applied and review the final price shown by Udemy before purchasing.

You can also use my standard Udemy course link to view the course and its curriculum. This separate link does not include the coupon code.

I would be glad to hear which computer vision applications you would like to build.