This course teaches you how to successfully install OpenCV on macOS from scratch, even if you are a complete beginner. OpenCV (Open Source Computer Vision Library) is one of the most powerful tools used in computer vision, image processing, and AI applications. However, setting it up on macOS can sometimes be confusing due to dependency and environment issues.

In this guide, you will learn how to prepare your macOS system for OpenCV installation, including installing Homebrew, Python, and pip if they are not already available. You will also learn how to create a clean virtual environment to avoid conflicts with existing packages.

Next, the course walks you through installing OpenCV using pip and verifying that the installation works correctly. You will run simple Python scripts to test image loading, display, and basic functionality to ensure everything is working properly.

By the end of this course, you will have a fully working OpenCV environment on your macOS system, ready for building computer vision projects such as face detection, object tracking, and image recognition.

This setup is essential for anyone starting in AI, machine