Dive into a series of rapid-fire tutorials covering essential computer vision techniques using TensorFlow, OpenCV Python, and MediaPipe libraries. Master face detection, pose estimation, hand tracking, face landmark detection, and object detection with YOLOv4, all at impressive frame rates. Explore how to create a user interface for computer vision applications using StreamLit, and learn to implement background removal effects similar to those used in video conferencing software. These concise, practical lessons are designed to quickly equip you with the skills to build basic yet powerful computer vision applications.