The Image Processing and Computer Vision world is too big to comprehend.  It has been backbone of many industry including Deep Learning. It is used across multiple places. As practitioner, I am trying to bring many relevant topics  under one umbrella in following topics.   

1. Image Processing with Python (skimage) (90% hands on and 10% theory)

2. Image Processing and Computer Vision with OpenCV (90% hands on and 10% theory)

3. Morphological operations with OpenCV (90% hands on and 10% theory)

4. Face detection with OpenCV (90% hands on and 10% theory)

5. Feature detection with OpenCV (90% hands on and 10% theory)

6. Image matching with skimage (90% hands on and 10% theory)

7. Object detection with OpenCV (90% hands on and 10% theory)

8. Digit recognition with OpenCV (90% hands on and 10% theory)

9. Autonomous vechile detection and movement. (90% hands on and 10% theory)

10. Deep learning concepts useful for Image Processing and Computer Vision. (90% hands on and 10% theory)

11. Python practice from Data Science point of view. (90% hands on and 10% theory)

12. The assignment will make you hands-on in Image Processing and Computer Vision.

13. ML practice useful for Image Processing and Computer Vision. (90% hands on and 10% theory)

14. Many other useful topics in Image Processing and Computer Vision. (90% hands on and 10% theory)