Phase 04

Computer Vision

Phase 4: Computer Vision. 28 hands-on lessons building AI from first principles in the browser. Free reading; graded exercises and certificate with lifetime access.

1. Image Fundamentals — Pixels, Channels, Color Spaces (graded)
2. Convolutions from Scratch (graded)
3. CNNs — LeNet to ResNet (graded)
4. Image Classification (graded)
5. Transfer Learning & Fine-Tuning
6. Object Detection — YOLO from Scratch (graded)
7. Semantic Segmentation — U-Net
8. Instance Segmentation — Mask R-CNN
9. Image Generation — GANs
10. Image Generation — Diffusion Models
11. Stable Diffusion — Architecture & Fine-Tuning
12. Video Understanding — Temporal Modeling
13. 3D Vision — Point Clouds & NeRFs
14. Vision Transformers (ViT) (graded)
15. Real-Time Vision — Edge Deployment
16. Build a Complete Vision Pipeline — Capstone
17. Self-Supervised Vision — SimCLR, DINO, MAE (graded)
18. Open-Vocabulary Vision — CLIP (graded)
19. OCR & Document Understanding
20. Image Retrieval & Metric Learning (graded)
21. Keypoint Detection & Pose Estimation (graded)
22. 3D Gaussian Splatting from Scratch
23. Diffusion Transformers & Rectified Flow
24. SAM 3 & Open-Vocabulary Segmentation (graded)
25. Vision-Language Models — The ViT-MLP-LLM Pattern
26. Monocular Depth & Geometry Estimation
27. Multi-Object Tracking & Video Memory (graded)
28. World Models & Video Diffusion