1. Our first Generative AI application
2. Matrix Algebra with NumPy
3. Optimization and Automatic Differentiation
4. Review of Machine Learning with scikit-learn
5. Unsupervised Learning with UMAP
6. Text Processing with scikit-learn
7. Intro to Deep Learning
9. Deep Learning in Computer Vision
11. Transfer Learning
12. Zero-Shot Learning
13. Semantic Search
14. Object Detection
15. Exercises I
16. Exercises II
19. Intro to Transformers
20. Transformers Architecture & Transfer Learning
21. Fine-tuning with Transformers
22. Speech Recognition with Transformers
23. Instruction Tuning and the GPT API
24. Retrieval Augmented Generation
25. Exercises I
