CoursesGenerative Models
Machine learning
Generative Models
VAEs, diffusion models, and flow matching from first principles. Build systems that synthesize images, audio, and structured data.
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Course contents
- W01Week 1: Probabilistic Foundations
- W02Week 2: Variational Autoencoders
- W03Week 3: Generative Adversarial Networks
- W04Week 4: Energy-Based Models and Score Matching
- W05Week 5: Normalizing Flows
- W06Week 6: Denoising Diffusion Probabilistic Models
- W07Week 7: Flow Matching and Consistency Models
- W08Week 8: Conditioning and Control
- W09Week 9: Latent Diffusion and Multimodal Generation
- W10Week 10: Evaluating Generative Models
- W11Week 11: Representation Learning with Generative Models
- W12Week 12: World Models and Reinforcement Learning
- W13Week 13: Safety, Misuse, and Alignment
- W14Week 14: Generative AI Capstone