Courses/Generative Models

Generative Models

VAEs, diffusion models, and flow matching from first principles. Build systems that synthesize images, audio, and structured data.

Advanced14 weeks · 14 lessons

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Lessons

Week 1: Probabilistic Foundations

Week 2: Variational Autoencoders

Week 3: Generative Adversarial Networks

Week 4: Energy-Based Models and Score Matching

Week 5: Normalizing Flows

Week 6: Denoising Diffusion Probabilistic Models

Week 7: Flow Matching and Consistency Models

Week 8: Conditioning and Control

Week 9: Latent Diffusion and Multimodal Generation

Week 10: Evaluating Generative Models

Week 11: Representation Learning with Generative Models

Week 12: World Models and Reinforcement Learning

Week 13: Safety, Misuse, and Alignment

Week 14: Generative AI Capstone