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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
W01Week 1: Probabilistic FoundationsGeneralW02Week 2: Variational AutoencodersGeneralW03Week 3: Generative Adversarial NetworksGeneralW04Week 4: Energy-Based Models and Score MatchingGeneralW05Week 5: Normalizing FlowsGeneralW06Week 6: Denoising Diffusion Probabilistic ModelsGeneralW07Week 7: Flow Matching and Consistency ModelsGeneralW08Week 8: Conditioning and ControlGeneralW09Week 9: Latent Diffusion and Multimodal GenerationGeneralW10Week 10: Evaluating Generative ModelsGeneralW11Week 11: Representation Learning with Generative ModelsGeneralW12Week 12: World Models and Reinforcement LearningGeneralW13Week 13: Safety, Misuse, and AlignmentGeneralW14Week 14: Generative AI CapstoneGeneral