Stanford's CS236 Deep Generative Models course, taught by Stefano Ermon, covers modern deep generative models such as likelihood-based models, latent variable models, and generative adversarial networks. Its full lecture series is available free on YouTube.

Commenters call Stefano Ermon's lectures amazing and point to the full YouTube series as a video option for learning generative AI.

What commenters said (2)

1. Strongly recommendssmokel2025in “A short introduction to optimal transport and Wasserstein distance (2020)”

   This is very helpful for understanding generative AI. See for example the amazing lectures of Stefano Ermon for Stanford's CS236 Deep Generative Models [1]. All lectures are available on YouTube [2].

   [1] https://deepgenerativemodels.github.io/

   [2] https://youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXa...

2. Recommendssmokel2025in “The Principles of Diffusion Models”

   If you're more into videos, be sure to check out Stefano Ermon's CS236 Deep Generative Models [1]. All lectures are available on YouTube [2].

   [1] https://deepgenerativemodels.github.io/

   [2] https://m.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6ST...

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