Generative AI — Course Resources · Dr. Prathosh A.P., IISc Bengaluru
A comprehensive reference covering probabilistic graphical models, deep generative models, Bayesian deep learning, and advanced inference methods. Freely available online at probml.github.io ↗
This course is offered through IISc's Centre for Continuing Education (CCE) programme, designed to bring rigorous, research-level instruction in Generative AI to working professionals and advanced students.
The course covers the mathematical and algorithmic foundations of modern generative models — from classical probabilistic ML and Bayesian inference through to state-of-the-art deep generative architectures including VAEs, GANs, normalising flows, diffusion models, and large language models.
The material draws on the instructor's active research programme in generative AI (machine unlearning, symmetry discovery, neural operators, and generative AI for medicine) and is designed to give participants both theoretical depth and practical intuition.