This lecture provides a crash course on generative models, covering topics such as exponential families, Boltzmann machines, Ising models, sampling methods, Metropolis algorithm, and Monte Carlo Markov Chain. The instructor explains the concepts with a focus on practical applications and theoretical foundations.