This course delves into the intersection of artificial intelligence and visual arts, with a focus on AI-driven animation and video generation. Students will explore cutting-edge models such as Transformers, Diffusion, Denoising Diffusion Implicit Models (DiT), and autoregressive systems. Emphasizing hands-on learning, the course guides students in implementing key AI components like LSTMs, attention mechanisms, and diffusion models. By the end of the course, students will gain both theoretical knowledge and practical skills for creating AI-driven media.