Generative AI

An advanced course that builds from statistical and neural-network foundations, including regression, optimization, and transformer architectures, toward generative modeling. Students examine autoencoders, generative adversarial networks, and large language models, then study image and 3D synthesis methods such as text-to-image models and Gaussian splatting.