This course is designed to provide a comprehensive overview of generative AI techniques, with a focus on image and text generation. The course will cover scalable infrastructure, foundational knowledge of generative modeling, autoencoders, variational autoencoders, generative adversarial networks, diffusion models, autoregressive models, and multi-modal models. The course will also include hands-on projects and demonstrations to reinforce the concepts learned.
