This course introduces the core concepts and architectures behind generative AI, including GANs, VAEs, diffusion models, and transformers. Students will explore how generative models produce text, images, and other outputs, and will gain foundational understanding of prompt design, and common limitations such as hallucinations. The course also includes an overview of AI literacy to support responsible use and prepares learners for applied work in generative AI systems.
