Advances in Generative AI

In this course, you’ll learn how generative AI systems evolve from tools into more autonomous, goal-driven systems—and what that means for how they are built, evaluated, and used in the real world. You’ll explore how foundational models, feedback loops, tools, and memory combine to create agent-like behavior, and how modern AI systems are designed as coordinated “teams” rather than single models. Along the way, you’ll examine how AI is being applied in areas like scientific discovery and complex workflows, while also learning how to evaluate performance, manage risk, and design systems respons