Understanding AI agents is crucial for those looking to leverage advanced technologies in data and AI engineering. This lecture covers the definition and architecture of AI agents, including types such as reflection, plan-and-execute, and rewoo. Participants will learn about the components of AI agents, including planning, reasoning, and memory, as well as the importance of tool access and feedback loops in enhancing agent performance. The session also introduces industry trends and frameworks relevant to AI agents, providing a comprehensive overview for aspiring engineers.