Understanding AI agents is crucial for anyone involved in data and AI engineering. This lecture covers the components and types of AI agents, including reflection, plan-and-execute, and rewoo architectures. Participants will learn how agents utilize tools like LLMs and retrieval-augmented generation to enhance reasoning and problem-solving capabilities, while also addressing challenges such as latency and cost. The session provides insights into practical applications and frameworks for developing effective AI agents.