In this session, we begin our exploration of AI Agents within the realm of Generative AI. Students will gain a solid understanding of what AI agents are autonomous systems that perceive, reason, and act in dynamic environments. We’ll discuss the various types of agents, including reactive, model-based, goal-driven, and utility-based agents, and how they function in both static and real-time systems.

The lecture will also highlight how Generative AI enhances agent capabilities, enabling tasks like decision-making, dialogue generation, and autonomous content creation. By the end of the session, students will build a simple AI agent and see how it can be integrated with generative models for smarter behavior. This sets the foundation for more advanced multi-agent systems and real-world applications ahead.