Autonomous AI Agents

Catalog description

This course delves into the theoretical underpinnings and practical implementation of intelligent agents and autonomous AI systems. Students will learn to design systems that can perceive complex environments, formulate long-horizon plans, and execute multi-step workflows with minimal human intervention. The course covers foundational agentic concepts, advanced transformer-based language models, sophisticated prompt engineering, hierarchical planning, memory systems, and robust tool integration. A significant focus will be placed on developing modular Large Language Models (LLM) based-agent systems and addressing the ethical and governance challenges inherent in autonomous AI. This course prepares students to be leaders in the design, implementation, and responsible deployment of AI Agent with cutting-edge platforms.