Introduction to Agentic AI / Spring 2026
Updates
- New Lecture is up: Agentic AI Evaluation [slides]
- New Lecture is up: Security of Agentic AI [slides]
- New Lecture is up: Agentic AI for Security [slides]
- New Lecture is up: Multi-Agent System Design [slides]
- New Lecture is up: AI Agent Planning Design [slides]
- New Lecture is up: Agent Reasoning Basics [slides]
- New Lecture is up: Reinforcement Learning for Agentic AI [slides]
Course Description
In this course, we will explore the foundations, architectures, and real-world applications of agentic AI systems capable of autonomous reasoning, planning, and action. You will learn how modern AI Agents go beyond single prompts: they think and plan, use tools and external data, act in the world, and learn from feedback. You will dive into the core principles that empower AI to act with purpose, adapt to complex environments, and collaborate with humans in meaningful ways. Along the way, you will gain insights into how agentic AI operates under the hood: from perception and planning to learning and decision-making.
Note: Some interactions are using the internal Canvas System at USF.
