Agentic AI / Spring 2026
Updates
- New Lecture is up: Agent Reasoning Basics [slides]
- New Lecture is up: Agent Memory Design [slides]
- New Lecture is up: Agent Tool Design [slides]
- New Assignment released: [Assignment #2 - Prompt Engineering]
- New Lecture is up: Agent Application Basics [slides]
- New Lecture is up: Context Engineering [slides]
- New Assignment released: [Assignment #1 - LLM Fine-tuning]
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 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 usinig the internal Canvas System at USF.
