Agentic AI

Prospective Students

• Join the 32K+ global community of Agentic AI MOOC and sign up for the course: Signup Form
• Join our LLM Agents Discord to stay updated
• Check out the Agentic AI Summit to learn more about the latest developments in agentic AI.
• This course is built upon the fundamentals from the Fall 2024 LLM Agents MOOC and Spring 2025 Advanced LLM Agents MOOC.

Course Staff

Instructor	(Guest) Co-instructor
Dawn Song	Xinyun Chen
Professor, UC Berkeley	Research Scientist, Meta

Guest Speakers

Yann Dubois Member of Technical Staff	Yangqing Jia VP, Al System Software	Jiantao Jiao Director of Research & Distinguished Scientist
Weizhu Chen Technical Fellow & CVP	Noam Brown Research Scientist	Sida Wang Research Scientist
James Zou Professor	Oriol Vinyals VP, Research	Peter Stone Chief Scientist at Sony Al, Professor at UT Austin

Class Time and Location

Lecture: 3-5pm PT Monday (starts Sep 15, 2025)

Course Description

Agentic AI is the new frontier and poised to transform the future of our daily life with the support of intelligent task automation and personalization. In this course, we will first discuss fundamental concepts that are essential for Agentic AI, including the foundation of LLMs, reasonsing, planning, agentic frameworks and infrastructure. We will also cover representative agent applications, including code generation, robotics, web automation, and scientific discovery. Meanwhile, we will discuss limitations and potential risks of current LLM agents, and share insights into directions for further improvement.

Syllabus