If you're building AI agents and want to go beyond tutorials, this CMU graduate course offers a structured, research-backed curriculum covering the full stack of agent design — tool use, memory, planning, and safety — shaped by an active LLM agents researcher at one of the top NLP programs in the world.
It's the difference between picking up concepts piecemeal and having a coherent academic framework that connects the dots.
A university course at Carnegie Mellon University focused on building AI agents end-to-end.
Students gain hands-on experience constructing agentic harnesses, building evaluations, and training LLMs with reinforcement learning.
The course balances theory and practice while covering modern frameworks and best practices.
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We're creating a new course on AI Agents at CMU this Fall!
We’re aiming to give students hands-on experience: from building agentic harnesses and evals to training with RL.
Check out our course site for the full schedule: https://t.co/DW9J20fpZD https://t.co/wKn89YDx60
