Teaches how to build, evaluate, and train LLM agents through three implementation assignments and a research project. CMU's Fall 2026 course connects tool use, memory, and planning with SFT, reinforcement learning, and agent safety.
Teaches how to build and evaluate AI agents, from hand-written RAG and tool loops to memory, optimization, and safety. Two applied assignments and a quarter-long project connect design decisions to measured reliability.