Agentic AI Program Overview

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Description from the channel

Learn more: https://stanford.io/4iHlGQp Build modern AI agents with Stanford's graduate-level curriculum, adapted for working professionals. Taught by Stanford Adjunct Professor Chowdhery and Assistant Professor Mirhoseini, this Agentic AI program takes you beyond basic LLM prompting to agents that reason, plan, use tools, and improve themselves through interaction with their environment. What you'll learn: - Design agentic systems for complex, multi-step real-world tasks - Apply test-time scaling to boost LLM performance - Use self-improvement methods: verifiers, feedback loops, RL, and search - Build agents that use tools and take actions effectively - Add retrieval and long-term memory to LLMs - Develop planning and multi-step reasoning - Evaluate agent performance with robust frameworks Drawing on Stanford research and the latest advances in the field.