Learn to implement advanced AI agent design patterns for planning, tool use, and multi-agent collaboration with LangChain.
Overview
This in-depth lecture, part of Michigan State University's CSE curriculum, explores the core pillars of AI agent design: planning, effective tool use, and complex multi-agent collaboration. Dive into agentic design patterns, learn how agents decompose complex goals, leverage external systems via APIs, and coordinate with other AI entities. Features practical examples, ReAct-style planners, and LangChain code demonstrations, making it ideal for developers and students building intelligent, autonomous systems.