Agentic Systems with LangGraph

You will learn to understand AI agents — from their defining characteristics, key components, and operational patterns — enabling you to recognize when agentic systems are the right approach and understand how they differ from traditional chatbots.

You will learn to evaluate the tradeoff between agent autonomy and system reliability — understanding why pure ReAct agents fail on complex tasks, how task decomposition improves reliability, and how to identify the right balance point for your application.

You will learn to design and implement reliable agentic workflows using task decomposition patterns — mastering chaining, routing, parallelization, reflection, and code delegation — to build production-ready systems that balance autonomy with predictable performance.