Designing Agentic Systems with LangChain

Over about three hours you construct tool-augmented agents with the ReAct framework, design chatbots with LangGraph, and wire in external tools — hands-on and current, aimed at Python developers stepping into agentic AI. It assumes you can code and know LLM basics, so newcomers to either should build that footing first. Beyond the DataCamp subscription (about $14/month billed annually, first chapter free), remember the model APIs your agents call are billed by their provider per use — a separate, easily-forgotten running cost. LangChain and LangGraph move fast, so check the methods still match current versions (as of 2026).

Designing Agentic Systems with LangChain moves from calling models to building systems that act. Over about three hours you construct tool-augmented agents using the ReAct framework, design chatbots with LangGraph, integrate external APIs for real-time data, and manage multi-turn conversations through memory — connecting everything into a responsive graph.