A DataCamp course that 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, and integrate external tools. Hands-on and current, aimed at Python developers building agentic AI. Model API usage is billed separately.
Good for: Building tool-augmented AI agents with LangChain and LangGraph.
Less suitable if: You cannot code Python or are new to LLMs.
Requirements: Python and LLM basics; an API key (usage billed separately).
Realistic time: Around 3 hours.
About this course
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.
What you'll learn
Build agents with the ReAct framework
Integrate external tools and APIs
Design chatbots with LangGraph
Manage state across a graph
Handle multi-turn memory
Connect components into agentic systems
This course includes
3h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription. The model APIs your agents call are billed by usage by the provider, separate from DataCamp.
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