The deep end of agentic AI, from DataCamp. In about two hours you design and build AI agents with LangGraph, then progress from single-agent systems to multi-agent architectures, culminating in a working assistant. Advanced and hands-on — for developers who already know LangChain/LangGraph basics and want to build coordinated agent systems. API usage is billed separately.
Good for: Building multi-agent systems with LangGraph.
Less suitable if: You are new to LLMs/agents or cannot code Python.
Requirements: Python and LangChain/LangGraph basics; an API key (usage billed separately).
Realistic time: Around 2 hours.
About this course
Multi-Agent Systems with LangGraph is the deep end of agentic AI. In about two hours you design and build AI agents with LangGraph, then progress from single-agent systems to multi-agent architectures — culminating in an assistant that analyses Fortune 500 stock and company data and produces visualizations.
What you'll learn
Build agents with LangGraph
Design single-agent systems
Coordinate multiple agents
Manage state across agents
Integrate data analysis into agents
Produce visualizations from agent output
This course includes
2h
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.
Comparison · LBS
Compare alternatives for Multi-Agent Systems with LangGraph
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DADataCamp
Multi-Agent Systems with LangGraph
Price
Paid
DataCamp subscription · from $29/mo
Duration
2 hrs
Level
Advanced
Certificate
Course Certificate
UDUdemy4.7(39,752)
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents