Skip to main content
Maximus Elmorry avatar

Maximus Elmorry has completed

Multi-Agent Systems with LangGraph

Start course For Free
2 hr 45 min
1,100 XP
Statement of Accomplishment Badge

Loved by learners at thousands of companies

Course Description

Build AI Agents with LangGraph

Design and build your own agents with LangGraph! LangGraph is a core part of the LangChain ecosystem, and it's used to build production-ready AI agents with a high degree of customizability. LangGraph allows developers to build agents as graphs with nodes and edges, which allows information flow and decision pathways to be carefully mapped out, and reduces the room for unexpected errors to creep in.

Explore Emerging Multi-Agent Architectures

Since the rise of AI agents, a handful of agentic design patterns have emerged, and you'll learn about two of the most popular: network (or decentralized) multi-agents and supervisor multi-agents. Manage multiple agents effectively by designing a supervisor agent to delegate tasks and encourage collaboration between the worker agents.

Create Your Own Agentic Assistant

You'll use LangGraph to build an agentic assistant to gather information and stock performance data on Fortune 500 companies, and analyze it using visualizations!

You'll see this agent progress from a simple single-agent system to a three-agent supervisor multi-agent! Join the growing number of AI builders and learn to design and build AI agents today!
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.
  1. 1

    Agents as Graphs

    Free

    Learn to build AI agents the LangGraph way! Build a toolbox of tools to help your agent interact with APIs, retrieve data from CSV files, and run Python code! Begin to build a single-agent system using nodes and edges to connect the LLM and tools in a controlled and methodical way.

    Play Chapter Now
    Building agents the LangGraph way!
    50 xp
    Agent toolbox: Wikipedia tool
    100 xp
    Agent toolbox: stock data tool
    100 xp
    Agent toolbox: Python tool
    100 xp
    Agentic orchestration with LangGraph
    100 xp
    Your first agent!
    100 xp
  2. 2

    LangGraph Multi-Agents

    Since the rise of AI agents, a handful of agentic design patterns have emerged, and you'll learn about two of the most popular: swarm (or decentralized) multi-agents and supervisor multi-agents. You'll see that LangGraph provides a whole host of functionality to design multi-agents tailored to your specific use case.

    Play Chapter Now
    To tool or not to tool!
    50 xp
    Conditional tool calls
    100 xp
    One-line agents
    100 xp
    Multi-agent frameworks
    50 xp
    Another agent!
    100 xp
    Supervisor agents
    100 xp
    Wrap-up
    50 xp
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.

collaborators

Collaborator's avatar
Adel Nehme

prerequisites

Designing Agentic Systems with LangChain
James Chapman HeadshotJames Chapman

AI Curriculum Manager, DataCamp

James is a Curriculum Manager at DataCamp, where he collaborates with experts from industry and academia to create courses on AI, data science, and analytics. He has led nine DataCamp courses on diverse topics in Python, R, AI developer tooling, and Google Sheets. He has a Master's degree in Physics and Astronomy from Durham University, where he specialized in high-redshift quasar detection. In his spare time, he enjoys restoring retro toys and electronics.

Follow James on LinkedIn
See More

Join over 17 million learners and start Multi-Agent Systems with LangGraph today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.