Tharindu Deshan Himahansa has completed
Multi-Agent Systems with LangGraph
Start Course for Free2 hr 45 min
1,100 XP
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!
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Agents as Graphs
FreeLearn 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.
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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.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.collaborators
prerequisites
Designing Agentic Systems with LangChain
James ChapmanAI Curriculum Team Lead, DataCamp
James designs and curates the AI curriculum at DataCamp. With 5+ years experience creating data and AI courses and collaborating with experts from industry and academia, he relishes creating experiences that maximise learning outcomes and enjoyment. He has a Master's degree in Physics and Astronomy from Durham University, where he specialized in using machine learning to detect high-redshift quasars. In his spare time, he enjoys fixing and restoring retro toys and electronics.
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