Build your first AI agent using LangGraph!

In this beginner-friendly tutorial, explore the fundamentals of LangGraph and learn how to build your first AI agent. Discover how to define AI agents as graphs and nodes, and integrate powerful tools like OpenAI for enhanced functionality. Whether you're new to AI development or looking to expand your skills, this comprehensive guide will walk you through each step.

- Understand the core building blocks of LangGraph
- Build a simple AI agent from scratch in Python
- Integrate and manage tool calling by adding built-in tools
- Create and register custom tools
- Compare cloud vs local LLM deployments

📌 Resources & Tutorials

Check out our newly released newsletter on Substack — The Median: https://dcthemedian.substack.com
Tutorial Notebook: https://www.datacamp.com/datalab/w/3378917b-12bd-4f79-ab48-00ec6e292705/edit
Course - Multi-Agent Systems with LangGraph: https://www.datacamp.com/courses/multi-agent-systems-with-langgraph
LangChain Tools Documentation: https://python.langchain.com/docs/integrations/tools/
Berkeley Function-Calling Leaderboard: https://gorilla.cs.berkeley.edu/leaderboard.html

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Видео Build your first AI agent using LangGraph! канала DataCamp