LangGraph Tutorial for Beginners: Build Your First AI Agent

DataCamp · Beginner ·🧠 Large Language Models ·9mo ago
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 dep…
Watch on YouTube ↗ (saves to browser)

Chapters (15)

Welcome & tutorial roadmap
1:18 LLM vs AI agent • What is LangGraph?
4:41 Flow-chart analogy • Nodes & edges
7:40 Imports & environment setup
10:21 Agent 1 – Define state & build first agent
16:03 Compile, visualise & test Agent 1
22:42 Agent 2 – Add conversational memory
27:30 Union types, context feed & demo
33:29 Agent 3 – Tool calling & conditional edges
40:36 LangChain docs tour • Built-in tools
44:17 Reducer functions & graph visualisation
55:38 Agent 4 – ReAct agent with `create_react_agent`
57:32 Agent 5 – Custom tools & multi-tool agent
1:02:38 Agent 6 – Running local LLMs with Ollama
1:05:55 GPT-4o vs Qwen 2.5 • Pros & co

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