The BEST Framework for AI Agents? Full LangGraph Tutorial

Want to build production-ready AI agents without getting lost in documentation? In this Langgraph tutorial, you'll learn how to build an advanced AI agent from scratch — no fluff, just real-world application. We’ll go beyond toy examples and show you how to create a Data Analyst AI agent that can analyze any dataset, query insights, and generate stunning visualizations. You’ll walk away understanding Langgraph’s core concepts, how to structure multi-step workflows, and how to architect agents that scale. 🔍 Perfect for those searching: how to build ai agents · langgraph tutorial · create langchain ai agent · build ai data analyst 📦 What You’ll Build: - A Langgraph-powered AI Agent - Capable of querying your data - Running deep analyses - Returning charts & visualizations 🌐 NEXT STEP: Deploy it to the Cloud and access it from anywhere! 👉 https://youtu.be/SGt786ne_Mk 🚀 Join the AI Launchpad community waitlist (FREE TO JOIN)! https://kenneth-liao.kit.com/community I'm building the community I wish I had when I started learning AI several years ago. What you can expect: - Community driven (You!) - Space for sharing, discussion, collaboration, and help - Courses, code templates, learning resources - Submit video ideas for the channel - Hackathons, challenges, and perks - And more... 🛠️ Resources Github Repo: https://github.com/kenneth-liao/langgraph-intro Get UV: https://docs.astral.sh/uv/guides/install-python/ Langgraph Slack Community: https://langchaincommunity.slack.com/ For business inquiries: 📧 [email protected] 🕒 Sections 00:00 - Intro 00:54 - Langgraph Overview 06:49 - Dataset Overview 08:31 - AI Agent Demo 15:39 - Langgraph Core Concepts 22:43 - Project Setup 32:42 - Project Structure 36:12 - Creating AI Agent Graphs 1:01:33 - AI Agent Tracing in Langsmith 1:09:54 - Final AI Agent Graph #langgraph #langchain #crewai #aiagents #aiagent #openai #aiagency