Build a Smart AI Agent with LangGraph & Python – 10 Min Tutorial!

Want to build a smart AI agent that can browse the web, process information, and complete complex tasks? In this step-by-step tutorial, we’ll use LangGraph and Python to create a fully functional LLM agent that interacts with tools, retrieves real-time data, and executes multi-step reasoning—just like real AI systems used in production! 🚀 What You’ll Learn: ✅ How LLM agents work and why they’re so powerful ✅ How LangGraph structures AI workflows using graphs ✅ How to integrate tools like web search for real-time data ✅ How to build and test a working AI agent in Google Colab By the end, you’ll have a working AI assistant that can retrieve live information and solve multi-step problems—all with just a few lines of code. Code: https://colab.research.google.com/drive/1_VXw71o9pDmfC2LbgOoE3bRPaZ3LNi_w?usp=sharing Build AI Agent (No Framework) Video: https://youtu.be/mYo7UFwnW1k?si=_XAXQD0aSbUSjuZO If you found this helpful, like & subscribe for more AI content and tutorials! 🚀 *Inspired and adapted from LangChain's YouTube tutorial on LLM Workflows and Agents: https://youtu.be/aHCDrAbH_go?si=keAPU72kuugu_oxM