LangGraph Tutorial - How to Build Advanced AI Agent Systems

👉 Check out PyCharm, the Python IDE for data and web professionals: https://jb.gg/try-pycharm-ide 👉 Free 3-Month Personal Subscription for PyCharm with “PyCharm_for_Tim”: https://jb.gg/redeem-code-now In this video, you're going to learn how to build AI agents using LangGraph. LangGraph is a much more professional and in-depth framework compared to something like LangChain or LlamaIndex, which allows you to build a really complicated and well thought out AI agents. If you're looking to push something into production, you want to have scalability features, and overall you just want more control, then LangGraph is what you should be using. 🚀 My Software Development Program: https://coursecareers.com/a/techwithtim?course=software-dev-fundamentals&campaign=youtubedescription 📬 Join my Newsletter: https://techwithtim.net/newsletter 🎓 Get private mentorship from me: https://training.techwithtim.net 🎞 Video Resources 🎞 Code In This Video: https://github.com/techwithtim/LangGraph-Tutorial UV Website: https://docs.astral.sh/uv/ UV Video: https://www.youtube.com/watch?v=6pttmsBSi8M&ab_channel=TechWithTim Anthropic Console: https://console.anthropic.com/settings/keys LangGraph Getting Started Guide: https://langchain-ai.github.io/langgraph/tutorials/introduction/#part-1-build-a-basic-chatbot ⏳ Timestamps ⏳ 00:00 | Overview 00:44 | LangGraph Core Features 02:31 | LangGraph Examples 04:20 | IDE Choice 05:00 | Environment Setup/Install 07:45 | Getting LLM API Token 08:59 | Simple LangGraph Chatbot 23:20 | Generating The Visual Graph 24:25 | Complex LangGraph Chatbot Hashtags #LangGraph #LangChain #AiAgents