Welcome to the ultimate Agentic AI using LangGraph playlist! In this series, we’ll take you from the fundamentals of Agentic AI — understanding how it differs from generative AI and tool-augmented chatbots — all the way to building powerful, production-ready systems using LangGraph. You’ll learn core concepts like state management, prompt chaining, orchestrator-worker patterns, conditional edges, tool calling, and multi-agent setups. Along the way, we’ll explore advanced workflows including RAG, agentic RAG, memory, persistence, observability, and deployment strategies. Whether you're a beginner or looking to master Agentic AI frameworks, this playlist will equip you to design, build, and debug sophisticated AI agent systems with confidence!
Curated by: CampusX (28 videos)
This video teaches you how to build parallel workflows using LangGraph. You’ll learn how to run multiple tasks at the same time, manage branching logic, and combine results effectively. What’s covered: How to structure parallel tasks in LangGraph Running independent nodes simultaneously Merging outputs from parallel workflows Practical examples for faster, more efficient LLM applications If you want to scale your AI workflows with speed and flexibility, this is a great place to start. Code - https://github.com/campusx-official/langgraph-tutorials ============================ Did you like my teaching style? Check my affordable mentorship program at : https://learnwith.campusx.in DSMP FAQ: https://docs.google.com/document/d/1OsMe9jGHoZS67FH8TdIzcUaDWuu5RAbCbBKk2cNq6Dk/edit#heading=h.gvv0r2jo3vjw ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at support@campusx.in ⌚Time Stamps⌚ 00:00 - Intro 02:43 - Installation 07:15 - First Workflow 26:11 - LLM Workflow 36:55 - Prompt Chaining