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 breaks down the key building blocks of LangGraph. You’ll learn how to design and manage LLM workflows using concepts like prompt chaining, routing, parallel execution, and graph-based orchestration. We cover: How LangGraph structures workflows with nodes and edges How state, reducers, and orchestrators work together The full execution model that powers agentic AI systems ============================ 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 Slide into our DMs: 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 01:14 - What is LangGraph? 05:43 - LLM WorkFlows 09:07 - Prompt Chaining 11:17 - Routing 13:14 - Parallelization 16:11 - Orchestrator Workers 19:48 - Evaluator Optimizer 23:00 - Graphs Nodes and Edges 30:53 - State 36:07 - Reducers 44:38 - LangGraph Execution Model