Watch and track your favorite playlist.
Curated by: CampusX (1206 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