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 explains what Agentic AI really means—and how it goes beyond traditional Generative AI. You’ll learn: The core idea behind Agentic AI: autonomous decision-making How agents use memory, tools, and goals to act Why this matters for real-world AI applications How LangGraph helps you build and manage agent workflows ============================ 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 01:31 - What is Agentic AI? 06:15 - Example of Agentic AI 15:26 - Key Characteristics 16:50 - Autonomy 24:32 - Goal Oriented 29:05 - Planning 35:45 - Reasoning 41:46 - Adaptability 45:56 - Context Awareness 51:53 - Components of Agentic AI 52:40 - Brain 54:05 - Orchestrator 55:58 - Tools 56:55 - Memory 57:35 - Supervisor