Agentic AI using LangGraph

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)


Currently Playing: Generative AI vs Agentic AI | Agentic AI using LangGraph | Video 1 | CampusX

In this video, we break down the key difference between Generative AI and Agentic AI—and why it matters. You’ll learn: What Generative AI does (text, images, code) What makes Agentic AI different (goals, memory, decisions) Real-world use cases of Agentic AI How LangGraph helps you build these systems step by step We’ll also show you how LangGraph brings structure, memory, and control to LLM workflows—so your AI agents can actually reason, act, and adapt. ============================ 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 02:18 - What is GEN AI 07:03 - GEN AI vs Traditional AI 12:17 - Applications of GEN AI 20:08 - Chatbot 1 28:50 - Problems 31:47 - Chatbot 2 [RAG Based] 38:57 - Problems 40:13 - Chatbot 3 [Tool Augmented] 48:31 - Problems 50:28 - Chatbot 4 [Agentic AI] 57:25 - Problems 58:41 - Conclusion


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