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 playlist is your hands-on guide to building agentic AI systems using LangGraph—a powerful framework for managing multi-step, multi-agent workflows. You’ll learn how to: Understand the core ideas behind agentic workflows Use LangGraph to define stateful agents and tasks Coordinate multiple tools, APIs, and LLM calls Handle memory, branching, and real-time decision logic Build real applications like assistants, planners, and autonomous agents. Just clear explanations, code demos, and practical projects. ⌚Time Stamps⌚ 00:00 - Intro 01:30 - Why this Playlist? 04:22 - Vision behind this Playlist 07:13 - Curriculum [Tentative] 13:05 - Prerequisites 14:50 - FAQs