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)
Code - https://github.com/campusx-official/langsmith-masterclass Additional Code: OPENAI_API_KEY = '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' LANGCHAIN_TRACING_V2=true LANGCHAIN_ENDPOINT='https://api.smith.langchain.com' LANGCHAIN_API_KEY='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' LANGCHAIN_PROJECT='langsmith-demo' In this LangSmith Crash Course, you’ll learn the essentials of LangSmith for observability in GenAI applications. This step-by-step tutorial covers why LangSmith is important, core concepts, tracing, testing queries, and integrating with LangGraph. With practical code demos and real-world examples, this video is perfect for beginners who want to get hands-on with LangSmith and understand its key features. ============================ 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 CampusX on Instagram for daily tips: 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 01:53 - Why LangSmith? 08:30 - Example 2 22:15 - Observability 26:30 - What does LangSmith Trace? 29:00 - Setting up Agenda 33:10 - Code Demo 34:50 - Core Concepts 38:00 - Code Demo 54:17 - Tracing RAG App 01:27:10 - Testing Query 01:33:55 - LangGraph + LangSmith Integration 01:47:24 - Features of LangSmith 02:07:25 - Outro