Agentic AI Crash Course | Build Real AI Agents with LangGraph (Complete Course in One Video)
Learn Agentic AI from scratch by building real projects using LangGraph — the framework used to create and orchestrate production-grade AI agents.
In this single video, you'll master the 5 core workflow types that power every modern AI agent, and by the end you'll be able to build your own multi-agent systems, RAG-powered chatbots, and human-in-the-loop applications.
🔹 What you'll learn
✔️ Generative AI vs Agentic AI — the real difference
✔️ LangGraph fundamentals — state, nodes, edges, conditional edges
✔️ Sequential workflows — your first LangGraph project
✔️ Parallel workflows — reducers and fan-out/fan-in
✔️ Conditional workflows — building a RAG-based college assistant
✔️ Iterative workflows — self-reviewing LinkedIn post generator with tools
✔️ Human-in-the-Loop — pausing agents for human approval

🔹 Projects you'll build
✅ Content pipeline (Sequential)
✅ Multi-source research agent (Parallel)
✅ College RAG chatbot with 2 PDFs (Conditional)
✅ LinkedIn Post Generator with self-review loop (Iterative)
✅ HITL LinkedIn Generator with human approval (Human-in-the-Loop)

🔹 Prerequisites
* Intermediate Python
* Basic LangChain knowledge
* An OpenAI or Groq API key

🔹 Timestamps
00:00:00 - 00:01:51 - Introduction
00:01:51 - 00:16:09 - Generative Ai vs Agentic Al
00:16:09 - 00:28:39 - Why Langgraph
00:28:39 - 01:27:26 - Sequential workflow and lang graph basics
01:27:26 - 02:02:10 - Parallel workflow and reducers
02:02:10 - 03:21:30 - Conditional workflow and RAG implementation
03:21:30 - 04:56:35 - Iterative workflow and project
04:56:35 - 05:18:07 - Human in the loop workflow




🔹 GitHub Repositoryhttps://github.com/AkarshVyas/Agentic-AI-youtube

🔹 Resources & LinksMy notes - https://slides.com/sheryianscodingschool/bento

Tavily (Free API): https://tavily.comGroq (Free API): https://console.groq.com

🔹 Related VideosLangChain Full Course: https://www.youtube.com/playlistlist=PLaldQ9PzZd9oXR4PMGR4pr_DX4wFHkFwR

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Drop a comment with what you want me to cover next — MLOps? Deployment with FastAPI? Multi-agent systems? Let me know.

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