Watch Artificial Intelligence Real World Project Tutorial Video Tutorials & Courses

Learn how to build production-ready multi-agent systems and automate workflows using LangChain and LangGraph. You'll master everything from core agentic fundamentals and Pydantic validation to advanced sequential, parallel, and conditional LangGraph workflows. Along the way, you'll implement chat memory, RAG, and human-in-the-loop controls, and finish by deploying your applications to AWS and Render through real-world projects like a custom ChatGPT, trip planner, and auto content agent. Code: https://github.com/entbappy/Complete-Agentic-AI-Course Bappy's YouTube Channel: https://www.youtube.com/@dswithbappy Bappy's LinkedIn profile: https://www.linkedin.com/in/boktiarahmed73/ Bappy's Udemy: https://www.udemy.com/user/boktiar-ahmed-bappy/ ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Chapters ⭐️ - 00:00:00 Introduction & Planning - 00:08:33 Evolution from LLMs to Agentic AI - 00:41:26 Agentic AI: Core Characteristics & Components - 01:33:18 Asynchronous Programming for AI Agents - 02:06:23 Pydantic for AI Agents - Pydantic Data Validation - 03:27:08 Building End-to-End Single AI Agent System using LangChain - 04:49:37 Building End-to-End Multi-Agent AI System with LangChain - 06:30:27 What is LangGraph & Why It’s Required? | LangChain vs LangGraph - 07:44:43 Understanding LangGraph Core Components - 08:29:07 Build Sequential Workflows in LangGraph - 09:19:04 Implement Parallel Workflows in LangGraph - 10:15:27 Master Conditional Workflows in LangGraph - 11:06:05 LangGraph Iterative Workflows Explained - 11:35:51 Build Your First Agentic Chatbot with LangGraph - 12:43:49 Why Persistence is Required in LangGraph - 13:51:00 Streaming Responses in Agentic Chatbot with LangGraph - 14:10:02 How to Add Chat Threading in Agentic Chatbot using LangGraph - 14:42:02 Build Permanent Chat Persistence Memory with LangGraph and Database - 15:16:31 Monitor Your Agentic Chatbot with LangSmith & LangGraph - 15:40:24 How to Integrate Tools in Agentic Chatbot with LangGraph - 16:54:17 Implement RAG in Agentic Chatbot with LangGraph - 17:50:27 Implement Human-in-the-Loop (HITL) in Agentic Chatbot using LangGraph - 18:48:09 Agentic Chatbot CI/CD Deployment on AWS with Docker & GitHub Actions - 19:52:05 Deploy Agentic AI Chatbot on Render for FREE with Docker - 20:06:27 Project: Build Your Own ChatGPT Agent with LLMs, LangGraph, FastAPI, LangSmith, ChromaDB, SQLAlchemy & AWS - 22:21:17 Project: Build TripMate AI End-to-End: Multi-Agent Travel Planner with Groq, LangGraph, PostgreSQL & FastAPI 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news Key Highlights & Overview: Learning <strong>Artificial Intelligence Real World Project Tutorial</strong> is essential for modern technical workflows and software skills. Explore curated video courses, expert walkthroughs, and detailed lesson notes today on <strong>TutorTube</strong>.