Watch and learn Agentic AI – Complete Course for Beginners instructor freeCodeCamp.org. This full video course has a total duration of 15:52 minutes providing step-by-step visual instructions. Follow along to build your skills on any desktop PC, Mac, tablet, or smartphone.
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Course Description & Lesson Notes
Official Video Description:
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
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🎓 Lesson Overview & Learning Outcomes:
Welcome to the step-by-step video guide for Agentic AI – Complete Course for Beginners taught by freeCodeCamp.org. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.
💡 Key Topics Covered in This Course:
- Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for Agentic AI – Complete Course for Beginners.
- Step-by-Step Practical Demonstration: Hands-on implementation guided by freeCodeCamp.org with real-world examples.
- Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
- Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.
📋 Recommended Prerequisites & Study Notes:
No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.
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