LangGraph Complete Course for Beginners – Complex AI Agents with Python

freeCodeCamp.org · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

This video course covers the LangGraph library, a Python tool for building advanced conversational AI workflows, and teaches how to design, implement, and manage complex dialogue systems using a graph-based approach.

Original Description

Welcome to this video course on LangGraph, the powerful Python library for building advanced conversational AI workflows. In this course, Vaibhav Mehra will teach you how to design, implement, and manage complex dialogue systems using a graph-based approach. By the end, you'll be equipped to build robust, scalable conversational applications that leverage the full potential of large language models. Code: https://github.com/iamvaibhavmehra/LangGraph-Course-freeCodeCamp Vaibhav Mehra on LinkedIn: https://www.linkedin.com/in/vaibhav-mehra-main/ Vaibhav on Instagram: https://www.instagram.com/iamvaibhavmehra/ ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ 0:00:00 Introduction 0:01:24 Type Annotations 0:08:35 Elements 0:18:39 Agent 1 Intro 0:21:08 Agent 1 Code 0:32:22 Agent 1 Exercise 0:33:07 Agent 2 Intro 0:34:02 Agent 2 Code 0:43:27 Agent 2 Exercise 0:44:29 Agent 3 Intro 0:45:18 Agent 3 Code 0:54:04 Agent 3 Exercise 0:55:36 Agent 4 Intro 0:56:37 Agent 4 Code 1:13:09 Agent 4 Exercise 1:14:14 Agent 5 Intro 1:15:45 Agent 5 Code 1:29:19 Agent 5 Exercise 1:31:01 AI Agent 1 Intro 1:32:49 AI Agent 1 Code 1:42:54 AI Agent 2 Intro 1:43:58 AI Agent 2 Code 2:03:20 AI Agent 3 Intro 2:05:00 AI Agent 3 Prerequisite 2:12:28 AI Agent 3 Code 2:28:46 AI Agent 4 Intro 2:30:59 AI Agent 4 Code 2:52:09 RAG Agent Intro 2:53:01 RAG Agent Code 3:06:15 RAG Agent Testing 3:09:04 Course Outro 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
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This course teaches beginners how to use the LangGraph library to build advanced conversational AI workflows, including designing and implementing complex dialogue systems and managing AI agents. By the end of the course, students will be equipped to build robust and scalable conversational applications. The course covers a range of topics, including type annotations, elements, and AI agent development.

Key Takeaways
  1. Install the LangGraph library
  2. Learn type annotations
  3. Understand elements
  4. Develop AI agents
  5. Implement RAG agents
  6. Test and deploy conversational AI workflows
💡 The LangGraph library provides a powerful tool for building advanced conversational AI workflows, and its graph-based approach allows for complex dialogue systems to be designed and implemented efficiently.

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Chapters (31)

Introduction
1:24 Type Annotations
8:35 Elements
18:39 Agent 1 Intro
21:08 Agent 1 Code
32:22 Agent 1 Exercise
33:07 Agent 2 Intro
34:02 Agent 2 Code
43:27 Agent 2 Exercise
44:29 Agent 3 Intro
45:18 Agent 3 Code
54:04 Agent 3 Exercise
55:36 Agent 4 Intro
56:37 Agent 4 Code
1:13:09 Agent 4 Exercise
1:14:14 Agent 5 Intro
1:15:45 Agent 5 Code
1:29:19 Agent 5 Exercise
1:31:01 AI Agent 1 Intro
1:32:49 AI Agent 1 Code
1:42:54 AI Agent 2 Intro
1:43:58 AI Agent 2 Code
2:03:20 AI Agent 3 Intro
2:05:00 AI Agent 3 Prerequisite
2:12:28 AI Agent 3 Code
2:28:46 AI Agent 4 Intro
2:30:59 AI Agent 4 Code
2:52:09 RAG Agent Intro
2:53:01 RAG Agent Code
3:06:15 RAG Agent Testing
3:09:04 Course Outro
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