LangGraph Complete Course for Beginners – Complex AI Agents

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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/Vaibhav807/LangGraph-Course

Vaibhav Mehra on LinkedIn: https://www.linkedin.com/in/vaibhav-mehra-main/

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
(0:26:58) Type Annotations
(0:34:09) Elements
(0:44:13) Agent 1 Intro
(0:46:42) Agent 1 Code
(0:57:56) Agent 1 Exercise
(0:58:41) Agent 2 Intro
(0:59:36) Agent 2 Code
(1:09:01) Agent 2 Exercise
(1:10:03) Agent 3 Intro
(1:10:52) Agent 3 Code
(1:19:38) Agent 3 Exercise
(1:21:10) Agent 4 Intro
(1:22:11) Agent 4 Code
(1:38:43) Agent 4 Exercise
(1:39:48) Agent 5 Intro
(1:41:19) Agent 5 Code
(1:54:53) Agent 5 Exercise
(1:56:35) AI Agent 1 Intro
(1:58:23) AI Agent 1 Code
(2:08:28) AI Agent 2 Intro
(2:09:32) AI Agent 2 Code
(2:28:54) AI Agent 3 Intro
(2:30:34) AI Agent 3 Prerequisite
(2:38:02) AI Agent 3 Code
(2:54:20) AI Agent 4 Intro
(2:56:33) AI Agent 4 Code
(3:17:43) RAG Agent Intro
(3:18:35) RAG Agent Code
(3:31:49) RAG Agent Testing
(3:34:38) 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