LangGraph Crash Course - From Zero to Hero with Deep Search React Agent Project
Machine Learning With Hamza via YouTube
Overview
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Master LangGraph framework fundamentals in this comprehensive crash course tutorial designed for beginners with no prior experience required. Learn to build AI agents and workflows using graph-based architecture, starting with core concepts like what LangGraph is and how graphs function within the framework. Explore essential graph components including nodes, edges, and state management through detailed explanations and hands-on coding examples. Progress through advanced concepts and design patterns that enable sophisticated agent behaviors and workflow orchestration. Build practical projects including a ReAct (Reasoning and Acting) agent with Human-in-the-Loop (HITL) capabilities and culminate with creating a DeepSearch ReAct Agent that demonstrates real-world application scenarios. Gain proficiency in implementing various LangGraph components, understanding graph topology design, and applying proven patterns for creating robust AI agent systems through step-by-step coding demonstrations and project-based learning.
Syllabus
00:00:00 Intro
00:01:00 What is LangGraph?
00:01:42 What is a Graph in LangGraph?
00:03:11 Main graph components explained
00:11:00 Coding basic components
00:29:37 Advanced Concepts & Design Patterns
00:55:37 ReAct Agent with HITL
01:00:48 DeepSearch ReAct Agent
Taught by
Machine Learning With Hamza