Apr 17
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Description: Welcome to the foundations of LangGraph! In this introductory module, instructor Zephyr breaks down how LangGraph enables developers to create end-to-end agentic workflows. Learn the difference between LangChain and LangGraph, and explore the architecture of autonomous research engines. Chapters: 0:00 Introduction to the Module 0:35 Course Roadmap: Basics, Orchestration & Capstone 1:22 What You Will Build: Simple to Multi-Agent Workflows 2:08 Prerequisites: Python, Jupyter & Virtual Environments 3:30 What is LangGraph? (The Framework Explained) 5:00 LangGraph vs. LangChain 6:05 Understanding Nodes and Edges 6:40 The LLM Agent Stack: API, Tools & Orchestration 8:20 Real-world Use Cases: Support & Research Assistants #langgraph #AI #Python #LangChain #LLM #AIAgents