Udemy – LangGraph for Developers: From Zero to Hero

In this comprehensive LangGraph course, you will learn how to design, build, and deploy production-ready Agentic AI systems using LangGraph, Large Language Models (LLMs), MCP, and FastAPI. This course is built specifically for developers who want to master graph-based LLM orchestration and move beyond simple chatbot demos.

What You’ll Learn

By the end of this course, you will be able to:

• Build stateful AI agents using LangGraph
• Design graph-based LLM workflows with nodes, edges, and reducers
• Work with OpenAI and other LLM providers
• Implement control flow and conditional routing
• Add memory, persistence, and interrupt handling
• Use streaming and tool-calling capabilities
• Design Agentic AI architectures
• Implement Model Context Protocol (MCP)
• Build MCP-enabled tool discovery systems
• Develop and deploy AI Agent APIs using FastAPI

Core Topics Covered:

• LangGraph Fundamentals
• State, Nodes, Edges & Reducers
• Control Flow & Conditional Execution
• Tool Calling & Streaming
• Persistence & Time Travel Debugging
• Memory & Sub-Graphs
• Agentic Design Patterns
• LangChain vs LangGraph Architecture
• Model Context Protocol (MCP)
• MCP Server Integration
• Production API Development
• FastAPI Integration

If you want to become an Agentic AI Developer and build real-world, production-ready AI systems using LangGraph, this course will take you from beginner to advanced, step by step.