| File Name: | LangGraph for Developers: From Zero to Hero |
| Content Source: | https://www.udemy.com/course/langgraph-for-developers-from-zero-to-hero/ |
| Genre / Category: | Ai Courses |
| File Size : | 3.6 GB |
| Publisher: | Arnab Das |
| Updated and Published: | February 20, 2026 |
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.
DOWNLOAD LINK: LangGraph for Developers: From Zero to Hero
LangGraph_for_Developers_From_Zero_to_Hero.part1.rar – 1000.0 MB
LangGraph_for_Developers_From_Zero_to_Hero.part2.rar – 1000.0 MB
LangGraph_for_Developers_From_Zero_to_Hero.part3.rar – 1000.0 MB
LangGraph_for_Developers_From_Zero_to_Hero.part4.rar – 611.8 MB
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