Udemy – LangGraph in Action: Develop Advanced AI Agents with LLMs 2025-1
Udemy – LangGraph in Action: Develop Advanced AI Agents with LLMs 2025-1

LangGraph in Action: Develop Advanced AI Agents with LLMs. This comprehensive course teaches you how to build advanced, customizable AI agents using LangGraph. We’ll start with the basics of LangGraph state-based design and help you create agents that can learn and adapt to different situations. You’ll also learn how to use LangGraph to build complex, production-ready applications. By taking this course, you’ll be able to create powerful AI agents that can solve complex problems and make intelligent decisions.
What you will learn:
- Deep understanding of LangGraph: Thorough understanding of core LangGraph concepts such as nodes, edges, and checkpoints
- Intelligent agent development: Building an agent that can effectively use short-term and long-term memory.
- Advanced workflow implementation: Build complex workflows using multiple agents and subgraphs
- Production-ready agent development: Using FastAPI, Docker, and unit testing to build maintainable agents
Who is this course suitable for?
- Experienced Software Engineers at LangChain: People who want to enter the world of AI agents.
Course Details LangGraph in Action: Develop Advanced AI Agents with LLMs
- Publisher: Udemy
- Instructor: Markus Lang
- Training level: Beginner to advanced
- Training duration: 3 hours and 23 minutes
- Number of lessons: 45
Course topics
Prerequisites for LangGraph in Action: Develop Advanced AI Agents with LLMs
- Intermediate Python Skills (OOP, Datatypes, Functions, modules etc.)
- LangChain Basics
- Basic Terminal and Docker knowledge
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
1.7 GB