LangGraph in Action: Develop Advanced AI Agents with LLMs
Learn AI agent fundamentals with LangGraph! Build powerful applications using LangChain and graph-based AI. Get started with agent development today.
Course Content
LangGraph in Action: Develop Advanced AI Agents with LLMs is an intermediate-level Udemy course taught by Markus Lang. It runs 3h 25m, is taught in English, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 417 reviews, with 3,649 students enrolled. It is a paid course, last updated July 2025.
LangGraph in Action: Build Advanced AI Agents with LangGraph
Welcome to LangGraph in Action, the definitive guide to designing and deploying sophisticated AI agents using the powerful LangGraph framework. This course provides a comprehensive, hands-on exploration of building modular, scalable, and production-ready AI agents. You'll master the skills necessary to bring intelligent agents to life, from foundational concepts to full-stack application development.
Key Skills You'll Gain:
- State-Based Design: Understand and leverage LangGraph's core architecture, built around nodes and edges, to create well-structured and easily maintainable AI agent systems. Learn how this approach simplifies complex AI agent development.
- Memory Management: Implement robust memory management strategies for your AI agents. Explore short-term memory using checkpointers and long-term memory with the Store object, enabling agents to adapt, learn, and retain crucial information.
- Advanced Workflows: Develop sophisticated AI agent workflows including human-in-the-loop systems, parallel execution for faster processing, and advanced multi-agent patterns to create collaborative AI systems.
- Production-Ready Development: Learn best practices for production-ready AI agent development. Master asynchronous operations, utilize subgraphs for code reusability, and deploy your AI agents using FastAPI and Docker for seamless integration.
By the end of this course, you'll possess both a strong theoretical foundation and practical expertise to deploy AI agents across various environments, utilizing entirely open-source tools. Whether you are a developer looking to enhance your skillset or a seasoned engineer expanding your AI toolkit, this course prepares you for the rapidly evolving field of AI agents.
With the growing demand for AI agents in real-world applications, this course equips you to design, build, and deploy advanced systems that address real-world problems. Join us and let's collaborate to shape the future of AI!
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