LangGraph in Action: Develop Advanced AI Agents with LLMs

LangGraph in Action: Develop Advanced AI Agents with LLMs

Master the Fundamentals of AI Agents with LangGraph

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What you'll learn

• Understand the core functions and concepts of LangGraph, including nodes, edges, and checkpointers
• Develop an AI agent with LangGraph that effectively uses both short-term and long-term memory
• Implement advanced multi-agent workflows and subgraphs for handling complex real-world scenarios
• Build production-ready AI agents using FastAPI, Docker, and unit testing for maintainable workflows

What to Expect from This Course

Welcome to LangGraph in Action, your ultimate guide to mastering the design and deployment of advanced AI agents using LangGraph. 

In this course, you’ll explore the fundamentals of building modular, scalable, and production-ready agents, all with a hands-on approach. From understanding the basics of LangGraph’s state-based design to creating a full-stack application, you’ll gain the skills needed to bring AI agents to life.

By the end of the course, you’ll not only have a strong theoretical understanding but also the practical skills to deploy AI agents anywhere, entirely with open-source tools. 

Whether you're a developer aiming to stay ahead of the curve or a seasoned engineer looking to expand your AI toolkit, this course equips you for the rapidly growing field of AI agents.

With the increasing adoption of AI agents in real-world applications, this course ensures you're prepared to design, build, and deploy advanced systems that solve practical challenges. 

Let’s start building and shaping the future of AI together!