LangGraph in Action: Develop Advanced AI Agents with LLMs
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Udemy Coupon Code for LangGraph in Action: Develop Advanced AI Agents with LLMs Course. Master the Fundamentals of AI Agents with LangGraph
Created by Markus Lang | 3.5 hours on-demand video course
LangGraph Course Overview
LangGraph in Action: Develop Advanced AI Agents with LLMs
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.
Course Highlights
- State-Based Design: Dive into LangGraph’s core philosophy of nodes and edges to create structured, maintainable agents.
- Memory Management: Explore short-term memory with checkpointers and long-term memory with the Store object to enable agents that adapt and learn.
- Advanced Workflows: Build human-in-the-loop systems, implement parallel execution, and master multi-agent patterns.
- Production-Ready Development: Learn asynchronous operations, subgraphs, and create full-stack applications using FastAPI and Docker.
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!
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
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LangGraph in Action: Course Reviews
Everything You Need to Know About LangGraph in Action: Develop Advanced AI Agents with LLMs
This course is a comprehensive and well-structured introduction to LangGraph in Action: Develop Advanced AI Agents with LLMs. The instructor, Markus Lang is a leading expert in the field with a wealth of experience in IT & Software to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to LangGraph. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning LangGraph in Action: Develop Advanced AI Agents with LLMs. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
