LangGraph- Develop LLM powered AI agents with LangGraph
What you'll learn
- Become proficient in LangGraph
- Implement Advanced Agents
- Have end to end working LangGraph based generative AI agents
- Understand how to navigate inside the LangGraph opensource codebase
- LangGraph Ecosystem: LangGraph Studio/ IDE, LangGraph Cloud API, LangGraph Cloud Managed Service
Requirements
- This is not a beginner course. Solid software engineering concepts are needed
- I assume students will be familiar software engineering subjects such as: LangChain, git, python, pipenv, environment variables, classes, testing and debugging
Description
Welcome to first LangGraph Udemy course - Unleashing the Power of LLM Agents!
This comprehensive course is designed to teach you how to QUICKLY harness the power the LangGraph library for LLM agentic applications.
This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM Agents solutions for a diverse range of topics.
Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python & LangChain. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts .
The topics covered in this course include:
LangChain
LCEL
LangGraph
Agents
Multi Agents
Reflection Agents
Reflexion Agents
LangSmith
CrewAI VS LangGraph
Advanced RAG
Corrective RAG
Self RAg
Adaptive RAG
GPT Researcher
LangGraph Ecosystem:
LangGraph Studio / LangGraph IDE
LangGraph Cloud API
LangGraph Cloud Managed Service
Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangGraph to create powerful, efficient, and versatile LLM applications for a wide array of usages.
This is not just a course, it's also a community. Along with lifetime access to the course, you'll get:
Dedicated troubleshooting support with me
Github links with additional AI resources, FAQ, troubleshooting guides
No extra cost for continuous updates and improvements to the course
DISCLAIMERS
Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python.
I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.
Who this course is for:
- Software Engineers that want to learn how to build Generative AI based applications with LangChain
- Backend Developers that want to learn how to build Generative AI based applications with LangChain
- Fullstack engineers that want to learn how to build Generative AI based applications with LangChain
Instructor
- 4.6 Instructor Rating
- 34,787 Reviews
- 136,397 Students
- 9 Courses
I’m a passionate Software Engineer with years of experience in back-end development and cloud architecture. I was one of the first engineers at Orca Security, where I helped shape the company’s core technology, and today I work as a GenAI Architect at Google Cloud, helping organizations design and deploy advanced generative AI and cloud-native solutions.
I’m also proud to be a LangChain Ambassador, actively contributing to the open-source community and helping developers build powerful LLM applications using the LangChain ecosystem.
I hold a Bachelor’s degree in Computer Science from the Technion, and I’ve always had a deep passion for teaching and mentorship. I taught Functional Programming and Introduction to Computer Science at Reichman University, where I guided the next generation of software engineers.
My courses are built on real-world experience and designed to give you practical, production-ready skills—whether you’re just getting started or looking to level up.