LangGraph- Develop LLM powered AI agents with LangGraph

Learn LangGraph by building FAST a real world LLM AI Agents (Python)

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

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