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
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
LangGraph Cloud
CrewAI VS LangGraph
Advanced RAG, Corrective RAG, Self RAG, Adaptive RAG
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.
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
Github repo for course:
[ Ссылка ]
Udemy Coupon:
[ Ссылка ]
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