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AI Development

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AI Agent Development

Made in RAG(Local LLM QA System) With Docker + ollama + R2R

In just 2 hours of hands-on practice, we build a local LLM with RAG-based QA system using the Docker + ollama + R2R framework. (Internal/in-house QA systems, personal portfolios, AI-powered work capabilities, and even commercial services are possible.)

(5.0) 1 reviews

11 learners

  • kojeomstudio
실습 중심
Docker
AI
wsl
LLM

What you will learn!

  • You will learn how to operate an LLM locally.

  • Implementing the fabled AI Q&A system locally.

  • Build an AI Q&A system based on specific domain knowledge.

  • You will learn how to build a Docker-based AI system.

  • You will learn how to utilize AI open source projects.

  • An in-house/internal local (or generative AI API) LLM-based RAG system will be implemented.

  • One step closer to realizing AI systems that felt distant.

  • I learn about 'ollama', the ultimate LLM open framework.

I want to create an LLM-based QA system... How do I do it?

AI technology development feels endlessly difficult!

1) We invite you to the world of AI with a local LLM QA system using Docker, ollama, and R2R frameworks!

2) Quickly and lightly learn AI infrastructure technology and open source projects applicable to practical use!

3) On-premise deployment is possible without worrying about security even for in-house/in-house use !

Features of this course

📌 After taking the course, build an in-house Local and commercial LLM-based RAG system that can be used in practice right away!

📌 You can develop a sense of open source projects related to artificial intelligence (AI).

📌 You will have the opportunity to develop and utilize AI technology that seems far away.

📌 You will experience infrastructure and operating system concepts such as Docker and WSL, which are required for artificial intelligence (AI) technology infrastructure.

I recommend this to these people

I want to try utilizing AI and artificial intelligence technology in my company.

A programmer who wants to try out AI, which he has heard about here and there, but doesn't know where to start!

I would also like to add AI experience to my programmer portfolio~
Programmers and job seekers who are secretly afraid because they have never used related technologies in the AI era!

I'm curious about AI-related open source projects!
Developers who are curious about how to use relevant open source projects in the AI era!

After class

  • Before you know it, you will find yourself taking a step forward in utilizing AI technology.

  • You will make a name for yourself as a developer who builds AI systems in-house.

  • You will find yourself surprised and thinking, “AI development is so close!?”

  • You will gain a deeper understanding of artificial intelligence and the concept of AI.

  • You will learn the concepts and usage methods required for infrastructure such as WSL and Docker.

  • Learn about AI Q&A systems through LLM-based RAG systems.

Learn about these things.

Convenient embedding work through R2R dashboard

Conveniently embedding domain knowledge required for QA systems.

Building an LLM-based QA system that feels distant!

Experience the LLM QA system built on ollama, docker, and wsl!

Who created this course

  • Currently a Honmono programmer at a large corporation, game company N.

  • People interested in systems/programming/game development/DevOps/subculture/drawing.

  • A person who firmly believes that AI and subculture will change the world.


  • A person who believes that the seeds of true growth lie in mistakes and failures.

Things to note before taking the class

Practice environment

  • The lecture will be conducted based on Windows 10.

  • You will be using a Linux kernel-based virtual machine provided on Windows (WSL).

  • After installing the Docker system on WLS, you can use it.

Learning Materials

Recommended for
these people

Who is this course right for?

  • Programmer wanting to try implementing an AI system

  • Aspiring programmer looking to build an AI system portfolio

  • Programmer who wants to build an in-house, specific domain-based AI Q&A system

  • Person looking to run LLM locally.

  • Programmer wanting to ride the AI wave

  • Developers aspiring to build Docker-based AI systems

  • AI open-source project novice

  • Programmer eager to apply AI open-source projects in practice

Need to know before starting?

  • Docker

  • Basic Concepts of LLM

  • Desire and will to enhance AI proficiency

  • AI system infra build interest

  • Interest in open source projects

Hello
This is

946

Learners

26

Reviews

4.8

Rating

4

Courses

 

 

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※ 현재 대기업 게임 N사에서 프로그래머로 살고 있습니다.

※ 시스템/게임 개발/프로그래밍/데브옵스/드로잉/서브컬처/AI에 관심이 많습니다.

※ 서브컬처와 AI가 세상을 바꿀 수 있다고 믿고 있습니다.

※ 깃허브 >> https://github.com/kojeomstudio

※ 도커 허브 >>https://hub.docker.com/repositories/kojeomstudio

 

Curriculum

All

7 lectures ∙ (1hr 47min)

Published: 
Last updated: 

Reviews

All

1 reviews

5.0

1 reviews

  • kaciaryu9603님의 프로필 이미지
    kaciaryu9603

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    $59.40

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