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Just 1 hour! Creating 'My Own AI Senior Developer' to install on my computer (Antigravity Vibe Coding) [Source code provided]

[Source Code Provided] No coding knowledge required. Build it instantly in your browser using Google's latest tool (IDX) without any installation! Stop studying coding syntax! This is an ultra-fast, hands-on course where you'll build an RAG chatbot that perfectly understands internal company documents through AI conversation (Vibe Coding) in the Google IDX environment and deploy it live to the web.

(5.0) 6 reviews

30 learners

Level Beginner

Course period Unlimited

Python
Python
AI
AI
LLM
LLM
LangChain
LangChain
RAG
RAG
Python
Python
AI
AI
LLM
LLM
LangChain
LangChain
RAG
RAG

Reviews from Early Learners

Reviews from Early Learners

5.0

5.0

kyujong.roh

100% enrolled

I was hesitant to use external AI due to security concerns, but by learning how to build my own AI mentor in a local environment, I have established clear practical guidelines.

5.0

daniel.na

100% enrolled

I kept getting messages saying the Gemini API limit was exceeded, so I used ChatGPT instead. I'm happy that I was able to produce clean results within an hour. I'm looking forward to the next lecture.

5.0

tata

71% enrolled

The lectures are short and concise, which is great. The big advantage is that you can deploy your own AI assistant on the web with just an hour or two of investment over the weekend. Even non-majors can easily follow along.

What you will gain after the course

  • Your Own Full-Stack AI Service: Master the entire process of building a RAG-based web service that provides accurate answers by learning from internal confidential documents or personal data.

  • Mastering AI orchestration: You will acquire 'Vibe Coding' capabilities—a next-generation development paradigm where you complete services by giving sophisticated instructions to AI instead of writing complex code yourself.


No more AI hallucinations! Catch them with RAG

I have prepared this course for those who want to master RAG technology, which solves the critical LLM flaw of hallucinations,
and create their own AI assistant.


When you need up-to-date information every time, but the AI only gives irrelevant or incorrect answers.

When you want to make AI understand internal security documents, but feel overwhelmed and don't know where to start

When you want to get accurate and reliable answers from AI, but feel that the actual implementation is difficult.

Do you want to create practical results quickly instead of just learning theory?
Start your own AI era right now with RAG and LangChain.


From AI hallucinations
to the necessity of reflecting the latest information, grasp the core principles of RAG
quickly and easily.

Build an AI chatbot based on actual internal company documents, deploy it to the web, and become a personal AI assistant expert.






✔️

Build your own in-house AI assistant now.

Creating a Custom AI Assistant for Our Company
with RAG and LangChain

We guide you through the entire process of building a RAG-based chatbot that solves the problem of LLM hallucinations and provides accurate answers by learning from internal company documents or personal data. Instead of complex coding, you can quickly complete a functional product using 'Vibe Coding'—the method of simply giving instructions to the AI.

AI Assistant Website

Practical Chatbot Development in the Google Gravity IDE Environment

In the Google Gravity IDX environment, you will participate in a hands-on session to build an AI chatbot that understands internal documents using RAG and LangChain, and deploy it as a live website. You will gain experience in creating a fully functional, full-stack AI service.

Gravity IDE

Acquiring AI Command Capabilities Based on Vibe Coding

By utilizing the latest AI technologies such as LLM, RAG, and LangChain, you will acquire 'Vibe Coding' capabilities—the skill of giving sophisticated instructions to AI to achieve desired outcomes. Even those tired of studying coding syntax can quickly gain practical experience in building actual AI services.

Acquiring AI orchestration capabilities based on Vibe Coding


📚

Build your own AI assistant
without AI hallucinations

The Necessity of RAG and Introduction to LangChain

Section 1

The Necessity of RAG and Introduction to LangChain

This explains the working principles and necessity of RAG (Retrieval-Augmented Generation) to solve the problem of LLM hallucinations. Additionally, it introduces the role and core components of the LangChain framework, which simplifies complex RAG implementations.


Setting up the development environment and building a customized chatbot

Section 2

Setting up the development environment and building a customized chatbot

This covers how to set up an actual development environment, focusing on the Google IDX environment. Afterward, it guides you through the process of issuing an LLM API key to build a customized RAG chatbot capable of answering questions based on internal company documents or personal materials.


AI Assistant Website

Section 3

Web Service Deployment and Improvement of RAG Chatbot

Deploy the built custom RAG chatbot as a website so that external users can easily access and utilize it. Apply various measures to improve the user experience (UX) to enhance the overall quality of the service.


We can solve the concerns of
people like this!

📌

Non-majors and aspiring solo entrepreneurs

Those who are tired of theoretical study and want to quickly create a 'real working product' but feel overwhelmed about where to start
Those who want to master the entire process of building an RAG chatbot that perfectly understands internal documents through AI conversation and deploying it in real-time to the web

📌

Current planners and office workers

Those who are considering automating internal documents or introducing an AI assistant dedicated to their team, but lack knowledge on technical implementation methods
Those who want to acquire "Vibe Coding" skills—a next-generation development paradigm where you complete projects by instructing AI instead of writing complex code yourself

📌

Developers with little experience in AI service development

Those who have had difficulty ensuring the reliability of AI services due to LLM hallucination issues
Those who want to efficiently build complex RAG systems using frameworks such as LangChain




Notes before taking the course


Hands-on Environment

  • Operating System: Windows, macOS, and Linux are all supported.

  • Development Tools: Vibe Coding environment, Google IDX, or VS Code are recommended.

  • PC Specifications: At least 8GB of RAM is recommended for a smooth development environment.

  • LLM, RAG, Artificial Intelligence (AI)

Prerequisite Knowledge and Notices

  • It is helpful to have a basic understanding of coding syntax.

  • An interest in AI technology trends is required.

  • We focus on creating actual results rather than theory.

Learning Materials

  • Lecture slide PDFs are not provided.

  • Since the course is practice-oriented, you will learn by writing the code yourself.

  • Learn how to use relevant open-source libraries (such as LangChain).


Recommended for
these people

Who is this course right for?

  • Non-majors and aspiring solo entrepreneurs who are tired of theoretical study and want to quickly build 'real, working results.'

  • Planners and professionals who are considering internal document automation or implementing a dedicated AI assistant for their team, but feel lost on where to start.

Need to know before starting?

  • The absolute basics of Python: It's enough if you've just heard of what variables and functions are.

  • Google Account: Please prepare only a Google account to use Google IDX and the Gemini API.

Hello
This is codebridge

550

Learners

71

Reviews

20

Answers

4.7

Rating

10

Courses

I am fascinated by development that breaks down the boundaries between platforms, and I am currently creating related lectures. I look forward to working with you!

Experience

Current) Developer at a major IT corporation

Graduate of a 4-year Computer Science program in Seoul

[Eng] I am fascinated by development that breaks down barriers between platforms and am creating related lectures. Thank you for your support! YouTube: https://youtube.com/channel/UChmHjzyYedu9yYb3YmnOOog?si=xM1HueA3TJ4BjnV3 Inquiries: codebridge747@gmail.com Experience: Current) Developer at a major IT corporation, Graduated with a 4-year Computer Science degree in Seoul

[Eng]

I am fascinated by development that breaks down barriers between platforms and am creating related lectures. Thank you for your support!

YouTube: https://youtube.com/channel/UChmHjzyYedu9yYb3YmnOOog?si=xM1HueA3TJ4BjnV3

Contact: codebridge747@gmail.com

Experience

Current) Developer at a major IT corporation

Bachelor's degree in Computer Engineering from a 4-year university in Seoul

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Reviews

All

6 reviews

5.0

6 reviews

  • donghynuncho님의 프로필 이미지
    donghynuncho

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    • tata님의 프로필 이미지
      tata

      Reviews 6

      Average Rating 5.0

      5

      71% enrolled

      The lectures are short and concise, which is great. The big advantage is that you can deploy your own AI assistant on the web with just an hour or two of investment over the weekend. Even non-majors can easily follow along.

      • codebridge
        Instructor

        Thank you for taking the course. ☺️ I will continue to create many more informative lectures in the future.

    • kyujongroh1518님의 프로필 이미지
      kyujongroh1518

      Reviews 10

      Average Rating 5.0

      5

      100% enrolled

      I was hesitant to use external AI due to security concerns, but by learning how to build my own AI mentor in a local environment, I have established clear practical guidelines.

      • codebridge
        Instructor

        Thank you for taking the course! I'm glad to hear it was helpful. As mentioned during the lecture, if you want to further strengthen security, please keep in mind that there is also a way to run LLMs in a local environment. 😊

    • s1education8983님의 프로필 이미지
      s1education8983

      Reviews 3

      Average Rating 5.0

      5

      38% enrolled

      • codebridge
        Instructor

        Thank you for taking the course. ☺️ I will continue to create many more informative lectures in the future.

    • danielna5496님의 프로필 이미지
      danielna5496

      Reviews 3

      Average Rating 5.0

      5

      100% enrolled

      I kept getting messages saying the Gemini API limit was exceeded, so I used ChatGPT instead. I'm happy that I was able to produce clean results within an hour. I'm looking forward to the next lecture.

      • codebridge
        Instructor

        Thank you for taking the course!! I will be back with more informative and interesting topics in the next lecture.

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