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AI Essentials

Just 1 hour! Building 'My Own AI Mentor' on My Computer (Antigravity Vibe Coding)

No coding knowledge required. Build it instantly in your browser with Google's latest tool (IDX)—no installation needed! Stop studying coding syntax! This is a high-speed practical course where you'll build an RAG chatbot that perfectly understands internal documents through AI conversation (Vibe Coding) in the Google IDX environment and deploy it live to the web.

12 learners are taking this course

Level Beginner

Course period Unlimited

  • codebridge
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

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! Fix them with RAG

I prepared this course for those who want to create their own AI assistant by mastering RAG technology to solve
hallucinations, the fatal flaw of LLMs.


When you need the latest information every time, but the AI only gives irrelevant answers

When you want to make AI understand internal secure documents but feel lost on how to start

When you want to get accurate and reliable answers from AI, but find the actual implementation difficult

Want to quickly build practical results instead of just theory?
Start your own AI era right now with RAG and LangChain.


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

Build an AI chatbot based on actual internal documents
and deploy it to the web to become
an expert in your own AI assistants.




✔️

Build your own internal AI assistant now.

Building 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 LLM hallucination issues and provides accurate answers by utilizing internal documents or personal data. Instead of complex coding, you can quickly complete a functional product through 'vibe coding'—simply giving instructions to the AI.

AI Assistant Website

Practical Chatbot Development in the Google Gravity IDE Environment

In the Google Gravity IDX environment, we will conduct a hands-on session to build an AI chatbot that understands internal documents using RAG and LangChain, and deploy it to a website in real-time. You will gain experience in building a fully functional full-stack AI service yourself.

Gravity IDE

Securing AI orchestration capabilities based on Vibe Coding

You will develop 'Vibe Coding' skills, enabling you to give sophisticated instructions to AI and achieve desired outcomes using the latest AI technologies like LLM, RAG, and LangChain. Even those tired of learning coding syntax can quickly gain hands-on experience in building practical AI services.

Acquiring AI orchestration skills based on Vibe Coding


📚

Building 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

Explains the working principles and necessity of RAG (Retrieval-Augmented Generation) to address the issue of LLM hallucinations. It also introduces the role and core components of the LangChain framework, which simplifies complex RAG implementation.


Setting Up the Development Environment and Building a Custom Chatbot

Section 2

Setting up the development environment and building a custom chatbot

This section covers setting up a real-world development environment centered on Google IDX. Afterward, through the process of obtaining LLM API keys, we will build a custom RAG chatbot capable of answering questions based on internal company documents or personal data.


AI Assistant Website

Section 3

Web Service Deployment and Improvement of the RAG Chatbot

Deploy the custom RAG chatbot as a website to ensure easy access and utilization for external users. Enhance the overall quality of the service by implementing various measures to improve the user experience (UX).


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 build 'real, working results' but felt lost on where to start
Those who want to master the entire process of building a RAG chatbot that perfectly understands internal documents through AI conversation and deploying it live to the web

📌

Current planners and office workers

Those who have been considering internal document automation or introducing a dedicated AI assistant for their team but lacked technical implementation knowledge
Those who want to acquire 'Vibe Coding' skills—the next-generation development paradigm where you complete results by instructing AI instead of writing complex code yourself

📌

Developers with little experience in AI service development

Those who have struggled to ensure the reliability of AI services due to LLM hallucinations
Those who want to efficiently build complex RAG systems using frameworks like LangChain




Things to note before taking the course


Practice Environment

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

  • Development Tools: We recommend a Vibe Coding environment, Google IDX, or VS Code.

  • PC Specifications: 8GB RAM or more is recommended for a smooth development environment.

  • LLM, RAG, Artificial Intelligence (AI)

Prerequisites and Precautions

  • A basic understanding of coding syntax is recommended.

  • An interest in AI technology trends is required.

  • Focuses on creating actual results rather than theory.

Learning Materials

  • Lecture slide PDFs are not provided.

  • As it is practice-oriented, you will learn by writing the code yourself.

  • Learn how to use related 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

505

Learners

61

Reviews

16

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

Curriculum

All

7 lectures ∙ (47min)

Course Materials:

Lecture resources
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$34.10

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