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Build Your "Custom Company AI Assistant" with RAG and LangChain in 1 Hour - Practical Masterclass (Google Gravity)

Stop studying coding syntax! This is an ultra-fast practical course where you chat with AI (Vibe Coding) to build a RAG chatbot that perfectly understands internal company documents in the Google IDX environment and deploy it live on the web in real-time.

5 learners are taking this course

Level Beginner

Course period Unlimited

  • codebridge
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What you will gain after the course

  • Build Your Own Full-Stack AI Service: Master the entire process of building a RAG-based web service that learns from internal security documents or personal materials to provide accurate answers.

  • Acquire AI Command Capabilities: Instead of writing complex code yourself, you'll gain 'vibe coding' competency - a next-generation development paradigm where you complete services by giving sophisticated instructions to AI.


Stop AI Hallucinations! Catch Them with RAG

This course is designed for those who want to learn RAG technology to solve LLM's critical flaw, hallucination,
and build their own AI assistant.


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

When you want to make AI understand internal security documents but feel overwhelmed about where to start

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

Want to quickly create practical results instead of theory?
Open 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 easily and quickly.

Build an AI chatbot based on actual internal documents,
deploy it to the web, and
transform into your own AI assistant expert.





By the end of this course, you will be able to


You will clearly understand LLM hallucination phenomena and be able to present solutions.

  • You will understand the principle of 'hallucination' where AI generates incorrect answers without up-to-date information, and learn why these problems occur through specific examples. You will no longer waste time doubting the accuracy of AI responses.

You can build your own RAG chatbot that answers using your own data.

  • You'll master the entire process of building a RAG-based chatbot that trains LLMs on internal documents, personal materials, and other up-to-date or private data to generate accurate and reliable answers. You'll become a developer who creates your own specialized AI assistant.

Simplify complex AI development processes with LangChain.

  • Instead of complex coding for integrating various LLMs and external data, you'll learn how to efficiently build RAG systems using the powerful tool called LangChain, assembling it like LEGO blocks. You'll acquire 'vibe coding' capabilities that reduce development complexity and quickly produce results.

Gain the ability to deploy AI chatbots to the web in real-time from a practical development environment.

  • Starting from development environments like Google IDX, you'll experience the entire process of building an AI chatbot and deploying it as an actual web service for users. Rather than stopping at theoretical learning, you'll gain competitive advantage as a solo entrepreneur or working planner through the experience of completing 'real working products'.






✔️

Now create your own in-house AI assistant

Building a Custom AI Assistant for Your Company
with RAG and LangChain

This guide covers the entire process of building a RAG-based chatbot that solves the hallucination problem in LLMs and provides accurate answers by learning from internal documents or personal materials. Instead of complex coding, you can quickly complete a working product through 'vibe coding' - giving instructions to AI.

AI Assistant Website

Practical Chatbot Development in Google Gravity IDE Environment

In the Google Gravity IDX environment, you'll build an AI chatbot that understands internal documents using RAG and LangChain, and practice deploying it as a website in real-time. You'll gain hands-on experience creating a fully functional full-stack AI service.

Gravity IDE

Acquire AI Command Skills Based on Vibe Coding

You will acquire 'Vibe Coding' capabilities to precisely instruct AI using cutting-edge AI technologies such as LLM, RAG, and LangChain to obtain desired results. Even those tired of learning coding syntax can quickly gain practical experience in building AI services.

Acquire AI Command Skills Based on Vibe Coding


📚

Building Your Own AI Assistant
Without AI Hallucinations

Introduction to RAG Necessity and LangChain

Section 1

Introduction to RAG Necessity and LangChain

This section explains the operating principles and necessity of RAG (Retrieval-Augmented Generation) to solve the problem of LLM hallucination. It also introduces the role of the LangChain framework, which simplifies complex RAG implementation, and its core components.


Development Environment Setup and Custom Chatbot Building

Section 2

Development Environment Setup and Custom Chatbot Development

This section covers how to set up an actual development environment centered on the Google IDX environment. After that, through the process of obtaining an LLM API key, you will build a custom RAG chatbot capable of question-answering based on internal company documents or personal materials.


AI Assistant Website

Section 3

Web Service Deployment and Improvement of RAG Chatbot

The custom RAG chatbot you've built will be deployed as a website, making it easily accessible and usable for external users. Various methods to improve user experience (UX) will be applied to enhance the completeness of the service.


We can solve these concerns!


📌

Non-majors and solo entrepreneurs in preparation

Those who are tired of theoretical study and want to quickly create 'real working results' but felt lost about 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 in real-time on the web

📌

Current planners and office workers

Those who have been considering implementing internal document automation or a dedicated AI assistant for their team, but lacked knowledge of technical implementation methods
Those who want to acquire 'vibe coding' capabilities, a next-generation development paradigm that completes outputs by instructing AI instead of writing complex code directly

📌

Developers with limited AI service development experience

Those who have struggled with securing AI service reliability due to LLM hallucination issues
Those who want to efficiently build complex RAG systems using frameworks like LangChain




Notes Before Enrollment


Practice Environment

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

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

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

  • LLM, RAG, Artificial Intelligence (AI)

Prerequisites and Important Notes

  • A basic understanding of coding syntax is recommended.

  • Interest in AI technology trends is necessary.

  • The focus is on creating actual deliverables rather than theory.

Learning Materials

  • Lecture slide PDFs are not provided.

  • The class is practice-oriented, so you'll learn by writing code directly.

  • 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 studying theory and want to quickly create 'real working results'.

  • Current planners and office workers who are considering introducing internal document automation or a dedicated AI assistant for their team, but feel overwhelmed about where to start.

Need to know before starting?

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

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

Hello
This is

480

Learners

54

Reviews

16

Answers

4.7

Rating

10

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경력

현) IT 대기업 개발자

서울 4년제 컴퓨터 공학 졸업

 

[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 Seoul 4-year university

Curriculum

All

7 lectures ∙ (47min)

Course Materials:

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