Class introduction

AI chatbots play an important role in increasing work productivity and automation not only in IT jobs but also in various fields. Understand basic LLM concepts such as ChatGPT and create your own chatbot using your own data.

Course materials

https://github.com/mintiecloud/rag-chatbot-guide

Subject and configuration

What is an LLM? How does ChatGPT work?
The concept and necessity of RAG (Retrieval-Augmented Generation)
Build your own chatbot that learns your data
Chatbot UI creation using Streamlit

planning background

Many people use AI chatbots such as ChatGPT, but I don't think they have enough experience creating custom chatbots using their own data.
Now, even if you're not in an IT position, you need to know how to use an LLM to improve work productivity and adapt to a changing environment. However, there are parts of traditional AI courses that are difficult to follow because they are too difficult or are structured around services that incur costs, such as AWS.
Demand for learning AI chatbots that can be applied to practice without complicated development knowledge is increasing, so we have created courses suitable for this.

Target students

People who have used ChatGPT but want to create a custom AI chatbot that suits them
People who lack development experience but want to build their own RAG-based chatbot
Practitioners who want to create a chatbot that can automate document search and response
People interested in AI-based search and service development using LLM

Course effect

Easy to understand the basic principles of LLM and RAG
You can build your own RAG chatbot that learns your data
Python can be used to handle simple LLM models
Easily create chatbot websites using Streamlit

Difficulty level and player knowledge

(Required) Python basic syntax
(Optional) AI, machine learning experience
(Optional) Data preprocessing and basic vector search concepts

Final results (something you can make after taking the course)

A chatbot that learns your own data
A chatbot that searches for and answers the right documents to user questions
AI chatbot with Streamlit web UI

Course target

Developers and practitioners who want to try LLM firsthand
People who want to build a document-based chatbot within the company
People who want to use the ChatGPT API and apply it in practice
People interested in developing services that combine search and AI technology

RAG-based AI chatbot development applied directly in practice

RAG-based AI chatbot development applied directly in practice