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[Premium] Creating Web Services Through AI Conversations
codingai
I created 3 services in 3 months conversing with AI. Without needing developers or coding, build practical web services with AI.
Beginner
Google Analytics, Google Sheets, cursor
No more waiting on the dev team, I'll build it myself! This course helps practical staff (e.g., in planning, marketing, sales) to directly implement core web service functions using AI tools, without developer assistance.
How to Use Cursor in Website Development
How to Use ChatGPT for Data Preprocessing and SQL Writing
FastAPI Usage: A Python Web Framework
Now is an era where anyone can turn their ideas directly into web services with just AI tools and a bit of know-how. This course is designed for non-development professionals such as planners, marketers, sales personnel, and data analysts to plan and implement web services directly through vibe coding using ChatGPT and Cursor. Through this course, don't just stop at writing proposals—experiment with web services you've built yourself, communicate, and experience execution-focused communication. Your practical skills will definitely take a leap to the next level.
Current AI tools may not reach the level of skilled developers, but they are sufficient for planners, marketers, and data analysts to quickly implement and experiment with the features and interfaces they want.
As a service planning and data analysis practitioner myself, I have experience using Cursor and ChatGPT to plan and develop a service in just two days, conduct testing with actual users, reflect improvements, and complete a formal request to the development team.
This course is not just a technical lecture, but provides an experience that can transform your ideas into actionable services and dramatically improve workplace communication.
Now, try creating the service first, before the planning document.

A working professional who wants to directly implement and test their ideas as web services

Students curious about development using Cursor and ChatGPT

Those who want to use LLM to develop data preprocessing, SQL tasks, or backend APIs
This course covers the process of planning ideas and developing services based on two main practical exercises.
Both exercises implement web services using Python FastAPI. (Please check the links below.)
Exercise 1. South Korea Suicide Statistics Dashboard (Go to link)
Exercise 2. South Korea Festival Information Service (Go to link)
This is a hands-on practice session where we preprocess Statistics Korea KOSIS suicide rate data using ChatGPT and create an interactive dashboard through Cursor.
Preprocessing Complex Data Using ChatGPT
Statistics Korea KOSIS data requires preprocessing because it's difficult to apply directly to dashboards. What used to be quite difficult and time-consuming preprocessing can now be easily performed with ChatGPT.
Implementing Chart Web Pages that Change Dynamically Based on Conditions
You're curious about how suicide rates differ by region, and when broken down by gender and age, which groups are high-risk, right? You can implement dynamically changing charts using toggles or select boxes.
We will develop a backend API that displays real-time event information by local government using the Korea Tourism Organization event API from the Public Data Portal, and implement a frontend web service for event information.
Writing Database SQL Statements Using ChatGPT
Even field staff who are not familiar with SQL statements can easily generate SQL by querying ChatGPT for SQL statements once they have clear data defined for the service they want to create.
Creating Backend APIs for Event Information with FastAPI
You can easily develop a FastAPI-based backend server by utilizing the Public Data Portal's tourism information API documentation, API testing features, and Cursor's Agent functionality.
Development of a webpage that provides regional events and detailed information
We will create a web page that communicates with a backend API server to display a list of events for each region using a calendar UI. When you click on the event list in the calendar or the card list at the bottom, you can view detailed information about each event.
We are pleased to inform you about Inflearn's 30% discount event for AI courses.
Currently, AI courses are on discount at Inflearn, and this course is also 30% off.
2015 ~ 2025: Data analysis specialist and web service planning work at companies and public institutions
The lectures are explained based on Windows.
Cursor (as of the end of May 2025) has introduced restrictions on Claude model usage for free users, which means while you can follow along with the exercises, it may be difficult to use smoothly.
ChatGPT, Supabase (as of the end of May 2025) has no issues performing the exercises even when using the free version.
Python can run without any issues on version 3.11 or higher.
I'll provide it as a Notion link!
This course is a hands-on, practice-centered class where you learn by following along directly, so complex theory isn't necessary.
However, if you know the following content, you'll be able to follow along much more easily:
Functions of HTML, CSS, and JavaScript on the Web
Python's Basic Syntax
Basic concepts of what databases and SQL are
Who is this course right for?
Those who want to create a website based on their own ideas
Those who want to code using AI
Need to know before starting?
Python Basic Syntax and Package Installation
Basic understanding of HTML, CSS, and Javascript
155
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안녕하세요.
저는 11년차 데이터분석 업무를 하고 있는 '개발하는 분석가'입니다.
2025년 1월부터 바이브코딩을 접하면서 AI를 활용한 개발을 시도하면서 삶에 많은 변화가 일어나고 있습니다.
현업이 개발을 했을 때, 생산성이 크게 증가하는 경험을 하고 있습니다.
이런 경험을 바탕으로 이번에 관련 강의를 만들었습니다.
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