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Coding Essentials for You: Getting Started with CURSOR AI with Claude Code

Ideas you've only been thinking about—now AI will complete them with code. Learn the process of implementing ideas into code using Cursor AI and Claude Code. This is a practical AI coding introductory course where even non-majors can complete projects on their own.

(4.7) 3 reviews

25 learners

Level Beginner

Course period 3 months

Cursor AI
Cursor AI
Cursor AI
Cursor AI

What you will gain after the course

  • Learning to build coding environments and collaborate with Cursor AI.

  • Learning GPT API Integration and Prompt Engineering.

  • Full-stack development practice with Next.js and Playwright.

  • AI Sequential Thinking for Test & DB Automation.

AI-Assisted Web Development, Practical Web Service Introduction for Everyone

  • Even difficult projects that are hard to do alone become possible with AI


    From code writing to UI design, learn how to quickly create websites and web services using Cursor AI and GPT API. Go beyond simple feature implementation to directly complete your own services and projects.


  • No need to know coding! Hands-on curriculum learning with AI


    We provide step-by-step guidance so that anyone can follow along even without programming experience, and through hands-on practice, we offer the experience of directly creating results.


💡Increasing demand to create websites or services directly even without development knowledge

The demand for directly implementing web services in startups, business automation, personal projects, and other areas is increasing, but the barrier to entry is high for non-developers. AI coding tools are rapidly spreading, but there are insufficient opportunities to learn "how to utilize them" through hands-on practice.

Data analysis, planning, operations, marketing, and other non-development roles can also leverage AI coding tools to enable work automation and practical service creation. By actually applying the latest tools such as ChatGPT API, Cursor AI, and MCP, we provide project experience that progresses from idea → prototype → service. Through this, you can simultaneously develop AI utilization capabilities and problem-solving skills, which can also be utilized in your future portfolio.


You'll learn this kind of content

This course is an introductory lecture that guides those who need coding through the basic usage of CURSOR AI and Claude Code with conversational practical explanations from two instructors.

From a full-stack developer's perspective, this provides practical insights focusing on real-world application cases and implementation/problem-solving know-how for CURSOR AI and Claude Code.

This is a hands-on screen showing how to interactively create and edit index.html in a VS Code environment using CURSOR AI's Claude Code plugin.

On the left is the extension list, in the center is Claude Code's chat window (command input and file creation log), and on the right is the editor window showing the HTML code currently being edited.

We utilize Google image search results that show examples of dark theme and light theme implementation (toggle UI).

The screen shows toggle designs and demo images from search results in a grid layout, with an enlarged preview of the selected image displayed on the right.

Practice with the OpenWeather website's API·dashboard introduction page (including login success notification).

On the left, you can see the browser bookmarks/tab list, and in the context of the lecture, this page is used as reference material for API key issuance and weather data integration practice.

Explains Excalidraw-style whiteboard integration with Convex DB and MCP-based context (including Next.js 15) along with an overview of MCP architecture.

On the right side, the architecture diagram visually represents the MCP client-server configuration, connections to external services (Slack, email, calendar, etc.) and local data sources, as well as how the Claude host integrates through MCP.

Create a web application that analyzes calories and nutritional components when you upload food photos.

We will create a demo that shows the image generation tool's result list and generated food image previews, allowing simultaneous review of visual results and nutritional analysis by displaying both screens side by side.

Recommended for
these people

Who is this course right for?

  • A beginner developer interested in AI coding tools.

  • A frontend developer looking to start full-stack development.

  • Web developers who want to quickly build Next.js projects.

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Curriculum

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24 lectures ∙ (11hr 48min)

Course Materials:

Lecture resources
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3 reviews

4.7

3 reviews

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