AI-Based Full-Stack Development Practical Track for Beginners (Junior Level) - Master in One Day

📋Full-Stack Development with AI Practical Track for Beginners (Junior Level) - Master in One Day

"Extract code with Copilot and deploy to Vercel — A practical track to understand in just one day!"

Junior developers will experience a complete cycle of applying AI assistant tools directly to practical work, from prototype creation → code writing → deployment → validation, while also developing habits for testing, security, and ethics. Throughout this process, they will learn all at once how to use AI assistant tools like Copilot and ChatGPT for rapid prototyping, CRUD skeleton generation, cloud deployment, and validation, security, and ethics checking methods.

📋With AI adoption changing the development field, developers' roles need to evolve.

Full-stack·AI convergence role enhancement.

McKinsey analyzes that "the traditional division of labor model will shift to focus on full-stack engineers (who perform AI, strategy, and development all together)." This includes planning, prototyping, and writing code frameworks.

McKinsey & Company (https://www.mckinsey.com.br/en/capabilities/mckinsey-digital/our-insights/enterprise-technologys-next-chapter-four-gen-ai-shifts-that-will-reshape-business-technology?utm_source=chatgpt.com)

Prompt engineering and agent supervision.

As AI replaces simple coding and testing tasks, developers (especially senior-level or middle management) are expected to take on supervisory roles such as 'agent' performance verification, ethics and security checks, AI output sample reviews, and AI utilization optimization.

Deloitte (https://www.deloitte.com/us/en/insights/topics/talent/human-capital-trends/2025/future-of-the-middle-manager.html?utm_source=chatgpt.com)

📋Now is the era when full-spectrum developers are needed

As you can see from the previous article, developers now need to go beyond just 'programming' and become developers who encompass AI utilization planning, strategy, and validation capabilities. While this type of developer can be expressed in various ways, I propose the term 'Full-Spectrum Developer'.

• AI-Flagship Engineer

  • Meaning: Emphasizes the 'flagship (representative)' role of leading the entire process of AI planning, development, and operation

    
    

• AI Full-Spectrum Engineer

  • Meaning: Covers the entire 'spectrum' from planning → prototyping → development → validation

    
    

• T-Shaped AI Engineer

  • Meaning: Possessing both deep AI and coding capabilities (vertical axis) and broad strategic and communication competencies (horizontal axis) simultaneously

    
    

• AI Augmented Developer

  • Meaning: Emphasizes the point of 'augmenting' one's capabilities through collaboration with AI

    
    

• AI Product Engineer

  • Meaning: Designing the entire lifecycle of AI-based products (planning→deployment→monitoring), not just simple code writing

📋Competencies Required for Full-Spectrum Developers

With the ability to develop using artificial intelligence, the scope of developers' capabilities has greatly expanded. The competencies required for full-spectrum developers we examined earlier must encompass almost all development processes.

• 1. Planning and Strategic Development Capabilities

  • Learn how to understand the value of projects and integrate AI into organizational strategy

  • Product planning, market analysis, roadmap design, and overall product strategy development

• 2. Prototyping·UX·Design Capabilities

  • Design thinking for discovering user needs and rapid prototype creation

  • Wireframe creation, interaction design, user testing methodology

• 3. AI Model Development and Prompt Engineering Capabilities

  • Deep learning fundamentals from basic theory to core model learning including CNN, RNN, and Transformers

  • Techniques for Effectively Designing and Tuning Generative AI and Conversational Agents

• 4. Full-Stack Development Capabilities

  • Creating Web Applications with React·Node.js·Express·MongoDB

  • Microservice design, Docker/Kubernetes deployment, automated pipeline construction

• 5. Deployment, Operations, and MLOps Capabilities

  • Model serving, monitoring, scaling, reproducibility assurance, and other operational automation

  • AWS-based CI/CD implementation, Infrastructure as Code

• 6. Validation, Ethics, and Security Capabilities

  • Ethical design of AI systems, data privacy and fairness verification

  • Cloud Security Best Practices, IAM & Network Security Design

All the topics covered here are fields that require considerable knowledge. That's why we've prepared this. We've compressed the content that junior programmers must know from these topics so you can comprehensively understand it in one day and practice it all on your own within 2 hours. In this course, we organize these six major topics into sections and deliver core knowledge related to the subtopics. Through this, you will be able to enter full-spectrum development.

📋Key Learning Objectives (Expected Outcomes After Completion)

• You can quickly generate prototypes and CRUD skeletons using AI assistant tools.

• You can secure basic reliability of Copilot/ChatGPT outputs through a 60-90 second verification routine.

• You can understand the basic flow of Docker, Vercel, and GitHub Actions, and perform simple deployments yourself.

• You can apply minimum checks on code, test, and prompt outputs from security, license, and ethics perspectives.

  
  

📋 Essential Prerequisites

• 1. JavaScript Basic Syntax

  • Variables/functions/conditionals/loops, array·object manipulation, basic asynchronous (async/Promise) concepts.

  • Verification method: Ability to write simple functions (e.g., array filter/map).

• 2. HTML·CSS (Basics)

  • Basic tag structure, form elements, and simple style application (using classes).

  • Verification method: Create a simple static page.

• 3. Basic Git·GitHub Usage

  • Understanding how to create commits, branches, push/pull, and PR (simple) methods.

  • Verification method: Create repository → Commit → Push to GitHub.

• 4. Terminal (Command Line) Basics

  • 디렉터리 이동, 파일 생성·삭제, 간단한 명령 실행(예: [[CODE_1]]node[[/CODE_1]], [[CODE_2]]npm[[/CODE_2]]) 가능.

  • Verification method: Run a simple script with node locally.

• 5. HTTP/REST Basic Concepts

  • Understanding the meaning of GET/POST/PUT/DELETE, requests and responses (status codes, JSON).

  • Verification method: Try making simple API calls with curl or a browser.

📋 Recommended Prerequisites (Enhances lecture practice and effectiveness)

• 6. Node.js·npm usage experience (basic)

  • Understanding the flow of npm init, npm install, node app.js.

    
    

• 7. Simple React Basics (Optional)

  • Components, state, and event handling basic concepts (not required but advantageous for hands-on practice).

  • Verification method: Create small components using create-react-app or CodeSandbox.

• 8. Understanding basic backend concepts (Express, etc.) (Optional)

  • Basic roles of routes and middleware (covered in the course).

  • Verification method: Running a simple express server locally.

• 9. Basic Testing Concepts

  • Purpose of unit testing, awareness of testing frameworks (e.g., jest, pytest).

  • Verification method: Run one existing test.

• 10. Environment Variables·.env Concept and .gitignore Usage Habits

  • Understanding the practice of not putting secrets in code.

  • Verification method: Create a simple .env file and register it in .gitignore.

📋 Good to Know Prerequisites (Helpful for Advanced Learning/Quick Adaptation)

• 11. Docker Basic Concepts (Image vs Container) — Practice Convenience↑

• 12. Basic CI/CD Concepts (Understanding GitHub Actions Workflows)

• 13. Experience creating cloud deployment (Vercel, etc.) accounts — Easy to follow deployment demos

• 14. Basic Security & Authentication Concepts (Tokens, OAuth, API Keys) — Smooth Verification & Operations

• 15. AI tool usage experience (ChatGPT, GitHub Copilot, etc.) — Not required

📋 Recommended 'Immediate Verification' Tasks

Check your skills by investing 1-5 minutes on each item listed below. If you can follow along with these items, you're ready to take this course. If you find it difficult to follow along, ask an AI like ChatGPT. Also, take a look at the 'Prerequisites Summary' content below.

• JS: Write simple map/filter functions and run with Node (1-3 minutes).

• Git: Modify files locally → Commit → Push to GitHub (3-5 minutes).

• HTTP: Make a curl request to a simple public API (e.g., https://jsonplaceholder.typicode.com/todos/1) (1 minute).

• React (Optional): Run an example of changing text with button clicks in CodeSandbox (3-5 minutes).

• Node/Express (Optional): npm init → npm i express → Simple / route execution (5~10 minutes).

📋Prerequisites Summary

1) One-line goal

This guide is designed to quickly check the basic environment and concepts (JS basics, Terminal·Git, HTTP, Node/npm) before taking the class. (Total time: approximately 10 minutes)

2) JavaScript Basics (about 3 minutes)

• Core Concepts: Understanding variables, functions, arrays/objects, and basic asynchronous programming (Promise/async).

• Immediate Follow-Along (Code) — Create file test.js:

// test.js
const nums = [1,2,3,4];
const doubled = nums.map(n => n * 2);
console.log(doubled); // [2,4,6,8]

async function foo(){
  return "hello";
}
foo().then(console.log);

• Execution Command:

node test.js

• Verification: If [2,4,6,8] and hello are output to the console, then OK.

3) Terminal (Command Line) Basics (About 1 minute)

• Core Commands:

  • 디렉터리 이동/조회: [[CODE_1]]pwd[[/CODE_1]], [[CODE_2]]ls[[/CODE_2]] (or [[CODE_3]]dir[[/CODE_3]] on Windows), [[CODE_4]]cd 폴더명[[/CODE_4]]

  • File creation/deletion: touch file, rm file (Windows: echo > file)

  • Command execution example: node test.js

• Verification: If you can see the current location and files with pwd/ls, you've completed the basic understanding.

4) Git & GitHub Basics (About 2 minutes)

• Key Concept: Local Repository → Commit → Push to Remote (GitHub)

• Immediate Follow-Along (Minimal Flow):

git init
git add .
git commit -m "initial"
# 원격 repo는 GitHub에서 만들고 아래 URL로 교체
git remote add origin https://github.com/USERNAME/REPO.git
git branch -M main
git push -u origin main

• Verification: Success when files are uploaded to the GitHub repository.

5) HTTP/REST Basics (About 1 minute)

• Key Concepts: GET/POST etc., sending and receiving JSON data, status codes (200/201/400/404 etc.)

• Immediate Test (Example):

curl https://jsonplaceholder.typicode.com/todos/1

• Verification: If a JSON format response is output, then OK.

6) Node.js + npm (basic flow, about 2 minutes)

• Key Concepts: Execute JS with node, install packages and manage scripts with npm

• Configuration/Command Examples:

node -v        # Check Node version
npm -v         # Check npm version

# New project
mkdir myapp && cd myapp
npm init -y
npm install express

• Simple Server Implementation (File name: app.js):

const express = require('express');
const app = express();
app.get('/', (req,res) => res.send('Hello Express'));
app.listen(3000, () => console.log('http://localhost:3000'));

• Execution/Verification:

node app.js
# In another terminal
curl http://localhost:3000   # Verify "Hello Express" output

• Note: The recommended Node version (e.g., v18) may vary depending on the situation.

7) (Optional) Quick React Experience — Fast Method (About 1 minute)

• Recommended (Web-based): Use CodeSandbox / StackBlitz — No separate installation required

• Local Start (Optional):

npx create-react-app my-ui   # (takes time)
cd my-ui
npm start

• Verification: Open http://localhost:3000 in your browser to confirm the default React screen.

8) Checklist — 1-Minute Pre-Class Check

• Does running node test.js produce results? ✅

• Have you tried committing with git → pushing to GitHub? ✅

• Have you tried calling an external API with a simple curl request? ✅

• (Optional) Have you tried accessing the local express server with curl? ✅

9) Problem-Solving Tips

• command not found → Node/npm/git not installed or PATH issue

• Port conflict (EADDRINUSE) → Another process is using port 3000 → Change port or terminate process

• Git push permission issue → GitHub authentication (token) setup required

10) Conclusion

If you go through the above items in order within 10 minutes, it will be sufficient to follow along with the lecture practice.

📋Post-Course Action Checklist (One Line at a Time)

• Practice once a day with 'template-based' prompts on Copilot/ChatGPT

• Apply the 60-second verification routine as soon as you receive the deliverable

• Apply .env + gitignore policy to personal repositories and run secret scanning once a week

  
  

"Apply now and understand the AI-powered development process in just 2 hours."