Full-Stack Development with AI Tools full Syllabus

Module 1: Foundations of Full-Stack Development

1.1 Introduction to Full-Stack

• What is Full-Stack? Frontend + Backend + Database + Deployment
• Traditional vs Modern Stack
• Why integrate AI tools?

1.2 Development Basics

• Web Architecture (Client, Server, API, Database)
• Understanding MVC (Model-View-Controller)
• Frontend vs Backend responsibilities

1.3 Tools Setup

• Git & GitHub basics
• Code editors: VS Code, CodeSandbox
• Browser DevTools, Responsive Design View

Module 2: Frontend Development (No-Code + Code)

2.1 UI Building (No-Code/Low-Code)

• Tools: Webflow, Framer, Elementor, Dorik, Wix
• Components: Navbar, Hero Section, Cards, Forms
• Responsive design tips with AI suggestions

2.2 HTML5 & CSS3 (Essentials Only)

• Structure of a webpage
• Layouts (Flexbox, Grid)
• Basic animations and transitions

2.3 JavaScript (Must-Have Concepts)

• DOM Manipulation
• Events & Forms
• LocalStorage
• Fetch API

2.4 AI in Frontend

• Generate UI code using ChatGPT/Copilot
• Use Uizard to convert wireframes to UI
• Integrate AI Chatbots (Tidio, BotPress)

Module 3: Backend Development

3.1 Backend Basics

• What is a server? How does it work?
• REST APIs – GET, POST, PUT, DELETE

3.2 Node.js + Express.js (Simple & Practical)

• Create RESTful API
• Routes & Controllers
• Middleware

3.3 Databases

• MongoDB (NoSQL) – CRUD operations
• Mongoose for schema handling
• Firebase (as a no-code backend option)

3.4 Authentication

• JWT (JSON Web Tokens)
• Firebase Auth (No-code option)
• Google Sign-In integration

3.5 AI in Backend

• Auto-generate APIs using AI Code Assistants
• Use Postman AI for auto-test cases
• AI-based error tracing & logs (Sentry + GPT)

Module 4: Full-Stack Integration

4.1 Connect Frontend & Backend

• Axios for HTTP requests
• Handling loading/error states

4.2 Project-Based Learning

• Build a blog app, to-do list, AI chatbot interface
• Host frontend + backend together

4.3 Deployments

• Frontend: Netlify, Vercel
• Backend: Render, Railway, Heroku (if available)
• AI Tip: Use ChatGPT to generate deployment scripts

Module 5: AI Integration & Automation

5.1 AI APIs & Tools

• OpenAI API, HuggingFace models
• Text generation, Image generation
• Use ElevenLabs, Moises, or Stability AI

5.2 Build AI-Powered Features

• Chatbot using GPT API
• AI Blog Generator
• Text-to-Speech Web App

5.3 AI in Design & UX

• Use Galileo AI, Uizard, Magician.design
• UX testing with AI-based feedback tools

5.4 AI for Dev Productivity

• GitHub Copilot – Code autocomplete
• CodeWhisperer, TabNine, Codeium
• Generate unit tests, debug suggestions

Module 6: Security + Performance

6.1 Web Security Basics

• XSS, CSRF, SQL Injection (Explained Simply)
• Helmet.js, CORS, HTTPS

6.2 Optimization

• Lazy loading, Minification
• Lighthouse performance testing
• CDN, Cache control

6.3 AI Tools for Testing & QA

• Test generation with AI
• BrowserStack + AI scripts
• Use Testim.io, Katalon AI

Module 7: Real-World Projects + Freelancing

7.1 Project Portfolio

• AI Tool Directory Website
• AI Blog/News Site with Affiliate Links
• Course Platform using LMS plugins

7.2 Freelancing with AI + Full-Stack

• Build client websites using no-code + AI
• Use ChatGPT for client proposals
• Fiverr/Guru/Upwork profile setup

7.3 Personal Branding

• Build a LinkedIn-ready dev portfolio
• GitHub project showcase with AI-powered readme
• Content strategy with AI tools (Notion AI, Jasper)

Module 8: BONUS – Future-Proofing Your Skills

• What’s next in Full-Stack + AI?
• Learn about:
  • LangChain
  • AI Agents
  • AI SaaS platforms (e.g., B12, Durable)
• How to build your own AI startup with MVP tools