Web Development with Gen AI
Build real web + AI applications before you graduate — and become the developer companies actually want to hire
- Learn Full Stack + GenAI TogetherLearn Full Stack + GenAI Together
- Build 3 Real-World AI Projects
- Mentorship from Industry Developers
- Placement-Oriented Program
About Program
The Web Development with GenAI Internship is designed for final-year VTU students who want to build real full stack and AI-powered applications before graduation. The program starts with HTML, CSS, JavaScript, and React, then progresses to Node.js, Express, and MongoDB for backend development. Students also learn to integrate AI features like chatbots, content generators, and automation tools using OpenAI, Gemini, and Claude APIs. With mentorship, product-thinking sessions, and placement-focused guidance, students build a strong portfolio of 2–3 real projects. The internship prepares them for roles in full stack development, AI app development, and modern web engineering
Key Features
Program Content
Module 1 – Internet, Web Architecture & Developer Environment
Topics Covered:
- Understanding the Internet: servers, clients, protocols
- HTTP & HTTPS in depth (headers, methods, status codes)
- DNS, domains, hosting, SSL certificates
- Browser Rendering Pipeline: HTML parsing, CSSOM, JS engine
- Code editors (VS Code) – setup, extensions, workflows
- Git & GitHub fundamentals: commit, branch, merge, pull request
- Working with DevTools: Elements, Console, Network, Lighthouse
- Web performance basics: caching, minification, compression
Module 2 - HTML5 Essentials & Semantic Structure
Topics Covered:
- Anatomy of an HTML document
- Semantic tags: <header>, <nav>, <section>, <article>, etc.
- Building forms: input types, validation, accessibility
- Integrating media: images, audio, video
- SEO basics: metadata, alt text, canonical tags
- Accessibility (A11y): ARIA roles, keyboard navigation
- Componentizing HTML structure for large applications
Module 3 - CSS3, Modern Styling & Responsive UI
Topics Covered:
- Box Model, Flexbox layouts, CSS Grid in depth
- Responsiveness: breakpoints, fluid design
- TailwindCSS fundamentals: utility classes, layout, components
- Colors, typography, spacing systems
- Animations: transitions, keyframes, micro-interactions
- Building reusable UI components with Tailwind
- Design consistency: spacing scales, shadows, hierarchy
Module 4 - GenAI for Developers + Prompt Engineering
Topics Covered:
- Using ChatGPT, Gemini, Claude for coding
- Prompt Engineering 101: structure, context, constraints
- AI-assisted debugging & code refactoring
- Using Replit & Lovable AI for rapid prototyping
- Generating UI using AI (components, styles, HTML snippets)
- Creating test cases & documentation automatically
Module 1 - JavaScript Mastery (ES6+)
Topics Covered:
- Variables, data types, operators, dynamic typing
- Functions, arrow functions, callbacks
- Arrays, objects, JSON processing
- DOM manipulation, events, event bubbling
- Asynchronous JS: promises, async/await, fetch
- Modules & imports, bundling concepts
- Error handling patterns
- Modern ES6+ features: destructuring, spread, template literals
Module 2 - React Frontend Development
Topics Covered:
- React architecture & JSX deep dive
- Functional components, props, state
- useEffect, useState, useRef, custom hooks
- React Router: nested routes, params, navigation
- State management using Context API
- Working with forms: validation, controlled inputs
- Component-driven design: reusable UI blocks
- Integrating REST APIs (GET, POST, PATCH, DELETE)
- Tailwind + React powerful UI workflows
- Performance optimization: memoization, lazy loading
Module 3 - Node.js & Express Backend Development
Topics Covered:
- Node architecture, event loop, modules
- Creating Express servers
- Routing (GET, POST, PUT, DELETE)
- Middleware: authentication, logging, validation
- JWT authentication from scratch
- Error-handling patterns & conventions
- File uploads, static file serving
- Building CRUD APIs from zero
- Structuring backend for scalability (MVC pattern)
Module 4 - Databases, ORM & Cloud Deployment
Topics Covered:
- MongoDB concepts: documents, collections, BSON
- CRUD operations in depth
- Aggregation pipeline usage
- Mongoose models, validation, population
- Indexing & performance optimization
- Deploying apps on: Vercel, Render/ Railway
- CI/CD with GitHub
- Environment management (.env, secrets storage)
- Cloud architecture basics for deployment
Module 5 - AI Integration in Web Applications (GenAI)
Topics Covered:
- Foundation models (OpenAI, Gemini, Claude)
- Calling AI APIs using JS/Node
- Building text generators
- Building AI chatbot assistants
- Building image generators
- RAG introduction: embeddings, vector storage basics
- AI form completion & auto-suggestion
- Hybrid apps: MERN + GenAI workflows
- Error handling for AI responses
- Deploying GenAI-powered websites
Module 1 - Product Thinking & UI/UX Essentials
Topics Covered:
- Identifying user problems
- Writing problem statements
- Competitor analysis
- MVP design principles
- Wireframing with Figma
- Creating user flows & navigation paths
- Building design systems
Module 2 - Startup & AI-Driven Innovation
Topics Covered:
- Using AI for startup idea generation
- AI for market research & segmentation
- Creating pitch decks with AI assist
- Landing page creation using AI tools
- Persona creation & customer journey mapping
- Ideation → Validation → MVP cycle
- Building a “Product in 30 Days” roadmap
Module 3 - Professional Growth & Communication Skills
Topics Covered:
- Resume writing (ATS-friendly + modern design)
- GitHub portfolio setup
- LinkedIn optimization for hiring visibility
- Mock technical interviews (React/JS/API)
- Presentation skills & storytelling
- Communication for developers (email, documentation)
Mini Projects
Examples
- Personal Portfolio Website
- Responsive Landing Page
- AI-generated HTML UI components
- Interactive UI widgets
Concepts Covered
- UI/UX fundamentals
- Routing, responsiveness
- Component library building
Intermediate Projects
Examples
- Blog CMS with AI content writer
- Notes generator using LLMs
- Chatbot with API integration
- Dashboard with charts + AI summaries
Concepts Covered
- MERN integration
- CRUD + APIs
- AI API integration
- App deployment
Capstone Projects
Examples
- AI Resume Builder
- Full Stack AI Chatbot Platform
- E-commerce store with AI recommendation engine
- AI Customer Support Assistant
Concepts Covered
- Architecture & Design
- Frontend + Backend Integration
- AI-enhanced features
- Deployment + Documentation
- Final presentation & demo
Tools & Softwares
Why Choose This Internship
Salary Scale
Job Roles
- Full Stack Developer
- UI/UX + Frontend Engineer
- No-Code + AI Developer
- JavaScript Developer
- AI App Developer
- Front-End Developer
- GenAI Developer
- Chatbot Developer
- Product Engineer
- No-Code + AI Developer
FAQ's
Yes. You'll receive VTU-compliant certificates and documentation.
No. The program starts from fundamentals and scales gradually.
AI chatbots, content generators, a full stack MERN app, and a capstone AI project.
Yes — resume, LinkedIn, GitHub, mock interviews & job guidance.
Offered in both offline and hybrid formats.
Yes, you will receive a verified completion certificate from Rooman Technologies upon meeting all requirements.
Absolutely. The curriculum is beginner-friendly and AI-assisted.
Yes — integrating AI APIs is a core part of the program.
Contact Us
Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.
Email Us
online@rooman.net
Call Us
080 6945 1000
Send us a Message
Contact Us
Have questions about our programs or need guidance? Reach out to us and we’ll be happy to help.
Email Us
online@rooman.net
Call Us
080 6945 1000