AI Dev School:AI App & Web DevelopmentCareer Program
AI is reshaping the job market. The people who can think, create, and build with AI will have the strongest advantage. This program helps you become one of them.
Learn to build real websites and apps using AI tools, GitHub, Supabase, and modern development workflows — from zero to interview-ready projects.
About AI Dev School
AI Dev School is built for students, beginners, and working professionals who want to learn modern app and web development using AI tools. The program focuses on practical project building, real-world workflows, coding fundamentals, GitHub, databases, deployment, and interview preparation.
Built for ambitious beginners
If you're starting fresh or switching tracks, this program meets you where you are.
Students
College and early-career learners ready to upskill.
Absolute Beginners
Zero coding background? Start from the very basics.
Non-CS Students
From any stream — commerce, arts, science, engineering.
Internship Hunters
Build real projects to crack internships & interviews.
AI Enthusiasts
Anyone who wants to ship apps using modern AI tools.
The full modern AI-dev stack
A focused curriculum built around the exact skills that ship real apps and pass real interviews.
AI Fundamentals
Models, tokens, context windows, capabilities & limits.
Prompting for Devs
Write prompts that produce production-quality code.
VS Code & Cursor
Master modern AI-first IDEs and coding assistants.
HTML, CSS, JS, React
Real web fundamentals — not just AI button clicks.
Git & GitHub
Version control, branches, PRs, and collaboration.
Markdown Planning
Plan features and PRDs the way real teams do.
Supabase DB & Auth
Real databases, auth, and row-level security.
Deployment
Ship to Vercel & Netlify with custom domains.
Safe AI Dev
Guardrails, reviewing AI code, avoiding pitfalls.
Advanced Workflows
Skills, subagents, dependency maps, worktrees.
Real projects, live on the internet
Every project ships to a real URL with your GitHub repo — interview-ready evidence of your skills.
Personal Portfolio Website
Create your first website to introduce yourself, showcase your skills, and publish your learning journey online.
To-Do / Task Tracker App
Build an interactive JavaScript app where users can add, complete, and delete tasks.
Notes App with Database
Create a notes app connected to Supabase so data is saved outside the browser.
Login-Based Supabase App
Add signup, login, protected pages, and user-specific data using Supabase Auth.
Deployed Capstone Project
Plan, build, document, and deploy a complete web app with GitHub and a live public link.
AI-Powered Feature
Add an AI feature such as summarization, recommendations, chatbot, or content generation using an AI API.
Walk into interviews knowing exactly what you built
Most beginners struggle to explain their projects. We train you to confidently walk through every layer of your app — like a real engineer.
The exact tools modern teams use
Industry-standard AI and developer tools — taught hands-on, not just demoed.
Week-by-week roadmap
A structured path from AI basics and your first line of code to a deployed full-stack project, GitHub portfolio, and interview-ready capstone.
Basics Track · 9 Weeks
Learn what AI models are, how tokens and context work, and where tools like ChatGPT, Claude, Gemini, Cursor, Copilot, GitHub, Supabase, and Vercel fit in the workflow.
Set up VS Code or Cursor, Git, Node.js, browser tools, and understand the difference between local development and deployed apps.
Learn how to guide AI properly, create README.md, PLAN.md, and AI_RULES.md, and follow safe AI development practices.
Build simple web pages and understand layout, styling, interactivity, forms, and browser-based apps.
Learn repositories, commits, branches, push and pull, README files, and how GitHub becomes your public project portfolio.
Understand components, props, state, and reusable UI while building a small React app with AI support.
Learn tables, rows, authentication, and how apps store and protect real user data with Supabase.
Deploy with Vercel or Netlify, add environment variables, fix build issues, and polish the UI for public sharing.
Build a beginner-friendly project, push it to GitHub, deploy it live, and practice explaining it clearly for interviews.
Comprehensive Track • 7 Advanced Weeks
Turn an app idea into a clear product plan with user stories, MVP scope, database needs, and a practical dependency map.
Improve app structure, reusable components, forms, routing, loading states, empty states, and responsive UI.
Build a more secure full-stack app with user roles, protected data, and beginner-friendly Row Level Security concepts.
Use issues, branches, pull requests, code review, project boards, and clean commit history like a real developer.
Create reusable AI instruction files, use specialized AI roles, understand worktrees, and debug safely without breaking the main app.
Add an AI-powered feature and understand API keys, prompts, tokens, response handling, cost awareness, and safety.
Test the app, fix bugs, finalize deployment, polish GitHub and README, prepare a demo video, and practice mock interview explanation.
Basics Track is designed for beginners. Comprehensive Track includes everything in Basics plus 7 weeks of advanced full-stack project building, AI workflows, GitHub portfolio, and interview preparation.
What students should feel comfortable with
This is the practical confidence we expect students to build by the end of each track, both in projects and in interviews.
By the end of basics, students should be able to build and explain beginner projects without feeling lost in the tooling.
AI tools and prompting
Understand models, tokens, prompting, context, and how to use AI coding tools with good judgment.
Web foundations
Build with HTML, CSS, JavaScript, forms, browser events, and introductory React concepts.
Git and GitHub workflow
Create repos, make commits, work with branches, open pull requests, and explain your project history.
Developer files and planning
Use README.md, PLAN.md, TASKS.md, and AI_RULES.md to structure projects clearly.
Terminal comfort
Navigate folders, inspect files, edit simple files, count lines, search text, and follow CLI-based workflows.
Database and SQL basics
Work with tables, rows, CRUD, simple SQL queries, Supabase, and beginner-friendly authentication.
Deployment basics
Ship projects with Vercel or Netlify, manage environment variables, and troubleshoot common deploy issues.
Interview explanation
Talk through what you built, how AI helped, and the technical choices behind a beginner project.
By the end of comprehensive, students should be comfortable building fuller systems and defending their decisions with much more clarity.
Product and architecture thinking
Break ideas into MVP scope, user flows, database needs, and practical full-stack architecture decisions.
Security and roles
Handle auth, protected routes, user roles, basic RLS concepts, environment variables, and privacy-minded decisions.
AI workflows and subagents
Use reusable instructions, subagents, dependency maps, worktrees, and review-driven AI workflows.
AI API integration
Add AI-powered features while understanding API keys, rate limits, token cost, moderation, and response handling.
Professional GitHub habits
Work with issues, pull requests, code review, project boards, and cleaner collaboration patterns.
Testing and debugging
Read errors calmly, use browser dev tools, test changes, isolate bugs, and fix issues with smaller iterations.
Full-stack data workflows
Design better schemas, reason about joins and policies, and connect frontend features to real stored data.
Capstone and portfolio readiness
Finish a polished deployed project, present it clearly, and walk into interviews with stronger proof of work.
Pick the track that fits you
Founding-cohort introductory pricing. Lifetime access to recordings, GitHub portfolio, and deployment included.
Best for beginners
- Build strong foundations from zero
- Live GitHub profile with real commits
- Multiple beginner projects
- Deployed mini project on Vercel
- Doubt-solving and code reviews
Comprehensive Career Track
- Everything in Basics, plus advanced topics
- Full-stack capstone project
- AI-powered feature in your app
- Polished GitHub portfolio
- Production deployment with custom domain
- Dedicated interview preparation
Standard pricing: Basics Track ₹9,999 and Comprehensive Career Track ₹19,999. Advanced Track is available separately for learners who already know the basics.
Common questions, answered
Ready to build your first AI-powered web app?
Limited seats per batch. Personal attention, real projects, real outcomes.
Reserve your seat for a free demo class
Drop your details and our team will reach out within 24 hours with batch dates & next steps.