Full Stack Development with AI
Become the developer who ships complete AI products, alone.
A modern full stack programme rebuilt for the AI era. You learn to build and deploy real web applications end to end — and to embed LLM features, agents and AI-assisted workflows into them as a first-class part of the product, not a bolted-on demo.
- Duration
- 24 weeks
- Weekly effort
- 12–15 hrs/week
- Level
- Beginner friendly
- Format
- Live cohort + daily practice
- Mode
- Classroom in Marathahalli & Live online
- Typical range
- ₹6–24 LPA
Outcomes
What you will be able to do
Not topics covered — capabilities you can demonstrate in an interview and on day one of the job.
- Build and deploy production web applications with TypeScript, React and Next.js
- Design REST and streaming APIs, relational schemas and authentication that hold up
- Embed LLM features — chat, RAG, agents, structured extraction — inside a real product
- Use AI coding tools like a senior engineer: review, verify and stay accountable for the output
- Ship to the cloud with CI/CD, monitoring and a portfolio of live, working apps
Curriculum
5 modules over 24 weeks
Every module ends in working code that is reviewed by a mentor before you move on.
01Programming & Web Foundations
Weeks 1–4
Programming & Web Foundations
Weeks 1–4
- JavaScript and TypeScript from fundamentals to generics
- HTML, semantic markup and accessibility that is not an afterthought
- Modern CSS: flexbox, grid, responsive design, Tailwind
- Git, GitHub, code review and working like a team
02Frontend Engineering
Weeks 5–9
Frontend Engineering
Weeks 5–9
- React 19: components, hooks, server components, suspense
- Next.js App Router, routing, data fetching and rendering strategies
- State management, forms, validation and error boundaries
- Performance, Core Web Vitals, SEO and accessibility auditing
03Backend & Data
Weeks 10–14
Backend & Data
Weeks 10–14
- Node.js and FastAPI services; REST design and streaming responses
- PostgreSQL: modelling, indexing, transactions, query performance
- ORMs, migrations, caching with Redis, background jobs and queues
- Authentication, authorisation, OWASP Top 10 and secure secret handling
04Building AI Into the Product
Weeks 15–19
Building AI Into the Product
Weeks 15–19
- LLM APIs, streaming UX, tool calling and structured output in a real app
- RAG over your application's own data with pgvector
- Agentic features with human approval and safe action boundaries
- Evaluating, rate limiting and costing AI features before you launch them
- AI-assisted development: real leverage from Claude Code without losing control
05Ship, Scale & Get Hired
Weeks 20–24
Ship, Scale & Get Hired
Weeks 20–24
- Testing: unit, integration and end-to-end with Playwright
- Docker, CI/CD, environments and zero-downtime deploys
- Observability, logging and debugging production incidents
- System design interviews, DSA refresher, portfolio and mock interviews
Capstone
What you walk out with
Portfolio work substantial enough to carry a technical interview on its own.
A full-featured SaaS product with authentication, payments, a database and an AI assistant — deployed and publicly accessible
An open-source contribution and a portfolio site that gets you past the first screen
Tools & stack
Roles this leads to
- Full Stack Developer (AI)
- AI Product Engineer
- Frontend Engineer with AI
- Backend Engineer (AI Services)
- Founding Engineer
Who it is for
- Graduates and career switchers starting in software
- Frontend or backend developers who want the full picture plus AI
- Founders who want to build their own product
Prerequisites
- Basic programming logic in any language
- No prior web development experience needed
Enrol
Get the full syllabus for Full Stack with AI
Request the detailed module-by-module syllabus, current batch dates and fee structure. A counsellor will also check whether this is the right programme for your background.
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