Certification programme
Six months from first HTML tag to a deployed, database-backed application in your portfolio, with the interview preparation that turns it into an offer.
What you will be able to do
Full syllabus
10 modules · 54 topics · 219 concepts
The request cycle
HTTP
Client and server
Developer tools
The toolchain
You can trace what happens between typing a URL and seeing a page.
Semantic HTML
Accessibility
CSS fundamentals
Layout
Responsive design
Modern CSS workflow
You can build a responsive, accessible page layout from scratch.
Language basics
Functions and scope
Data manipulation
Asynchronous JavaScript
The DOM
Modules and tooling
You can write modern JavaScript and explain asynchrony and closures.
Components and JSX
State
Effects
Forms and events
Routing and data
Sharing state
Performance
You can build a multi-page React application with well-placed state.
Node fundamentals
Express
API design
Validation and errors
Working with files and jobs
You can design and build a REST API with proper error handling.
MongoDB
Query patterns
Relational alternative
Data modelling
Performance
You can model data in both MongoDB and SQL and choose between them.
Authentication
Authorisation
Common vulnerabilities
Practical hardening
Privacy
You can implement auth correctly and defend against the common attacks.
Testing levels
Writing tests
End-to-end
Code quality
Debugging
You can test an application at the right levels and review a pull request.
Version control in a team
Build and deploy
Containers in outline
CI/CD
Operating
You can deploy a full application with a pipeline and monitoring.
Portfolio projects
The CV and profile
Technical interviews
System design basics
Machine coding rounds
You can present your work and handle a technical interview.
5 builds you keep
Two people trying to book the last slot at the same time. Handled with an atomic reservation and an honest answer for the loser, which is where most portfolio CRUD apps quietly fall over.
One deployment, several organisations, and users who must never see another tenant's data. Authorisation enforced on the server for every query, tested by trying to break it.
Uploads that are too slow to handle in the request: queued, processed in the background, with progress reported to the user and a retry when processing fails.
Versioned endpoints, API key issuance, per-key rate limiting, and documentation someone else could build against without asking you questions.
Full stack, authenticated, tested, deployed through a pipeline on every push, with error tracking wired up. A live URL and a repository you can walk an interviewer through.
Hands on with
Before you enrol
Yes, and most of the class starts there. The first two modules assume nothing. What it does require is the practice time outside class, because web development is learned by building rather than by watching.
MERN is what Mumbai startups and agencies hire for most, so it is the fastest route to a first job here. More importantly, the JavaScript, HTTP, database modelling and deployment skills transfer to any other stack afterwards.
Demand has shifted rather than disappeared. AI produces code quickly and someone has to know whether it is correct, secure and maintainable. The modules on security, testing and debugging exist because those judgements are what employers now pay for.
Five projects and a deployed capstone with a live URL, CI pipeline and error tracking. The last module covers explaining them in an interview, which candidates usually find harder than building them.
TypeScript is introduced where it helps and used in the later projects. Next.js is touched on rather than taught in full, because React fundamentals matter more first and Next is straightforward once those are solid.
Where this leads
One skill on a CV is a hobby. These are the courses students take alongside this one, in the order that builds an actual role.
Cloud and DevOps together, because employers hire for the combination. You build real infrastructure, containerise applications and ship them through a pipeline you wrote.
Defensive security aimed where the attacks now are: cloud infrastructure and AI systems. Everything is practised in an isolated lab we provide.
Everything on the modelling side, in one programme. Data science end to end, the machine learning algorithms understood rather than imported, and applied AI through to generative models and guardrails.