Home / Programs / Engineering / Full Stack MERN + AI

Class 023 · Full Stack MERN + AI · Enrolling Now

Full Stack MERN
+ AI Agents

Build production web apps with the modern MERN stack — MongoDB, Express.js, React 19, and Node.js — and ship them with first-class AI features baked in. Auth, real-time, payments, file storage, observability, and an AI assistant inside your app. 6 months. One full-stack project deployed to a real partner org. A job offer, not a certificate.

6mo

duration

modules

4.8/5

class rating

100k+

enrolled

What you'll ship by month 6

MERN-023 · 1 JUN

A production-grade React 19 app

Hooks, React Router, TanStack Query, Tailwind + shadcn/ui, React Hook Form + Zod. Tested with Vitest + Playwright.

A Node + Express REST API

Typed routes with Zod, JWT auth, role-based access, rate limiting, OpenAPI docs, and 80%+ test coverage.

A scalable MongoDB schema

Mongoose models, indexes, aggregation pipelines, transactions, and Atlas Vector Search for AI features.

An AI-native MERN app, deployed

OpenAI / Anthropic streaming chat, RAG over your data, dockerised + CI/CD via GitHub Actions, monitored on Sentry.

Where our Full Stack MERN alumni work

Microsoft

Amazon

Salesforce

ServiceNow

Deloitte

Infosys

Accenture

TCS

Wipro

Capgemini

Cognizant

HCL

Microsoft

Amazon

Salesforce

ServiceNow

Deloitte

Infosys

Accenture

TCS

Wipro

Capgemini

Cognizant

HCL

What you leave with

Four things every Full Stack MERN grad walks away with.

Most programs hand you a certificate and a tutorial-grade to-do app. Ours hands you a deployed full-stack codebase, an AI feature you built yourself, and an interview.

Production-grade MERN skills

Type-safe React, Express APIs with proper validation/auth/error handling, MongoDB schemas designed for scale.

A live, end-to-end project

A React 19 + Express + MongoDB app deployed to Render or Vercel, with auth, payments, real-time, AI features, and a public URL.

AI-feature engineering

Add OpenAI / Anthropic streaming, RAG over your own data, vector search, and tool-using agents — all wired into your MERN app.

Direct placement pipeline

GitHub + LinkedIn rewrite, resume rebuild around your shipped project, and warm intros to our 1,000+ hiring partners.

6 months, four phases

From "knows what an API is" to ships AI-native MERN apps in production.

Months 1–2 build the foundations and React frontend. Months 3–4 layer Node.js, Express, and MongoDB. Month 5 ships real-world features — auth, real-time, payments. Month 6 is AI integration and a project deployed to a partner org.

MONTHS 1–2 · FRONTEND

JavaScript · TypeScript · React 19

Modern JS / TS, async, modules, npm tooling
React: hooks, context, Suspense, Server Components
State: TanStack Query, Zustand, Redux Toolkit
Tailwind + shadcn/ui · React Hook Form + Zod

YOU SHIPA polished React 19 app — auth flow, dashboards, forms — deployed to Vercel.

MONTHS 3–4 · BACKEND + DATABASE

Node.js · Express · MongoDB

Node fundamentals: event loop, streams, modules
Express: routing, middleware, error handling
MongoDB + Mongoose: schemas, indexes, aggregation
JWT auth, Zod validation, OpenAPI docs, Vitest

YOU SHIPA typed Express REST API on Render with MongoDB Atlas, 80%+ test coverage, OpenAPI docs.

MONTH 5 · REAL-WORLD

Auth · Real-time · Payments · DevOps

OAuth (Google/GitHub), sessions, RBAC
Socket.IO for chat / live notifications
Stripe payments, Resend email, S3 / Cloudinary uploads
Docker, GitHub Actions CI/CD, Sentry monitoring

YOU SHIPA multi-tenant SaaS with auth, billing, real-time updates, and a CI/CD pipeline.

MONTH 6 · AI INTEGRATION + CAPSTONE

Add AI features to your MERN app and deploy it into a real partner org.

OpenAI / Anthropic SDKs, Vercel AI SDK with streaming, MongoDB Atlas Vector Search for RAG, function calling and tool use, Pinecone for larger corpora, observability with LangSmith. Project: a real partner problem shipped end-to-end on Vercel + Render with a public URL. Walk out with a production system, a reference, and often, an offer letter.

Partner orgs (2026)62

Projects deployed320+

→ Placement offers86%

Course curriculum

Eight sections. 52 modules. The full MERN-plus-AI stack.

Jump to any section on the left. Click a module to see topics, hands-on lab, and key technologies.

Foundations & Web Fundamentals

How the modern web actually works, plus the JavaScript / TypeScript groundwork every MERN engineer needs before writing a single React component.

5 MODULES
WEEK 1

Topics Covered: HTTP/HTTPS, request/response cycle, status codes Client-server architecture and the role of REST DNS, CDNs, browsers, and how a URL becomes a page Where MERN fits: M(ongoDB) → E(xpress) → R(eact) → N(ode) Modern alternatives — Next.js, Bun, Deno — and when to use them

Topics Covered: Semantic HTML5 elements and accessibility basics CSS Grid, Flexbox, container queries, custom properties Responsive design patterns: mobile-first, fluid typography Tailwind CSS philosophy and utility-first styling Lab: rebuild a marketing landing page mobile-first with Tailwind

Topics Covered: let / const, arrow functions, destructuring, spread / rest Modules (import / export), top-level await Promises, async / await, error propagation patterns Iterators, generators, Map / Set, structuredClone Lab: build a small CLI utility using async file streams

Topics Covered: Types vs interfaces, unions, generics, conditional types Narrowing, discriminated unions, exhaustiveness checks tsconfig essentials: strict, target, paths, module resolution Zod for runtime validation that aligns with TS types Lab: convert a JS module to strict TypeScript end-to-end

Topics Covered: Git workflows: feature branches, rebasing, conflict resolution npm vs pnpm, package.json, semantic versioning, lockfiles Vite: dev server, HMR, env files, build optimisations ESLint + Prettier configs that scale to a team Lab: bootstrap a TypeScript + React + Vite repo with full tooling

React 19 Frontend

The largest section. Ten modules that take you from “renders a static component” to “ships type-safe, accessible, performant React 19 apps with proper state management and tests”.

10 MODULES
WEEKS 2–7

Topics Covered: JSX, components, props, conditional and list rendering State with useState, controlled vs uncontrolled inputs Composition patterns: children, render props, slot props Component file structure that scales Lab: build a typed Card / Button / Modal component library

Topics Covered: useEffect cleanup rules, dependency arrays, race conditions useRef, useImperativeHandle, useLayoutEffect useReducer for complex state machines useContext + useReducer as a Redux replacement Writing custom hooks: useDebounce, useMediaQuery, useLocalStorage

Topics Covered: Route configuration, nested routes, layouts Loaders, actions, error boundaries (data router) Code-splitting routes with React.lazy + Suspense Protected routes and redirect flows Lab: build a multi-route SaaS dashboard with auth-guarded pages

Topics Covered: RHF register / control / FormProvider patterns Zod schemas, refinements, transforms, async validation Field arrays, dynamic forms, controlled inputs Server-error mapping back into the form Lab: build a multi-step onboarding form with validation

Topics Covered: Server state vs client state — and why they differ TanStack Query: caching, background refetch, optimistic updates Mutations, query invalidation, infinite scroll Zustand stores, slices, persistence, devtools When (rarely) you actually need Redux Toolkit

Topics Covered: Tailwind config: theme tokens, custom plugins shadcn/ui philosophy: own your components Composing accessible primitives with Radix UI Dark mode, responsive variants, animations with Tailwind Lab: theme an entire app to a brand palette in 30 minutes

Topics Covered: React 19 Server Components: data on the server, UI on the client Suspense boundaries and progressive UI use() hook, transitions, deferred values Streaming HTML and selective hydration When to reach for Next.js vs Vite + RSC

Topics Covered: Variants, AnimatePresence, layout animations Gesture-driven UIs: drag, hover, tap Performance: GPU-accelerated transforms Reduced motion preferences for accessibility Lab: animate a Trello-style board with drag-and-drop

Topics Covered: Vitest setup, watch mode, snapshots, coverage React Testing Library queries and best practices Mocking fetch, MSW for realistic network tests Playwright end-to-end tests across browsers Lab: ship a feature behind a green test suite, no regressions

Topics Covered: React profiling: why is this re-rendering? memo, useMemo, useCallback — used correctly Bundle splitting, lazy loading, image optimisation WAI-ARIA, keyboard navigation, screen-reader testing Lighthouse and Web Vitals: CLS, LCP, INP targets

Node.js & Express Backend

Type-safe Node.js with Express that you would actually deploy to production: validation, error handling, observability, and tests.

8 MODULES
WEEKS 8–12

Topics Covered: Event loop, microtasks, libuv Streams, buffers, and memory considerations Modules, ESM vs CJS interop Child processes, worker threads, cluster Why Node is great for I/O and where it is not

Topics Covered: App vs router, route ordering, parameter parsing Middleware composition: auth, logging, rate limit, CORS Async error handling (Express 5) Modular feature-folder structure Lab: build a routed API with auth + logging middleware

Topics Covered: Resource modelling, URL design, status codes Pagination, filtering, sorting conventions OpenAPI / Swagger generation from Zod schemas Versioning strategies and deprecation Lab: ship an API with auto-generated docs at /docs

Topics Covered: Request body / params / query validation Custom refinements, async validators, transforms Single source of truth: share schemas client â†” server Discriminated unions for polymorphic payloads Lab: write a tRPC-style validated route from scratch

Topics Covered: Typed error classes (NotFoundError, ValidationError, …) Central error middleware, problem+json responses Pino structured logging, correlation IDs Sentry integration with source maps Lab: trace a failing request from frontend to log line

Topics Covered: Multer for multipart/form-data Streaming uploads to S3 / Cloudinary Image processing with sharp CSV / JSON streaming for large datasets Lab: build a chunked file uploader with progress UI

Topics Covered: Why queues: decoupling slow work from web requests Producers, consumers, retries, exponential backoff Cron jobs and recurring tasks Job priorities, concurrency, rate limiting Lab: send transactional emails via a queue worker

Topics Covered: Vitest + supertest setup Test database lifecycle (per-test sandboxing) Mocking external services (Stripe, Resend, S3) Coverage targets and CI gates Lab: 80%+ coverage on a feature, including edge cases

MongoDB & Mongoose

Schema design, indexes, the aggregation pipeline, transactions — everything you need to use MongoDB at scale instead of as a JSON dumping ground.

6 MODULES
WEEKS 13–15

Topics Covered: Documents, collections, BSON vs JSON Read / write concerns, replica sets When MongoDB is the right choice (and when it is not) mongosh basics: CRUD, projections, sort, limit Comparison with PostgreSQL — practical trade-offs

Topics Covered: Schemas, models, types, validators Hooks: pre/post save, virtuals, methods, statics Population and ref strategy Plugins for soft-delete, audit logs, slugify Lab: model a multi-tenant app with proper isolation

Topics Covered: Embedding vs referencing — when to use each Bucket pattern, attribute pattern, polymorphic pattern Designing for query patterns, not entities Migration strategies for schema changes Lab: redesign a relational schema for MongoDB

Topics Covered: $match, $group, $project, $lookup, $unwind Faceted search and dashboards Window functions ($setWindowFields) $out / $merge for materialised views Lab: build an analytics dashboard powered by aggregation

Topics Covered: Single, compound, text, partial, TTL indexes Reading explain() output and fixing COLLSCANs Hidden costs: write amplification Profiler and slow-query diagnosis Lab: take a 5-second query down to 50 ms

Topics Covered: Atlas clusters, free tier, scaling tiers Atlas Search (Lucene) for full-text Atlas Vector Search for AI / RAG features Backups, point-in-time restore, data masking Lab: hybrid keyword + vector search inside Atlas

Authentication & Security

Auth done right: not copy-paste a JWT tutorial but the patterns recruiters and security reviewers actually look for.

5 MODULES
WEEKS 16–17

Topics Covered: Authentication vs authorisation Tokens vs sessions: trade-offs in 2026 CSRF, XSS, SQLi/NoSQLi for full-stack devs Password hashing with argon2 / bcrypt Threat-modelling a typical SaaS app

Topics Covered: JWT structure, signing, JWKS, key rotation Access + refresh token flow with httpOnly cookies Session stores: Redis, MongoDB, signed cookies Logout, revocation, and the limits of stateless JWTs Lab: implement both — pick the right one per route

Topics Covered: Authorisation code flow with PKCE Passport.js strategies vs roll-your-own Linking multiple providers to one user Email verification and account-recovery flows Lab: ship Google + GitHub login on a real app

Topics Covered: Roles, permissions, scopes — what each one is for Attribute-based access for multi-tenant apps Policy middleware in Express Frontend gating without leaking server truth Lab: enforce tenant-admins-only on a sensitive route

Topics Covered: Injection (Mongo / NoSQL injection examples) Broken access control patterns to avoid Helmet.js, secure cookies, HSTS, CSP Dependency hygiene: npm audit, Snyk, Dependabot Pre-flight security checklist before launch

Real-time & Integrations

The features that turn a CRUD app into a real product: real-time updates, payments, file storage, email, caching, queues.

6 MODULES
WEEKS 18–19

Topics Covered: Rooms, namespaces, broadcast vs emit Auth on the WebSocket handshake Scaling Socket.IO horizontally with Redis adapter Reconnection, backoff, offline-first patterns Lab: build a live chat with typing indicators + presence

Topics Covered: Checkout, Payment Intents, Customer Portal Subscriptions, prorations, invoices Webhooks: signature verification, idempotency Testing with the Stripe CLI Lab: ship a SaaS subscription billing flow end-to-end

Topics Covered: Transactional vs marketing email — different stacks React Email for type-safe templates Domain auth: SPF, DKIM, DMARC Bounce / complaint handling Lab: send password resets and weekly digests

Topics Covered: S3: pre-signed URLs, multipart uploads, lifecycle rules Cloudinary transformations, signed delivery Image optimisation pipelines (AVIF/WebP) CDN basics and cache headers Lab: image-heavy gallery with progressive loading

Topics Covered: Cache-aside, read-through, write-through patterns TTL strategy and stampede prevention Rate limiting with Redis token buckets Pub/Sub for cross-service events Lab: cut p95 API latency by 70% with Redis

Topics Covered: Worker scaling, graceful shutdown Flow producers for multi-step jobs Observability: BullBoard, metrics DLQs and failure handling Lab: image-resize pipeline at scale

DevOps & Deployment

Get your MERN app off your laptop and onto the internet — with CI/CD, monitoring, and the production-hardening checklist hiring managers ask about.

6 MODULES
WEEKS 20–22

Topics Covered: Writing minimal multi-stage Dockerfiles docker-compose for local Mongo + Redis + app Caching node_modules layers correctly Image size matters: distroless & alpine pitfalls Lab: ship a production-grade Dockerfile under 200 MB

Topics Covered: Matrix builds, caching, secrets Lint → typecheck → test → build → deploy pipeline PR previews and environment promotion Auto-merge with required checks Lab: set up a green PR pipeline from scratch

Topics Covered: Render web services, cron jobs, background workers Vercel for the React frontend Custom domains, TLS, rolling deploys Cost-aware infrastructure choices for early-stage products Lab: deploy your full app with a one-click rollback button

Topics Covered: Frontend + backend Sentry integration Source maps, release tagging, performance traces OpenTelemetry instrumentation for Node + MongoDB Logs vs metrics vs traces — when each one helps Lab: trace a slow request across React → Express → Mongo

Topics Covered: Frontend: code-splitting, image optimisation, prefetch Backend: connection pooling, N+1 fixes, caching Database: explain plans, indexes revisited Load testing with k6 Lab: profile and optimise the slowest user journey

Topics Covered: Twelve-factor app principles for MERN Secret management: env vars, vaults, never in git Backups, disaster recovery, RPO/RTO Incident-response runbooks Cost monitoring and on-call discipline

AI Integration & Project

The reason this is not just another MERN bootcamp. Add real AI features to your stack: streaming chat, RAG over your own data, vector search, function calling — then ship a project.

6 MODULES
WEEKS 23–26

Topics Covered: Setup, model selection, cost-aware usage Chat completions vs Responses API System prompts, tools, structured outputs Token budgeting and caching strategies Lab: ship a typed AI client wrapper for your backend

Topics Covered: Server-sent events vs WebSockets for streaming useChat / useCompletion hooks on the React side Stop conditions, cancellation, abort signals UX patterns: typing indicators, partial markdown Lab: build a streaming chat with markdown + code blocks

Topics Covered: Embedding pipeline: chunking, deduping, indexing Vector index in Atlas; hybrid keyword + vector search Reranking and freshness biases Evaluating retrieval quality (recall, MRR) Lab: chat with your own corpus of docs end-to-end

Topics Covered: Tool schemas, JSON-mode, structured outputs Multi-step agent loops with safety rails Read-only vs write-capable tools Cost and latency budgets for agent loops Lab: an AI assistant that books a meeting end-to-end

Topics Covered: Architecture: agent + queue + Mongo + UI Long-running jobs: progress + resume Human-in-the-loop approvals Observability: trace every agent step Lab: an automation agent for your project domain

Topics Covered: Pick a real partner problem (or your own product idea) Ship a polished MERN app with an AI feature you built Auth, payments, real-time, analytics — the full set Deploy to Render + Vercel with monitoring + CI/CD Demo day: present to a panel of hiring managers

Tools you'll master

40+ tools across the MERN + AI stack.

Real-time projects

You don't watch videos. You ship software.

Three full-production projects, each threaded through the entire curriculum. By the project, you've built the whole stack around them.

Hero project · weeks 3–18

SaaS LMS — full MERN

A multi-tenant learning platform: course authoring, learner tracking, quizzes, certificates, Stripe billing, and an AI tutor that adapts to each student. React 19 + Express + MongoDB Atlas, deployed on Vercel + Render with full CI/CD and Sentry observability.

React 19ExpressMongoDBStripeSocket.IOOpenAI

View project →

Real-time · weeks 12–16

Live collab tool

A Trello-style board with real-time multi-user editing via Socket.IO, presence indicators, and an AI assistant that drafts cards from natural language.

Socket.IOMongooseAnthropic

AI-native · weeks 18–22

RAG knowledge base

An internal knowledge tool: upload docs, chunk + embed with Vercel AI SDK, hybrid keyword + vector search inside MongoDB Atlas, streaming chat with citations.

Atlas VectorVercel AITailwind

Project · weeks 23–26

Your own AI-native MERN app, in a real partner org.

Pick a real partner problem (or your own product idea). Ship a polished MERN app with auth, payments, real-time, and an AI feature you built. Deploy with monitoring + CI/CD. Walk away with a production artifact, a reference, and often, an offer letter.

2026: 180+ deployed78% → placement offers

See project gallery →

Your instructor

Taught by engineers who ship MERN apps to production.

Priya Raghavan

Lead Instructor · MERN & AI Engineering

MongoDB Pro · React Conf · Node.js Foundation

"A MERN dev who can wire OpenAI into a streaming React UI and a typed Express API ships features 5Ã— faster than someone who can only build CRUD. That's what we teach."

9 yrs

FULL STACK

3,100+

LEARNERS

4.9 /5

RATING

Priya came up through frontend at a Bangalore product company before leading platform teams at two YC-backed SaaS startups. She has shipped React + Node systems handling tens of thousands of concurrent users, designed MongoDB schemas powering real-time multiplayer products, and — most recently — added agentic AI features to a B2B fintech used by thousands of paying customers.

Her classes get you two things other programs don't: a working engineer who still ships code, and a curriculum rewritten every quarter to match what hiring managers actually ask about — TypeScript, RSC, streaming AI, vector search, and the rest.

FAQ

Questions we actually get — answered honestly.

If the answer you need isn't here, book a 20-minute advisor call. No-slides, no-pitch — just your questions.

No. About 40% of our DevOps class comes from non-CS backgrounds — mechanical, electrical, commerce. The first three weeks are foundations on purpose. What you do need: comfort with a terminal and ~15 hours/week for three months.

Plan for 12–15 hours: 2 live classes Ã— 2 hours, 1 lab Ã— 3 hours, and roughly 5 hours of asynchronous project work. Weekends are optional office hours with the TA team.

Yes. Every student gets a dedicated placement advisor from week 8 onwards — not a helpdesk. They review your resume, redo your LinkedIn, mock-interview you, and make direct warm introductions to our 1,000+ hiring partners. We track individual outcomes, not class averages.

Full refund within 7 days of class start, no questions. Pro-rata refund through week 4 if the program isn't working for you. We'd rather refund than have an unhappy alum.

You actually build. Modules 2.12 and all of Section 6 are hands-on — you'll ship a Cursor-assisted Terraform setup, a LangGraph workflow, a RAG pipeline, and your project AI-Ops agent. Nothing in the AI track is theory-only.

You get the Agent-Ready 2026 credential, graded on a 1–5 band with a public verification URL. It's co-branded with our partner ecosystem (Salesforce Partner + ServiceNow), and it names the specific project artifact you deployed. Recruiters can verify in 10 seconds.

All three. On-campus at our Hyderabad flagship; online classes on IST and PST; weekend classes for working professionals. Every format ships the same three projects and the same project.

We'd rather pause your class than push you through. You can freeze your seat for up to 90 days and rejoin the next class without paying again. TAs run catch-up sessions every Saturday for anyone more than one week behind.

Class 015 starts 12 May 2026.
48 seats. 11 already claimed.

Book a 20-minute advisor call. We'll walk through the curriculum, match it to your current role, and show you two real projects from class 014.

Full Stack MERN+ AI Agents