AI + Full Stack MERN Development

Build a rock-solid foundation in how the web works before writing a single line of framework code.

• Semantic HTML5 structure & accessibility basics
• CSS box model, flexbox & grid layout systems
• Responsive design with media queries & mobile-first workflows
• JavaScript fundamentals: variables, scope, data types & operators
• Functions, closures & the execution context
• Array & object methods (map, filter, reduce, destructuring, spread)
• DOM selection, traversal & event handling
• Asynchronous JavaScript: callbacks, Promises & async/await
• Fetch API & working with JSON data from public APIs
• ES6+ modules, import/export & tooling basics
• Git & GitHub: branching, commits, pull requests & merge conflicts
• Browser DevTools for debugging, network inspection & performance
• HTTP fundamentals: requests, status codes & headers
• VS Code setup: extensions, snippets & keyboard-driven workflow

Ship interactive, production-quality user interfaces with React and modern styling tools.

• React component architecture & JSX fundamentals
• Props, state & the component lifecycle
• Hooks deep dive: useState, useEffect, useRef & useMemo
• Building forms & handling controlled inputs with validation
• Client-side routing with React Router (nested & protected routes)
• Global state management with Redux Toolkit
• Context API vs Redux: when to use each
• Consuming REST APIs from React with loading & error states
• Utility-first styling with Tailwind CSS & responsive components
• Reusable component libraries & design system thinking
• Performance optimization: memoization, code-splitting & lazy loading
• Project scaffolding & fast builds with Vite
• Debugging React apps with React DevTools
• Writing unit & component tests with Vitest/React Testing Library

Design and build secure, scalable REST APIs with Node.js and Express.

• Node.js runtime, event loop & non-blocking I/O model
• Building REST APIs with Express: routing & controllers
• Middleware patterns: logging, validation & error handling
• Structuring a scalable backend (MVC & layered architecture)
• Request validation with libraries like Joi/Zod
• Environment configuration & secrets management (.env)
• File uploads & handling multipart form data
• API versioning & pagination strategies
• Rate limiting & basic security headers (Helmet, CORS)
• Error handling middleware & centralized logging
• Writing integration tests for Express APIs with Jest/Supertest
• API documentation with Swagger/OpenAPI
• Building real-time features with WebSockets/Socket.io
• Package management, npm scripts & semantic versioning

Model data confidently in MongoDB and secure applications with industry-standard authentication.

• NoSQL data modeling: documents, collections & schema design
• MongoDB CRUD operations & the aggregation pipeline
• Mongoose schemas, models & validation
• Indexing strategies & query performance optimization
• Relationships in MongoDB: embedding vs referencing
• Database transactions & data consistency patterns
• Password hashing & salting with bcrypt
• JWT authentication & refresh token rotation
• Session-based vs token-based authentication trade-offs
• Role-based access control (RBAC) & route protection middleware
• OAuth 2.0 & social login integration (Google/GitHub sign-in)
• Secure cookie handling & CSRF/XSS prevention
• Connecting MongoDB Atlas & managing environments (dev/staging/prod)
• Database backup, seeding & migration scripts

Embed AI-powered features into full-stack apps using modern LLM APIs and agentic patterns.

• LLM fundamentals: tokens, context windows & prompt structure
• Calling the OpenAI API from a Node.js backend securely
• Prompt engineering for reliable, structured outputs
• Streaming AI responses to a React frontend
• Function/tool calling for AI-driven actions in an app
• Retrieval-Augmented Generation (RAG) with embeddings & vector search
• Building an AI chat assistant with conversation memory
• Rate limiting, caching & cost control for LLM API usage
• Content moderation & guardrails for AI-generated output
• Structuring AI features as microservices vs inline API calls
• Handling AI errors, timeouts & fallback strategies
• Evaluating AI output quality & basic prompt testing
• Integrating AI copilots into forms & search (autocomplete, summarization)
• Ethical & data-privacy considerations when sending user data to LLMs

Containerize, test and ship full-stack MERN applications to production with confidence.

• Writing Dockerfiles for Node.js & React applications
• Docker Compose for multi-container local development (API + DB)
• Environment variables & secrets across dev/staging/prod
• CI pipelines with GitHub Actions: lint, test & build on every PR
• Automated testing gates before merge & deploy
• Deploying the frontend to Vercel/Netlify with build previews
• Deploying the backend to a cloud host (Render/Railway/AWS EC2)
• Managing MongoDB Atlas for production databases
• Reverse proxies & Nginx basics for routing traffic
• Logging & monitoring with tools like PM2 & basic health checks
• Zero-downtime deployment strategies & rollbacks
• Domain setup, HTTPS/SSL & custom subdomains
• Scaling considerations: horizontal scaling & load balancing basics
• Post-deployment checklist: performance, security & error tracking