Development Bootcamp (Web, Mobile & AI)

Master modern development: Frontend (React), Backend (Node.js/Express), Mobile (Flutter), and AI (LLMs, LangChain). Build real-world projects, collaborate in teams, and learn to deploy full-stack and AI-powered apps.

Categories

Frontend: React, HTML5, CSS3, JavaScript (ES6+) | Backend: Node.js, Express, MySQL | Mobile: Flutter, Dart, iOS & Android | AI: LLMs, LangChain, RAG, Python/Node.js | Authentication, RESTful APIs, Capstone Projects, Deployment & DevOps.

Frontend (React)

Frontend Mastery with React

Crafting user experiences with React, HTML5, Tailwindcss, and modern JavaScript.

Key Concepts: HTML5 & CSS3: Semantic structure, Flexbox, responsive design Modern JavaScript (ES6+): Async, array methods, modularity React: Components, props, state, effects, event handling Routing: React Router Data: Local JSON/static data YouTube Embedding Sprint Deliverables: Responsive React frontend Auth (mock) search, filter Client-side favorites

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Backend (Node.js/Express)

Backend Development with Node.js, Express & MySQL

Building RESTful APIs, authentication, and data management.

Key Concepts: Node.js: JavaScript on the server Express: RESTful APIs, routing, middleware MySQL: Relational DB, schema, SQL queries API Design: CRUD, authentication, JWT Auth: Password hashing, login, admin roles Sprint Deliverables: Node.js/Express backend MySQL integration Auth endpoints CRUD for songs Persistent favorites - API tested with Postman

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Mobile Development (Flutter)

Mobile App Development with Flutter

Build cross-platform mobile apps for iOS and Android using Flutter.

Key Concepts: Mobile ecosystem: Native vs Cross-platform, iOS & Android Flutter: Setup, widgets, layouts, state UI/UX: Theming, navigation, responsive design APIs: REST, async, error handling Device features: Camera, location, storage Sprint Deliverables: Mini projects: Counter, To-Do, Weather, Notes Capstone: Complete app with deployment

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AI (Practical AI)

Practical AI Product Development

Build real-world AI apps using LLMs, LangChain, and modern AI tools.

Key Concepts: Practical AI: LLMs vs Classical ML, product thinking Modern AI stack: APIs, SDKs, vector DBs, embeddings Prompt engineering, LangChain, RAG, agents End-to-end: From prototype to deployment Sprint Deliverables: Personal AI assistant Context-aware chatbot RAG-powered agent Deployed AI product

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