6–9 Months | 28 Weeks | 450–550+ Hours — Android • iOS • Flutter • React Native • Kotlin • Swift • APIs • Cloud • AI. Theory + Mobile Development Lab + UI/UX + API Integration + Database + Testing + Cloud + Deployment + Industry Capstone.
Core positioning: Don't just learn to build mobile screens. Learn to design, develop, test, secure, publish and scale production-ready mobile applications.
Student journey: Programming Fundamentals → Mobile UI/UX → Android/Kotlin → iOS Awareness → Flutter/React Native → API Integration → Database → Authentication → Notifications → Device Features → Testing → Security → Cloud Backend → Analytics → AI Integration → App Deployment → Production Application.
Core promise: Don't just build mobile apps. Learn to engineer complete mobile products.
Target career roles
- Mobile App Developer, Android Developer, iOS Developer, Flutter Developer, React Native Developer
- Mobile Application Engineer, Cross-Platform Developer, Mobile UI Engineer
- Mobile Backend Integration Developer, Mobile AI Application Developer
Program architecture (16 phases)
- Phases 1–2 (Wk 1–4): Programming, mobile ecosystem, mobile UI/UX
- Phases 3–6 (Wk 5–12): Kotlin/Android, architecture, APIs, database
- Phases 7–8 (Wk 13–17): Flutter, React Native, cross-platform comparison
- Phases 9–12 (Wk 18–22): Device features, security, notifications, testing, CI/CD
- Phases 13–16 (Wk 23–28): Cloud, analytics, AI mobile apps, capstone
Phase 1 — Programming & Mobile Fundamentals (Weeks 1–2)
Module 01 — Programming Fundamentals
- Kotlin primary; Java, Dart, JS/TS, Swift awareness
- Variables, types, operators, conditions, loops, functions, collections, classes, objects
Module 02 — Mobile Application Ecosystem
- Android: Kotlin → Android SDK → App; iOS: Swift → iOS SDK → App
- Cross-platform: Flutter / React Native → Android + iOS
Module 03 — Mobile Architecture
- Mobile App → API → Backend → Database; client, server, auth, cloud
Phase 2 — Mobile UI/UX (Weeks 3–4)
Module 04 — Mobile UX
- Mobile-first design, navigation, touch, gestures, forms, notifications, accessibility
- Simplicity, consistency, feedback, error prevention (UX programme)
Module 05 — Mobile UI Design
- Login, registration, dashboard, profile, search, forms, cards, lists, bottom navigation — Figma
Module 06 — Responsive Mobile Design
- Screen sizes, portrait/landscape, tablets, foldables awareness
Phase 3 — Kotlin & Android (Weeks 5–8)
Modules 07–09 — Kotlin & Android UI
- Kotlin: null safety, data/sealed classes, extensions, generics, lambdas
- Android Studio, lifecycle, activities, resources, manifest, permissions
- Jetpack Compose: screens, components, lists, forms, navigation, state-driven UI
Modules 10–11 — Architecture & Storage
- MVVM, ViewModel, Repository, DI, state management: UI → ViewModel → Repository → API/DB
- Preferences, Room, caching, offline data
- Project: Android Expense Manager — categories, search, reports, dashboard
Phase 4 — API & Backend Integration (Weeks 10–11)
Module 12 — REST APIs
- GET, POST, PUT, PATCH, DELETE; JSON data formats
Module 13 — Mobile API Integration
- HTTP requests, responses, error handling, loading, retry, pagination
Module 14 — Backend Integration
Phase 5 — Database (Week 12)
Module 15 — Mobile Data Management
- Local: SQLite, Room, caching; Cloud: PostgreSQL, MySQL, Firebase awareness
Module 16 — Data Synchronization
- Offline data → network available → sync → cloud
Phase 6 — Flutter (Weeks 13–15)
Modules 17–19 — Flutter & Dart
- Widgets, stateless/stateful, layouts, navigation, forms, lists, API integration
- Dart: futures, async/await, null safety, collections
Module 20 — Flutter State Management
- Provider, Riverpod, Bloc/Cubit awareness — choose the right approach
- Project: Cross-platform E-commerce App — login, products, cart, orders, profile
Phase 7 — React Native (Weeks 16–17)
Modules 21–22 — React Native
- Components, props, state, hooks, navigation; JS/TypeScript
- API integration, state management, storage, native modules awareness
Module 23 — Flutter vs React Native vs Native
- Compare performance, code sharing, language, native integration — choose for the product
Phase 8 — Device & Native Features (Week 18)
Module 24 — Mobile Hardware Integration
- Camera, GPS, accelerometer, gyroscope, Bluetooth, microphone, biometrics, storage
Module 25 — Location-Based Applications
- GPS, maps, geolocation, geofencing; project: delivery tracking application
Module 26 — Bluetooth / IoT Integration
Phase 9 — Authentication & Security (Week 19)
Module 27 — Authentication
- Registration, login, logout, password reset, session management
Module 28 — Mobile Security
- Secure storage, HTTPS, tokens, validation, permissions, authorization
- Certificate pinning, root/jailbreak awareness, secure API communication
Phase 10 — Notifications & Background (Week 20)
Module 29 — Push Notifications
- Alerts, reminders, offers, messages, system notifications
Module 30 — Background Processing
- Background/scheduled tasks, sync, battery optimization, network constraints
Phase 11 — Testing & Debugging (Week 21)
Module 31 — Mobile Testing
- Unit, UI, integration, API testing
Module 32 — Debugging
- Logs, crash analysis, network debugging, performance profiling, memory
Module 33 — Performance Optimization
- Startup, memory, battery, network, rendering, image optimization
Phase 12 — Git, CI/CD & DevOps (Week 22)
Module 34 — Git & GitHub
- Branches, PRs, merge, code review, release branches
Module 35 — Mobile CI/CD
- Code → Build → Test → Sign → Release; GitHub Actions, Fastlane awareness
Module 36 — App Release Management
- Debug/release builds, versioning, signing, release notes, store submission
Phase 13 — Cloud & Analytics (Week 23)
Module 37 — Cloud Backend
- Auth, database, storage, APIs, cloud services integration
Module 38 — Mobile Analytics
- Users, sessions, retention, engagement, conversion, crash rate → product decisions
Phase 14 — AI-Powered Mobile Applications (Week 24)
Module 39 — AI Integration
- Chat, image recognition, summarization, translation, recommendations, voice
Module 40 — On-Device AI
- Edge AI, on-device inference, model optimization, privacy
- Mobile → AI model → prediction (healthcare, robotics, EV, drones, industrial)
Module 41 — AI Assistant App
- Project: AI-powered mobile assistant — chat, voice, context, actions
Phase 15–16 — Specialization Tracks & Capstone (Weeks 25–28)
Eight specialization tracks
- A — Android: Kotlin + Jetpack Compose + Play Store deployment
- B — iOS: Swift + SwiftUI + App Store (Mac hardware for release workflows)
- C — Flutter: Dart + cross-platform + native integration
- D — React Native: React + TypeScript + enterprise apps
- E — Mobile + AI: assistants, vision, voice, personalization
- F — Mobile + IoT: smart home, wearables, industrial monitoring
- G — Mobile + EV: battery, charging, vehicle dashboard (EV Engineering)
- H — Mobile + Drone: telemetry, GCS, mission planning (Drone Engineering)
RASA Mobile Product Challenge — capstone options
- Option 1 — Healthcare Platform: patient + doctor apps (Medical Robotics)
- Option 2 — Education App: courses, assessments, certificates (RIA ecosystem)
- Option 3 — EV Mobile Application: battery, charging, trip planning
- Option 4 — Drone Control / Monitoring App: telemetry, GPS, missions
- Option 5 — Smart Factory App: OEE, alerts (Industrial Automation)
- Option 6 — AI Mobile Application: assistant, voice, camera, personalization
Cross-disciplinary mobile interface layer
- EV: vehicle/BMS → mobile app → battery + charging dashboard
- Drone: telemetry → mobile ground control
- Medical Robotics: robot → tablet/mobile doctor dashboard
- Industrial: PLC/SCADA → cloud → mobile factory dashboard
- Embedded/IoT: microcontroller → Bluetooth/Wi-Fi → mobile app
- Fuel Cell: sensors → embedded → cloud → mobile monitoring
Labs, toolkit, portfolio, certification & assessment
Six mobile labs
- Android Lab, iOS Lab, Cross-Platform Lab, API Lab, Device Integration Lab, AI Mobile Lab
Software toolkit
- Android Studio, Kotlin, Jetpack Compose, Xcode, Swift/SwiftUI, Flutter, React Native, TypeScript
- Spring Boot, PostgreSQL, Room, REST/JSON, Postman, Git, GitHub Actions, Firebase/AWS, Figma
10–12 portfolio applications
- Calculator, todo, expense tracker, weather, news, e-commerce, auth app, GPS tracking, IoT/Bluetooth, AI app, cloud-connected app, production capstone
Three RASA certification levels
- Level 1 — Mobile Application Development Professional: programming + UI/UX + Kotlin + Android + API + database
- Level 2 — Professional Cross-Platform Mobile Developer: Android + Flutter + React Native + cloud + security
- Level 3 — Advanced Mobile & AI Application Engineer: cloud + IoT + AI + device integration + production deployment
Assessment framework (100%)
- Programming & Kotlin (10%), Mobile UX/UI (5%), Android (15%), APIs & Backend (10%), Database (5%), Flutter (10%), React Native (10%), Device Integration (5%), Security (5%), Testing (5%), Git/CI/CD/Cloud (5%), AI (5%), Capstone (10%)
Seven layers: EXPERIENCE (UX + UI) → MOBILE (Android + iOS + cross-platform) → APPLICATION (Kotlin + Dart + TypeScript) → CONNECTIVITY (REST + WebSocket + Bluetooth + IoT) → BACKEND (Spring Boot + DB + Cloud) → INTELLIGENCE (AI + CV + Voice) → PRODUCT (Testing + Security + Analytics + CI/CD + Deployment).
Cross-program links: Java Full Stack · UX & Product Design · Data Science & AI · PLC & Embedded · EV Engineering · Industrial Automation
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