Key Highlights
Languages
English, Hindi, Kannada
Detailed Syllabus
Week 1
- Intro to Mobile/Web Apps (Flutter/React Native)
- UI/UX Basics (Figma)
- Git & GitHub (Version Control)
Week 2
- Frontend Development (HTML/CSS/JS for Web Apps)
- Firebase Integration (Auth, Database)
Week 3
- API Integration (REST, GraphQL)
- Mini-Project: Weather App with API
Week 4
- AI in App Dev (Overview of ChatGPT, Gemini, Copilot)
- Prompt Engineering for Code Generation
Week 5
- AI-Powered Debugging & Optimization
- TensorFlow Lite for Mobile AI (Image/Text Models)
Week 6
- Voice/Conversational AI (Dialog flow, Whisper API)
- Mini-Project: AI Chatbot App
Week 7
- Cloud Integration (AWS/Azure for AI Apps)
- CI/CD Pipelines (GitHub Actions)
Week 8
- Monetization Strategies (Ads, Subscriptions)
- App Store Optimization (ASO)
Week 9
- Security & Compliance (GDPR, Data Encryption)
Weeks 10-12
- Build a Full-Stack AI App (e.g., "AI-Powered Fitness Coach")
- Code Review & Optimization
- Mock Interviews & Resume Workshops
- Demo Day (Present Projects to Hiring Partners)
Tools & Languages Covered:
- Python (for AI)
- TensorFlow
- ChatGPT API
- Gemini API
- Flutter
- React Native
- Firebase
- REST APIs
- Git & GitHub
Who Should Enroll?
Target Audience:
- Aspiring Web & Mobile Developers
- Students aiming for roles at the intersection of App Development and AI
- Existing Developers (Frontend/Backend/Full-Stack) looking to integrate advanced AI capabilities
- Career Switchers with foundational programming knowledge aiming for modern development roles
- Anyone can learn
Weekly Schedule Sample (Weekday Batch)
| Day | Time | Activity |
|---|---|---|
| Monday | 10 AM - 12 PM | Live Coding Session (AI Tools) |
| Tuesday | 10 AM - 11 AM | Theory (App Dev Concepts) |
| Wednesday | 10 AM - 12 PM | Hands-on Project Work |
| Thursday | 11 AM - 12 PM | Guest Lecture (Industry Expert) |
| Friday | 10 AM - 12 PM | Doubt Clearing + Code Review |
Weekend batch schedule differs. Please contact us for details.