Add AI superpowers to your mobile apps with Gemini API, ML Kit vision, and voice interfaces. Transform your M2 projects into intelligent, personalized...
Lessons
17
Activities
17
Projects
4
Duration
24 sessions • 6 months
Add AI superpowers to your mobile apps with Gemini API, ML Kit vision, and voice interfaces. Transform your M2 projects into intelligent, personalized experiences.
This course consists of 24 structured sessions over 6 months. Each session includes lessons, activities, projects, and assessments to ensure comprehensive learning.
Understand on-device vs cloud AI landscape
SDK setup, chat completions, streaming
Image analysis with Gemini
System instructions, few-shot learning
Evolve SpotFinder with AI recommendations
Evolve SpotFinder with AI recommendations
On-device object detection
Document scanning, receipt parsing
Face landmarks, AR filters, privacy
Evolve ARRoom with ML Kit vision
Evolve ARRoom with ML Kit vision
ML Kit offline translation models
Voice commands, speech-to-text
Voice output, accessibility
Evolve FitTrack with AI coaching
Evolve FitTrack with AI coaching
Personalization, collaborative filtering
Cloud ML models, predictions
Mood detection, review analysis
Bias auditing, fairness, transparency
Caching, rate limiting, fallbacks
Budgeting, monitoring, efficiency
Full AI-powered social app
Full AI-powered social app
AI
Master AI through practical application
API
Master API through practical application
Practical Skills
Build real-world applications and projects
Problem Solving
Develop computational thinking and problem-solving abilities
Join this course and start your learning journey today.