Course Specialization

AI Mobile App Engineering

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Program Overview

Develop mobile application foundations with Kotlin, Android tooling, APIs, and data services, then integrate appropriate AI capabilities with privacy and review controls.

Skills & Tools

  • Java & Kotlin
  • Android Studio
  • Mobile UI & Accessibility
  • Firebase & APIs
  • AI API Integration
  • Testing & Release

Course Curriculum

Module 1: Programming & Mobile Foundations

Build programming fluency with Java and Kotlin while learning mobile application structure, lifecycles, and platform constraints.

Module 2: Android Interfaces

Create clear, accessible screens, navigation flows, reusable UI elements, lists, forms, and responsive layouts in Android Studio.

Module 3: Application Data & Services

Connect authentication, local storage, Firebase services, remote databases, and validated REST API workflows.

Module 4: AI Capabilities in Mobile Products

Integrate hosted or supported on-device AI for scoped use cases, with permission, privacy, fallback, and human-review considerations.

Module 5: Quality, Security & Observability

Test core journeys, handle unreliable networks, protect sensitive data, review accessibility, and capture useful diagnostic signals.

Module 6: Packaging & Release

Prepare signed builds, store assets, privacy disclosures, release checks, and a maintainable post-launch workflow.

Capstone Projects

Connected Mobile Workspace

Build a mobile application with authentication, offline-aware data, API synchronization, and accessible task workflows.

Human-Reviewed AI Mobile Assistant

Integrate a focused AI feature that presents source context, handles failure safely, and lets users review results before acting.

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