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 Duration 14 hours

Course Outline

Introduction to Nano Banana

  • A broad look at the framework's features and potential
  • Gaining insight into its architecture and data processing flow
  • Positioning Nano Banana alongside other on-device AI alternatives

Configuring the Development Setup

  • Readying Android Studio for AI-heavy tasks
  • Incorporating the Nano Banana SDK
  • Managing project settings and dependencies

Utilizing Nano Banana APIs

  • Investigating essential API functions
  • Loading and overseeing compact models
  • Running inference operations with real-time responsiveness

Enhancing AI Efficiency on Android

  • Methods for achieving low-latency inference
  • Approaches for managing memory and system resources
  • Techniques for benchmarking and optimization tooling

Crafting AI-Powered User Interactions

  • Developing dynamic UI elements
  • Managing asynchronous operations and callback mechanisms
  • Aligning AI functionalities with Android design standards

Safeguarding Security and Privacy in On-Device AI

  • Guaranteeing the secure processing of user information
  • Methods for maintaining privacy during inference
  • Regulatory compliance factors for business environments

Rolling Out and Sustaining AI Capabilities

  • Preparing and releasing apps with integrated AI
  • Managing versions and refreshing local models
  • Tracking and enhancing performance after launch

Complex Applications and System Integrations

  • Synergizing Nano Banana with current Android ML utilities
  • Building multimodal AI capabilities
  • Expanding app functionality with bespoke lightweight models

Conclusion and Future Pathways

Requirements

  • A solid grasp of Android application core principles
  • Proficiency in Kotlin or Java
  • Familiarity with standard mobile app debugging processes

Target Audience

  • Android developers creating apps with AI enhancements
  • Engineers investigating on-device machine learning pipelines
  • Technical groups assessing lightweight AI deployment on the Android platform

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (1)

Flow , vibe and topic on presentation

Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis

Upcoming Courses

Nano Banana for Android Developers: Lightweight AI Integration

2026-11-26 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-10 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-24 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2027-01-07 09:30
14 hours
Bratislava CBC
770 EUR (Online)
1170 EUR (Classroom)

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