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 Duration 14 hours

Course Outline

Introduction to Nano Banana

  • Overview of the framework and its core capabilities
  • Understanding the underlying architecture and processing pipeline
  • Comparing Nano Banana with alternative on-device AI solutions

Setting Up the Development Environment

  • Configuring Android Studio for AI-centric workloads
  • Integrating the Nano Banana SDK
  • Managing project configuration and dependencies

Working with Nano Banana APIs

  • Exploring essential API methods
  • Loading and managing lightweight models
  • Executing real-time inference tasks

Optimizing AI Performance on Android

  • Strategies for achieving low-latency inference
  • Techniques for effective memory and resource management
  • Utilizing benchmarking approaches and optimization tools

Designing AI-Driven User Experiences

  • Implementing responsive UI interactions
  • Managing asynchronous tasks and callbacks
  • Aligning AI behaviors with Android UX guidelines

Security and Privacy in On-Device AI

  • Ensuring secure handling of user data
  • Applying techniques for privacy-preserving inference
  • Addressing compliance considerations for enterprise deployments

Deploying and Maintaining AI Features

  • Packaging and publishing applications with embedded AI
  • Versioning and updating local models
  • Monitoring and enhancing performance post-deployment

Advanced Use Cases and Integrations

  • Combining Nano Banana with existing Android ML tools
  • Implementing multimodal AI features
  • Extending applications with custom lightweight models

Summary and Next Steps

Requirements

  • A solid grasp of Android application fundamentals
  • Proficiency in Kotlin or Java
  • Familiarity with basic mobile app debugging workflows

Target Audience

  • Android developers focused on building AI-enhanced applications
  • Software engineers investigating on-device machine learning workflows
  • Technical teams assessing lightweight AI deployment strategies on Android

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

2026-11-20 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-04 09:30
14 hours
Kuala Lumpur KL Sentral
14441 MYR (Online)
15091 MYR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-18 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2027-01-01 09:30
14 hours
Kuala Lumpur KL Sentral
14441 MYR (Online)
15091 MYR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2027-01-15 09:30
14 hours
Bayan Lepas, iDEAL
14441 MYR (Online)
14931 MYR (Classroom)

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