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 Duration 14 hours

Course Outline

Introduction to Nano Banana

  • An overview of the framework’s features and capabilities
  • Comprehending the underlying architecture and processing pipeline
  • Benchmarking Nano Banana against alternative on-device AI solutions

Configuring the Development Environment

  • Setting up Android Studio for AI-intensive tasks
  • Incorporating the Nano Banana SDK
  • Managing project settings and dependencies

Utilizing Nano Banana APIs

  • Exploring fundamental API methods
  • Loading and administering lightweight models
  • Running inference tasks in real time

Enhancing AI Performance on Android

  • Techniques for achieving low-latency inference
  • Methods for managing memory and system resources
  • Benchmarking strategies and optimization utilities

Crafting AI-Driven User Experiences

  • Creating responsive UI interactions
  • Managing asynchronous operations and callbacks
  • Aligning AI behaviors with Android UX standards

Security and Privacy in On-Device AI

  • Safeguarding user data handling
  • Methods for maintaining privacy during inference
  • Compliance requirements for enterprise-level deployments

Deployment and Maintenance of AI Features

  • Packaging and releasing applications with embedded AI
  • Version control and updating of local models
  • Monitoring and refining performance after deployment

Advanced Applications and Integrations

  • Merging Nano Banana with existing Android ML tools
  • Developing multimodal AI features
  • Extending applications with bespoke lightweight models

Conclusion and Future Steps

Requirements

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

Target Audience

  • Android developers creating AI-enhanced applications
  • Software engineers investigating on-device machine learning workflows
  • Technical teams assessing lightweight AI deployment 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
Ostrava
3000 EUR (Online)
3000 EUR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-04 09:30
14 hours
Prague, Prague Castle
3000 EUR (Online)
3400 EUR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-18 09:30
14 hours
Brno
3000 EUR (Online)
3000 EUR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2027-01-01 09:30
14 hours
Ostrava
3000 EUR (Online)
3000 EUR (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2027-01-15 09:30
14 hours
Prague, Prague Castle
3000 EUR (Online)
3400 EUR (Classroom)

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