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 Duration 14 hours

Course Outline

Introduction to Nano Banana

  • Framework overview and core capabilities
  • Architectural insights and processing pipeline analysis
  • Comparison with alternative on-device AI solutions

Preparing the Development Environment

  • Configuring Android Studio for AI workloads
  • Integration of the Nano Banana SDK
  • Project setup and dependency management strategies

Utilizing Nano Banana APIs

  • Exploring core API functionalities
  • Loading and managing lightweight models
  • Performing real-time inference tasks

Optimizing AI Performance on Android

  • Tactics for achieving low-latency inference
  • Techniques for memory and resource efficiency
  • Benchmarking methods and optimization toolsets

Crafting AI-Driven User Experiences

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

Security and Privacy in On-Device AI

  • Secure data handling protocols
  • Methods for privacy-preserving inference
  • Compliance requirements for enterprise-scale deployments

Deployment and Maintenance of AI Features

  • Packaging and publishing apps with embedded AI
  • Versioning and updating local models
  • Post-deployment monitoring and performance refinement

Advanced Use Cases and Integrations

  • Synergizing Nano Banana with existing Android ML tools
  • Developing multimodal AI features
  • Extending applications via custom lightweight models

Summary and Future Steps

Requirements

  • A solid grasp of Android application fundamentals
  • Proficiency in either Kotlin or Java
  • A basic understanding of 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

2026-11-06 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-11-20 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-04 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2026-12-18 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2027-01-01 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Nano Banana for Android Developers: Lightweight AI Integration

2027-01-15 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

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