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 Duration 14 hours

Course Outline

Introduction to On-Device AI with Nano Banana

  • Fundamental principles of on-device inference
  • Nano Banana model architecture and key capabilities
  • Considerations for deploying on mobile platforms

Nano Banana Setup and Development Environment

  • Installing Nano Banana SDK tools
  • Configuring Android and iOS build environments
  • Managing dependencies and ensuring version compatibility

Running Nano Banana Models on Mobile Devices

  • Loading and executing prebuilt models
  • Addressing memory and compute constraints on mobile hardware
  • Strategies for real-time inference

Building AI Features with Nano Banana

  • Integrating text generation functionalities
  • Implementing image generation and editing workflows
  • Combining multimodal inputs within applications

Performance Optimisation and Benchmarking

  • Profiling latency and throughput
  • Quantisation, pruning, and model compression techniques
  • Optimising thermal management, battery life, and resource usage

Security and Privacy in On-Device AI

  • Local data handling and compliance considerations
  • Model protection and secure execution
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Patterns

  • Hybrid on-device and cloud workflows
  • Managing offline-first AI applications
  • Scaling solutions for large user bases

Testing, Debugging, and Continuous Improvement

  • Implementing CI/CD for AI-enabled mobile apps
  • Unit, integration, and performance testing
  • Iterative model updates and maintaining backward compatibility

Summary and Next Steps

Requirements

  • A solid grasp of mobile application development
  • Hands-on experience with Python, Kotlin, or Swift
  • Familiarity with core machine learning concepts

Target Audience

  • Mobile developers
  • AI engineers
  • Technical professionals interested in on-device AI deployment

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

Provisional Upcoming Courses (Require 5+ participants)

Building On-Device AI Apps with Nano Banana

2026-11-09 09:30
14 hours
Auckland, ANZ Centre
5480 NZD (Online)
14280 NZD (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-23 09:30
14 hours
Wellington, Plimmer Towers
5480 NZD (Online)
12980 NZD (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-07 09:30
14 hours
Te Pou Toetoe Linwood
5480 NZD (Online)
12980 NZD (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-21 09:30
14 hours
Auckland, ANZ Centre
5480 NZD (Online)
14280 NZD (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-04 09:30
14 hours
Wellington, Plimmer Towers
5480 NZD (Online)
12980 NZD (Classroom)

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