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 Duration 14 hours

Course Outline

Overview of On-Device AI using Nano Banana

  • Key principles behind on-device inference
  • Details on Nano Banana model architecture and features
  • Considerations for deploying on mobile platforms

Nano Banana Configuration and Development Setup

  • Installation of Nano Banana SDK tools
  • Setting up Android and iOS build environments
  • Handling dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Hardware

  • Loading and running pre-compiled models
  • Addressing memory and computational limitations of mobile devices
  • Strategies for achieving real-time inference

Crafting AI Features with Nano Banana

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

Optimizing Performance and Conducting Benchmarks

  • Profiling latency and throughput metrics
  • Applying quantization, pruning, and model compression methods
  • Optimizing for thermal management, battery life, and resource usage

Security and Privacy in On-Device AI

  • Managing local data handling and regulatory compliance
  • Implementing model protection and secure execution environments
  • Identifying risks and developing mitigation strategies

Advanced Deployment Strategies

  • Designing hybrid workflows combining on-device and cloud processing
  • Managing offline-first AI application architectures
  • Scaling solutions for extensive user bases

Testing, Debugging, and Continuous Enhancement

  • Implementing CI/CD pipelines for AI-enabled mobile apps
  • Conducting unit, integration, and performance tests
  • Managing iterative model updates and ensuring backward compatibility

Conclusion and Future Directions

Requirements

  • A solid grasp of mobile application development practices
  • Proficiency in Python, Kotlin, or Swift
  • Familiarity with fundamental machine learning concepts

Target Audience

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

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

Building On-Device AI Apps with Nano Banana

2026-11-13 09:30
14 hours
Turin
2100 EUR (Online)
2500 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-27 09:30
14 hours
Genoa
2100 EUR (Online)
2500 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-11 09:30
14 hours
Bologna
2100 EUR (Online)
2500 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-25 09:30
14 hours
Rome
2100 EUR (Online)
2500 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-08 09:30
14 hours
Milan
2100 EUR (Online)
2500 EUR (Classroom)

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