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 Duration 14 hours

Course Outline

Introduction to On-Device AI with Nano Banana

  • Foundational principles of on-device inference
  • Overview of Nano Banana model architecture and capabilities
  • Key deployment factors for mobile platforms

Nano Banana Setup and Development Environment

  • Installation of Nano Banana SDK tools
  • Configuration of Android and iOS build environments
  • Managing dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Hardware

  • Loading and running prebuilt models
  • Navigating memory and compute limitations on mobile devices
  • Strategies for real-time inference

Developing AI Features with Nano Banana

  • Incorporating text generation capabilities
  • Creating image generation and editing workflows
  • Processing combined multimodal inputs within apps

Performance Tuning and Benchmarking

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

Security and Privacy in On-Device AI

  • Handling local data and ensuring compliance
  • Protecting models and ensuring secure execution
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Strategies

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

Testing, Debugging, and Continuous Iteration

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

Conclusion and Next Steps

Requirements

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

Target Audience

  • Mobile developers
  • AI engineers
  • Technical professionals investigating 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

Upcoming Courses

Building On-Device AI Apps with Nano Banana

2026-11-16 09:30
14 hours
Linköping
2000 EUR (Online)
2400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-30 09:30
14 hours
Stockholm, Hötorget
2000 EUR (Online)
2400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-14 09:30
14 hours
Uppsala
2000 EUR (Online)
2600 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-28 09:30
14 hours
Malmö, Stadskärna
2000 EUR (Online)
2400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-11 09:30
14 hours
Göteborg
2000 EUR (Online)
2400 EUR (Classroom)

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