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 Duration 14 hours

Course Outline

Introduction to On-Device AI with Nano Banana

  • Fundamentals of on-device inference
  • Overview of Nano Banana model architecture and features
  • Key considerations for deploying to mobile platforms

Setting Up Nano Banana and the Development Environment

  • Installation of Nano Banana SDK tools
  • Configuration of Android and iOS build setups
  • Management of dependencies and version compatibility

Executing Nano Banana Models on Mobile Devices

  • Loading and running pre-built models
  • Navigating memory and compute limitations on mobile hardware
  • Strategies for real-time inference

Developing AI Features with Nano Banana

  • Integration of text generation capabilities
  • Implementation of image generation and editing workflows
  • Combination of multimodal inputs within applications

Performance Tuning and Benchmarking

  • Analysis of latency and throughput
  • Techniques for quantization, pruning, and model compression
  • Optimization for thermal management, battery life, and resource usage

Security and Privacy in On-Device AI

  • Local data management and compliance requirements
  • Model protection and secure execution methods
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Strategies

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

Testing, Debugging, and Continuous Enhancement

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

Summary and Future Directions

Requirements

  • A solid grasp of mobile application development
  • Practical experience with Python, Kotlin, or Swift
  • Acquaintance with fundamental machine learning concepts

Intended 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

2026-11-23 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-07 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-21 09:30
14 hours
København, Copenhagen
3472 EUR (Online)
3872 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-04 09:30
14 hours
Copenhagen, City Center
3472 EUR (Online)
3872 EUR (Classroom)

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