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 Duration 14 hours

Course Outline

Foundations of On-Device AI with Nano Banana

  • Fundamental concepts of local inference
  • Overview of Nano Banana’s model architecture and features
  • Key considerations for deployment across mobile platforms

Setting Up Nano Banana and the Development Workspace

  • Installing the Nano Banana SDK and associated tools
  • Setting up build environments for Android and iOS
  • Handling dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Hardware

  • Loading and running pre-configured models
  • Navigating memory and processing limits on mobile devices
  • Strategies for achieving real-time inference

Developing AI Features with Nano Banana

  • Adding text generation capabilities to applications
  • Creating workflows for image generation and modification
  • Merging multimodal inputs within app interfaces

Enhancing Performance and Conducting Benchmarks

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

Addressing Security and Privacy in On-Device AI

  • Managing local data and adhering to compliance standards
  • Securing model integrity and execution environments
  • Identifying risks and implementing mitigation tactics

Advanced Deployment Strategies

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

Testing, Debugging, and Continuous Refinement

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

Wrap-up and Future Directions

Requirements

  • A solid grasp of mobile application development principles
  • Proficiency in Python, Kotlin, or Swift
  • Working knowledge of machine learning fundamentals

Intended Participants

  • Mobile developers
  • AI engineers
  • Technical specialists 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

Upcoming Courses

Building On-Device AI Apps with Nano Banana

2026-11-10 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-11-24 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-08 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2026-12-22 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

Building On-Device AI Apps with Nano Banana

2027-01-05 09:30
14 hours
Oslo
3000 EUR (Online)
3400 EUR (Classroom)

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