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 Duration 14 hours

Course Outline

Introduction to On-Device AI with Nano Banana

  • Foundational principles of on-device inference
  • Nano Banana model structure and key capabilities
  • Key considerations for deployment across mobile platforms

Setting Up Nano Banana and the Development Environment

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

Executing Nano Banana Models on Mobile Devices

  • Loading and running pre-built models
  • Addressing memory and computational limits on mobile hardware
  • Strategies for real-time inference

Creating AI Features with Nano Banana

  • Embedding text generation features
  • Implementing workflows for image generation and editing
  • Handling multimodal inputs within applications

Optimizing Performance and Benchmarking

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

Security and Privacy in On-Device AI

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

Advanced Deployment Strategies

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

Testing, Debugging, and Continuous Improvement

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

Recap and Future Steps

Requirements

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

Target Audience

  • Mobile application developers
  • AI engineers
  • Technical specialists investigating on-device AI deployment strategies

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

Testimonials (1)

Flow , vibe and topic on presentation

Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis

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