Get in Touch

Course Outline

Introduction to On-Device AI using Nano Banana

  • Fundamental concepts of local inference
  • Overview of Nano Banana model architecture and features
  • Key considerations for mobile platform deployment

Setting Up the Nano Banana Development Environment

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

Executing Nano Banana Models on Mobile Hardware

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

Developing AI Features with Nano Banana

  • Integrating text generation functions into apps
  • Building workflows for image generation and editing
  • Utilizing multimodal inputs in application design

Optimizing Performance and Benchmarking

  • 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

  • Best practices for local data handling and regulatory compliance
  • Ensuring model integrity and secure execution
  • Identifying risks and implementing mitigation strategies

Advanced Deployment Strategies

  • Designing hybrid workflows combining on-device and cloud components
  • Building offline-first AI applications
  • Scalability strategies for large user bases

Testing, Debugging, and Continuous Improvement

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

Wrap-Up and Recommended Next Steps

Requirements

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

Target Audience

  • Mobile application developers
  • AI and machine learning engineers
  • Technical specialists investigating on-device AI deployment strategies
 14 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories