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 Duration 14 hours

Course Outline

Foundations of On-Device AI with Nano Banana

  • Essential principles of local inference
  • Nano Banana model structure and core capabilities
  • Strategic considerations for mobile platform deployment

Nano Banana Configuration and Development Environment

  • Setting up Nano Banana SDK tools
  • Establishing Android and iOS build configurations
  • Managing dependencies and ensuring version compatibility

Executing Nano Banana Models on Mobile Hardware

  • Loading and running pre-compiled models
  • Navigating memory and computational limits on mobile devices
  • Strategies for real-time inference

Creating AI Features with Nano Banana

  • Integrating text generation capabilities
  • Building workflows for image creation and editing
  • Handling combined multimodal inputs within applications

Performance Enhancement and Benchmarking

  • Analyzing latency and throughput
  • Applying quantization, pruning, and model compression
  • Optimizing thermal, battery, and resource consumption

Security and Privacy in Local AI

  • Managing local data and compliance requirements
  • Ensuring model protection and secure execution
  • Identifying risks and implementing mitigation tactics

Advanced Deployment Strategies

  • Designing 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 backward compatibility

Conclusion and Future Directions

Requirements

  • Solid grasp of mobile application development
  • Proficiency in Python, Kotlin, or Swift
  • Knowledge of machine learning fundamentals

Intended Audience

  • Mobile developers
  • AI engineers
  • Technical professionals exploring local AI deployment strategies

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