Course Outline

Introduction to On-Device AI with Nano Banana for Government

  • Core principles of on-device inference
  • Nano Banana model architecture and capabilities
  • Deployment considerations for mobile platforms in the public sector

Nano Banana Setup and Development Environment for Government

  • Installing Nano Banana SDK tools for government projects
  • Configuring Android and iOS build environments to meet governmental standards
  • Managing dependencies and version compatibility in a secure environment

Running Nano Banana Models on Mobile Devices for Government

  • Loading and executing prebuilt models for government applications
  • Addressing memory and compute constraints on mobile hardware used by public sector entities
  • Implementing real-time inference strategies to enhance operational efficiency

Building AI Features with Nano Banana for Government

  • Integrating text generation functionalities to support government communications
  • Implementing image generation and editing workflows for public sector use cases
  • Combining multimodal inputs in apps to improve user experience in governmental services

Performance Optimization and Benchmarking for Government

  • Latency and throughput profiling to ensure efficient service delivery
  • Quantization, pruning, and model compression techniques to optimize resource utilization
  • Thermal, battery, and resource usage optimization for sustained performance in government applications

Security and Privacy in On-Device AI for Government

  • Local data handling and compliance considerations to meet regulatory requirements
  • Model protection and secure execution to safeguard sensitive information
  • Risks and mitigation strategies to ensure robust security in government AI deployments

Advanced Deployment Patterns for Government

  • Hybrid on-device and cloud workflows to enhance flexibility and scalability
  • Managing offline-first AI applications for reliable service in all conditions
  • Scaling for large user bases to support widespread governmental operations

Testing, Debugging, and Continuous Improvement for Government

  • CI/CD for AI-enabled mobile apps to ensure continuous delivery and integration in government projects
  • Unit, integration, and performance testing to maintain high standards of quality and reliability
  • Iterative model updates and backward compatibility to support ongoing improvements and maintenance

Summary and Next Steps for Government

Requirements

  • A comprehensive understanding of mobile application development for government
  • Practical experience with programming languages such as Python, Kotlin, or Swift
  • Familiarity with machine learning concepts and their applications

Audience

  • Mobile developers for government
  • Artificial intelligence engineers
  • Technical professionals interested in the deployment of on-device AI solutions
 14 Hours

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