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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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