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Course Outline
Introduction to Privacy-Preserving AI for Government
- Core principles of data privacy in mobile applications for government use
- Regulatory drivers for on-device AI in the public sector
- Benefits and limitations of local processing within government workflows
Understanding Nano Banana for On-Device Privacy in Government Applications
- Nano Banana model architecture for government use
- Security properties and local execution paths for government systems
- Supported platforms and mobile integration patterns for government applications
Data Handling and Local Processing Techniques for Government
- Collecting and storing sensitive data securely on-device for government operations
- Minimizing data exposure using local inference in government apps
- Anonymization and pseudonymization strategies for government use
Implementing Privacy-Preserving AI Features for Government
- Creating AI-driven features without transmitting user data in government applications
- Designing healthcare-, finance-, or compliance-ready workflows for government use
- Ensuring data isolation across app components for government systems
Security Considerations for On-Device Models in Government
- Protecting models from extraction or tampering in government applications
- Secure sandboxing and permission management for government use
- Threat modeling for mobile AI systems in the public sector
Compliance and Regulatory Alignment for Government
- Understanding GDPR, HIPAA, and financial-sector implications for government operations
- Documenting privacy-by-design approaches for government use
- Maintaining auditability without compromising user data in government systems
Testing and Validating Privacy Guarantees for Government
- Testing workflows for unintended data leakage in government applications
- Evaluating accuracy vs privacy trade-offs for government use
- Continuous validation across app updates in government systems
Deployment and Maintenance of Privacy-Focused AI Apps for Government
- Managing on-device model updates for government applications
- Monitoring performance and compliance over time in government systems
- Future-proofing applications for evolving regulations in the public sector
Summary and Next Steps for Government
Requirements
- A comprehensive understanding of mobile or application development for government
- Practical experience with Python, Kotlin, or Swift
- Fundamental knowledge of AI and machine learning concepts
Audience
- Government enterprise teams
- Compliance officers for government agencies
- Developers working on sensitive applications for government use
14 Hours
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