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Course Outline
Introduction to Privacy-Preserving AI
- Core principles of data privacy in mobile applications.
- Regulatory drivers necessitating on-device AI.
- Advantages and limitations of local processing.
Understanding Nano Banana for On-Device Privacy
- Nano Banana model architecture.
- Security attributes and local execution pathways.
- Supported platforms and mobile integration patterns.
Data Handling and Local Processing Techniques
- Secure collection and storage of sensitive data on-device.
- Reducing data exposure through local inference.
- Strategies for anonymization and pseudonymization.
Implementing Privacy-Preserving AI Features
- Designing AI-driven features without transmitting user data.
- Architecting workflows suitable for healthcare, finance, or compliance sectors.
- Ensuring strict data isolation across application components.
Security Considerations for On-Device Models
- Safeguarding models against extraction or tampering.
- Implementing secure sandboxing and permission management.
- Conducting threat modeling for mobile AI systems.
Compliance and Regulatory Alignment
- Grasping the implications of GDPR, HIPAA, and financial sector regulations.
- Documenting privacy-by-design methodologies.
- Maintaining auditability without compromising user data.
Testing and Validating Privacy Guarantees
- Testing workflows to detect unintended data leakage.
- Evaluating the trade-off between accuracy and privacy.
- Conducting continuous validation across application updates.
Deployment and Maintenance of Privacy-Focused AI Apps
- Managing on-device model updates.
- Monitoring performance and compliance over time.
- Future-proofing applications against evolving regulations.
Summary and Next Steps
Requirements
- Fundamental knowledge of mobile or application development.
- Practical experience with Python, Kotlin, or Swift.
- Basic understanding of AI or machine learning concepts.
Target Audience
- Enterprise development teams.
- Compliance officers.
- Developers crafting applications that handle sensitive information.
14 Hours
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