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Duration 14 hours
Course Outline
Foundations of Privacy-Preserving AI
- Essential principles of data privacy in mobile applications.
- Regulatory factors driving the adoption of on-device AI.
- Advantages and constraints of local data processing.
Nano Banana for On-Device Privacy
- Overview of the Nano Banana model architecture.
- Security features and local execution pathways.
- Supported platforms and mobile integration patterns.
Data Handling and Local Processing Strategies
- Secure collection and storage of sensitive data on-device.
- Reducing data exposure through local inference techniques.
- Strategies for anonymization and pseudonymization.
Building Privacy-Preserving AI Features
- Developing AI-driven features without transmitting user data externally.
- Designing workflows compliant with healthcare, finance, and other regulatory standards.
- Ensuring data isolation between different application components.
Security Best Practices for On-Device Models
- Safeguarding models against extraction or tampering.
- Implementing secure sandboxing and permission management.
- Threat modeling for mobile AI systems.
Compliance and Regulatory Adherence
- Navigating GDPR, HIPAA, and financial sector regulatory implications.
- Documenting privacy-by-design methodologies.
- Maintaining audit capabilities without compromising user data security.
Testing and Verifying Privacy Guarantees
- Testing workflows to identify and prevent unintended data leakage.
- Balancing accuracy and privacy trade-offs.
- Performing continuous validation across application updates.
Deployment and Ongoing Maintenance of Privacy-Focused AI
- Managing updates for on-device models.
- Monitoring performance and compliance over time.
- Preparing applications for future regulatory changes.
Conclusion and Recommended Next Steps
Requirements
- Fundamental knowledge of mobile or application development.
- Proficiency in Python, Kotlin, or Swift.
- A basic understanding of AI or machine learning concepts.
Target Audience
- Enterprise technology teams.
- Compliance officers and legal specialists.
- Developers working on sensitive or high-security applications.
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