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Duration 14 hours
Course Outline
Foundations of Privacy-Preserving AI
- Fundamental principles of data privacy within mobile applications.
- Regulatory factors driving the adoption of on-device AI.
- Advantages and constraints of local data processing.
Applying Nano Banana to On-Device Privacy
- Architecture of the Nano Banana model.
- Security characteristics and local execution mechanisms.
- Compatible platforms and mobile integration strategies.
Data Management and Local Processing Methods
- Safely collecting and storing sensitive data on the device.
- Reducing data exposure through local inference.
- Techniques for anonymization and pseudonymization.
Building Privacy-Preserving AI Capabilities
- Developing AI features that do not require user data transmission.
- Designing workflows suitable for healthcare, finance, or strict compliance contexts.
- Safeguarding data isolation among different application components.
Security Aspects of On-Device Models
- Defending models against extraction or tampering attempts.
- Implementing secure sandboxing and managing permissions effectively.
- Conducting threat modeling for mobile AI systems.
Aligning with Compliance and Regulations
- Navigating the implications of GDPR, HIPAA, and financial sector regulations.
- Documenting privacy-by-design methodologies.
- Maintaining audit trails without compromising user privacy.
Testing and Verifying Privacy Standards
- Testing workflows to detect any unintended data leaks.
- Balancing accuracy against privacy requirements.
- Performing continuous validation across application updates.
Deploying and Maintaining Privacy-Centric AI Apps
- Overseeing on-device model updates.
- Monitoring performance and compliance metrics over time.
- Preparing applications for future regulatory changes.
Recap and Future Directions
Requirements
- A solid grasp of mobile or general application development.
- Working experience with Python, Kotlin, or Swift.
- Fundamental familiarity with AI or machine learning principles.
Target Audience
- Enterprise development teams.
- Compliance officers and regulatory specialists.
- Developers responsible for building sensitive or high-security applications.
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