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Duration 14 hours
Course Outline
Foundations of Privacy-Preserving AI
- Essential principles of data privacy within mobile applications
- Regulatory factors driving the adoption of on-device AI
- Advantages and constraints of local data processing
Nano Banana for On-Device Privacy
- Architectural overview of the Nano Banana model
- Security characteristics and local execution mechanisms
- Supported platforms and patterns for mobile integration
Data Management and Local Processing
- Secure collection and storage of sensitive data on the device
- Reducing data exposure through local inference methods
- Strategies for anonymization and pseudonymization
Building Privacy-Preserving AI Features
- Developing AI features that eliminate the need to transmit user data
- Designing workflows suitable for healthcare, finance, or compliance-critical sectors
- Ensuring strict data isolation between application components
Security Implications for On-Device Models
- Safeguarding models against extraction or manipulation
- Implementing secure sandboxing and permission control
- Conducting threat modeling for mobile AI systems
Aligning with Compliance and Regulatory Standards
- Navigating the impacts of GDPR, HIPAA, and financial regulations
- Documenting privacy-by-design methodologies
- Preserving audit capabilities without exposing user data
Verifying Privacy Guarantees
- Testing workflows to prevent unintended data leaks
- Assessing the balance between accuracy and privacy
- Performing continuous validation through application updates
Deploying and Maintaining Privacy-Centric AI Apps
- Overseeing the update lifecycle for on-device models
- Tracking performance and compliance metrics over time
- Preparing applications for future regulatory changes
Key Takeaways and Roadmap
Requirements
- Familiarity with mobile or general application development practices
- Proficiency in Python, Kotlin, or Swift
- Fundamental understanding of AI or machine learning principles
Target Audience
- Enterprise technology teams
- Compliance and governance officers
- Developers creating applications involving sensitive data
Testimonials (1)
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