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Duration 14 hours
Course Outline
Introduction to Privacy-Preserving AI
- Fundamental 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 Explained
- Architecture of the Nano Banana model
- Security characteristics and local execution pathways
- Compatible platforms and mobile integration patterns
Data Management and Local Processing Methods
- Secure collection and storage of sensitive data on the device
- Reducing data exposure through local inference
- Strategies for anonymization and pseudonymization
Building Privacy-Preserving AI Features
- Developing AI functionalities without transmitting user data
- Designing workflows suited for healthcare, finance, or compliance contexts
- Guaranteeing data isolation among different app components
Security Implications for On-Device Models
- Safeguarding models against extraction or unauthorized modification
- Managing secure sandboxes and permission controls
- Threat modeling specific to mobile AI systems
Regulatory Compliance and Alignment
- Navigating GDPR, HIPAA, and financial sector regulations
- Documenting privacy-by-design methodologies
- Preserving audit capabilities while protecting user data
Testing and Verifying Privacy Assurances
- Testing workflows to identify potential data leakage
- Balancing model accuracy against privacy requirements
- Implementing continuous validation through app updates
Deploying and Maintaining Privacy-Focused AI Applications
- Overseeing on-device model updates
- Monitoring long-term performance and compliance status
- Ensuring application resilience against evolving regulatory landscapes
Conclusion and Future Directions
Requirements
- Fundamental knowledge of mobile or application development
- Proficiency in Python, Kotlin, or Swift
- Basic understanding of AI or machine learning principles
Target Audience
- Enterprise development teams
- Compliance and governance officers
- Developers creating applications for sensitive use cases
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