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Duration 14 hours
Course Outline
Introduction to Privacy-Centric AI
- Fundamental data privacy principles in mobile applications
- Regulatory mandates driving the adoption of on-device AI
- Advantages and constraints of local data processing
Exploring Nano Banana for On-Device Privacy
- Architectural overview of the Nano Banana model
- Security characteristics and local execution mechanics
- 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 Capabilities
- Creating AI features that do not require user data transmission
- Designing workflows ready for healthcare, finance, or compliance-critical uses
- Maintaining data isolation across various application components
Security Aspects of On-Device Models
- Defending models against extraction attempts or tampering
- Utilizing secure sandboxing and managing permissions effectively
- Conducting threat modeling for mobile AI systems
Regulatory and Compliance Alignment
- Navigating GDPR, HIPAA, and financial sector regulatory implications
- Documenting privacy-by-design methodologies
- Ensuring auditability while protecting user data integrity
Testing and Verifying Privacy Guarantees
- Testing workflows to detect potential data leaks
- Balancing model accuracy with privacy requirements
- Performing continuous validation throughout application updates
Deploying and Maintaining Privacy-First AI Applications
- Overseeing on-device model updates and maintenance
- Monitoring long-term performance and compliance status
- Preparing applications for future regulatory changes
Recap and Forward Planning
Requirements
- A solid grasp of mobile or application development principles
- Proficiency in Python, Kotlin, or Swift
- Fundamental knowledge of AI and machine learning concepts
Target Audience
- Enterprise technical teams
- Compliance and governance officers
- Developers responsible for building sensitive applications
Testimonials (1)
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