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Course Outline

Foundations of Privacy-Preserving AI

  • Essential principles of data privacy in mobile applications
  • Regulatory factors driving on-device AI adoption
  • Advantages and constraints of local processing

Exploring Nano Banana for On-Device Privacy

  • Architectural overview of the Nano Banana model
  • Security attributes and local execution mechanisms
  • Supported platforms and patterns for mobile integration

Data Management and Local Processing Strategies

  • Safely collecting and storing sensitive data on the device
  • Reducing data exposure through local inference
  • Strategies for anonymization and pseudonymization

Deploying Privacy-Preserving AI Features

  • Building AI-driven functionalities without sending user data off-device
  • Designing workflows suitable for healthcare, finance, or compliance contexts
  • Maintaining data isolation across various app components

Security Implications for On-Device Models

  • Safeguarding models against extraction or manipulation
  • Implementing secure sandboxing and managing permissions
  • Conducting threat modeling for mobile AI systems

Aligning with Compliance and Regulatory Standards

  • Navigating the implications of GDPR, HIPAA, and financial-sector regulations
  • Documenting privacy-by-design methodologies
  • Preserving auditability while protecting user data integrity

Verifying and Testing Privacy Assurances

  • Testing workflows to identify potential unintended data leaks
  • Balancing accuracy against privacy considerations
  • Performing continuous validation across application updates

Deploying and Maintaining Privacy-Focused AI Applications

  • Overseeing on-device model updates
  • Tracking performance and compliance over time
  • Ensuring applications remain adaptable to evolving regulatory landscapes

Conclusion and Path Forward

Requirements

  • Familiarity with mobile or application development practices
  • Proficiency in Python, Kotlin, or Swift
  • Foundational knowledge of AI or machine learning concepts

Target Audience

  • Enterprise technology teams
  • Compliance officers
  • Developers creating sensitive applications
 14 Hours

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