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Course Outline

Introduction to Privacy-Preserving AI

  • Foundational 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

  • Overview of Nano Banana’s model architecture
  • Security properties and local execution pathways
  • Supported platforms and mobile integration strategies

Data Management and Local Processing

  • Secure collection and storage of sensitive data on-device
  • Reducing data exposure through local inference
  • Strategies for anonymization and pseudonymization

Building Privacy-Preserving AI Features

  • Designing AI features that do not require transmitting user data externally
  • Crafting workflows compliant with healthcare, finance, and other regulated sectors
  • Safeguarding data isolation across various app components

Security for On-Device Models

  • Preventing model extraction or tampering
  • Implementing secure sandboxing and permission management
  • Conducting threat modeling for mobile AI systems

Regulatory Compliance and Alignment

  • Navigating GDPR, HIPAA, and financial-sector regulatory requirements
  • Documenting privacy-by-design methodologies
  • Ensuring auditability while protecting user data integrity

Testing and Privacy Validation

  • Testing workflows to detect and prevent unintended data leakage
  • Balancing accuracy with privacy trade-offs
  • Performing continuous validation through application updates

Deploying and Maintaining Privacy-Focused AI Apps

  • Managing updates for on-device models
  • Monitoring performance and compliance metrics over time
  • Preparing applications for evolving regulatory landscapes

Summary and Next Steps

Requirements

  • A solid understanding of mobile or general application development
  • Proficiency in Python, Kotlin, or Swift
  • Fundamental familiarity with AI or machine learning concepts

Target Audience

  • Enterprise technology teams
  • Compliance and legal officers
  • Developers creating applications handling sensitive data
 14 Hours

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