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Course Outline

Overview of Privacy-Preserving AI

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

Exploring Nano Banana for On-Device Privacy

  • Nano Banana model architecture
  • Security characteristics and local execution mechanisms
  • Compatible platforms and mobile integration strategies

Methods for Data Handling and Local Processing

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

Building Privacy-Preserving AI Capabilities

  • Creating AI-driven features that do not transmit user data
  • Designing workflows suitable for healthcare, finance, or compliance
  • Maintaining data isolation between application components

Security Aspects of On-Device Models

  • Safeguarding models against extraction or tampering
  • Managing secure sandboxing and permissions
  • Conducting threat modeling for mobile AI systems

Alignment with Compliance and Regulations

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

Verification of Privacy Guarantees through Testing

  • Testing workflows to prevent unintended data leakage
  • Balancing accuracy against privacy trade-offs
  • Ensuring continuous validation through application updates

Deployment and Upkeep of Privacy-Focused AI Applications

  • Oversight of on-device model updates
  • Tracking performance and compliance trends over time
  • Preparing applications for evolving regulatory landscapes

Recap and Path Forward

Requirements

  • A solid grasp of mobile or application development principles
  • Proficiency in Python, Kotlin, or Swift
  • Fundamental knowledge of AI or machine learning concepts

Target Audience

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

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