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Course Outline

Foundations of Privacy-Preserving AI

  • Fundamental principles of data privacy in mobile contexts
  • Regulatory factors 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 mechanisms
  • Supported operating systems and mobile integration strategies

Data Management and Local Processing Methods

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

Building Privacy-Preserving AI Features

  • Creating AI-driven functionalities that avoid external data transmission
  • Designing workflows suitable for healthcare, finance, and compliance sectors
  • Maintaining data isolation between application components

Security Best Practices for On-Device Models

  • Safeguarding models against extraction and tampering
  • Implementing secure sandboxing and permission controls
  • Conducting threat modeling for mobile AI architectures

Aligning with Compliance and Regulatory Standards

  • Navigating the implications of GDPR, HIPAA, and financial regulations
  • Documenting privacy-by-design methodologies
  • Preserving audit trails without compromising user confidentiality

Verifying Privacy Guarantees through Testing

  • Testing workflows to detect potential data leaks
  • Assessing the balance between accuracy and privacy
  • Ensuring continuous validation throughout app lifecycle updates

Deploying and Maintaining Privacy-Centric AI Applications

  • Overseeing updates for on-device models
  • Tracking performance and compliance metrics over time
  • Preparing applications for future regulatory changes

Wrap-up and Recommended Next Steps

Requirements

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

Target Audience

  • Enterprise technology teams
  • Compliance and legal officers
  • Developers creating applications for sensitive sectors
 14 Hours

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