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 Duration 14 hours

Course Outline

Introduction to Privacy-Centric AI

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

Exploring Nano Banana for On-Device Privacy

  • Architecture of the Nano Banana model
  • Security characteristics and local execution mechanisms
  • Compatible platforms and mobile integration patterns

Data Management and Local Processing Methods

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

Implementing Privacy-Preserving AI Capabilities

  • Developing AI-driven features without transmitting user data externally
  • Designing workflows suitable for healthcare, finance, or compliance-heavy sectors
  • Ensuring data isolation across different application components

Security Considerations for On-Device Models

  • Safeguarding models against extraction or tampering
  • Secure sandboxing and permission management
  • Threat modelling for mobile AI systems

Compliance and Regulatory Alignment

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

Testing and Validating Privacy Guarantees

  • Testing workflows to prevent unintended data leakage
  • Assessing the balance between accuracy and privacy
  • Ongoing validation across application updates

Deployment and Maintenance of Privacy-Focused AI Apps

  • Managing updates for on-device models
  • Monitoring long-term performance and compliance
  • Preparing applications for evolving regulatory landscapes

Summary and Next Steps

Requirements

  • A foundational grasp of mobile or application development
  • Proficiency in Python, Kotlin, or Swift
  • A basic understanding of AI or machine learning principles

Target Audience

  • Enterprise development teams
  • Compliance and privacy officers
  • Developers constructing security-sensitive applications

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