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Course Outline
Introduction to 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 data processing
Exploring Nano Banana for On-Device Privacy
- Overview of the Nano Banana model architecture
- Security attributes and local execution mechanisms
- Compatible platforms and standard mobile integration methods
Data Management and Local Processing Strategies
- Secure collection and storage of sensitive data on the device
- Reducing data exposure through local inference
- Techniques for anonymization and pseudonymization
Developing Privacy-Preserving AI Capabilities
- Building AI features that do not require transmitting user data
- Designing workflows suitable for healthcare, finance, or compliance contexts
- Safeguarding data isolation between different application components
Security Aspects of On-Device Models
- Preventing model extraction or unauthorized modification
- Implementation of secure sandboxing and permission controls
- Conducting threat modeling for mobile AI systems
Regulatory Compliance and Alignment
- Navigating the implications of GDPR, HIPAA, and financial regulations
- Documenting privacy-by-design methodologies
- Ensuring auditability while protecting user data integrity
Verification of Privacy Standards
- Testing workflows to prevent unintended data leakage
- Balancing accuracy against privacy requirements
- Ongoing validation across successive app updates
Deployment and Ongoing Maintenance of Privacy-Centric AI Apps
- Overseeing updates to on-device models
- Tracking performance and compliance metrics over time
- Preparing applications for future regulatory changes
Conclusion and Further Actions
Requirements
- Foundational knowledge of mobile or application development
- Practical experience with Python, Kotlin, or Swift
- Basic familiarity with AI or machine learning principles
Target Audience
- Enterprise development teams
- Compliance professionals
- Developers creating sensitive or regulated applications
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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