Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Privacy-Preserving AI
- Fundamental principles of data privacy in mobile applications
- Regulatory factors driving the adoption of on-device AI
- Advantages and constraints of local data processing
Understanding Nano Banana for On-Device Privacy
- Architectural overview of Nano Banana
- Security features and local execution pathways
- Compatible platforms and mobile integration patterns
Data Handling and Local Processing Techniques
- Secure collection and storage of sensitive data on-device
- Reducing data exposure through local inference
- Strategies for anonymization and pseudonymization
Implementing Privacy-Preserving AI Features
- Developing AI-driven features that avoid transmitting user data
- Creating workflows suitable for healthcare, finance, or compliance environments
- Ensuring data isolation across different app components
Security Considerations for On-Device Models
- Safeguarding models against extraction or tampering
- Managing secure sandboxing and permissions
- Threat modeling specific to mobile AI systems
Compliance and Regulatory Alignment
- Navigating the implications of GDPR, HIPAA, and financial-sector regulations
- Documenting privacy-by-design methodologies
- Maintaining audit capabilities without compromising user data
Testing and Validating Privacy Guarantees
- Testing workflows to detect unintended data leakage
- Assessing the balance between accuracy and privacy
- Continuous validation methods 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
- Proficiency in mobile or application development
- Working knowledge of Python, Kotlin, or Swift
- Basic understanding of AI or machine learning concepts
Target Audience
- Enterprise development teams
- Compliance officers
- Developers creating sensitive applications
14 Hours
Testimonials (1)
Flow , vibe and topic on presentation
