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.
Duration 14 hours
Course Outline
Foundations of Privacy-Preserving AI
- Essential principles of data privacy in mobile contexts
- Regulatory factors driving the shift to on-device AI
- Advantages and constraints of local data processing
Nano Banana for On-Device Privacy: A Deep Dive
- Overview of the Nano Banana model architecture
- Key security features and local execution mechanisms
- Compatible platforms and mobile integration best practices
Secure Data Handling and Local Processing
- Strategies for securely collecting and storing sensitive data on-device
- Reducing data exposure through local inference
- Techniques for anonymization and pseudonymization
Developing Privacy-Centric AI Capabilities
- Building AI-driven features that eliminate the need to transmit user data
- Designing workflows suited for healthcare, finance, or strict compliance mandates
- Ensuring data isolation across various app components
Security Protocols for On-Device Models
- Safeguarding models against extraction and tampering
- Implementing secure sandboxing and managing permissions
- Conducting threat modeling for mobile AI ecosystems
Aligning with Compliance and Regulations
- Navigating implications of GDPR, HIPAA, and financial sector rules
- Documenting privacy-by-design methodologies
- Maintaining audit trails while protecting user data integrity
Verifying Privacy Assurance Through Testing
- Testing workflows to detect any unintended data leakage
- Balancing accuracy against privacy requirements
- Performing continuous validation across application updates
Deploying and Maintaining Privacy-Focused AI Applications
- Managing updates for on-device models
- Tracking performance and compliance metrics over time
- Preparing applications for future regulatory changes
Conclusion and Path Forward
Requirements
- Foundational knowledge of mobile or general application development
- Practical experience with Python, Kotlin, or Swift
- Basic comprehension of AI or machine learning principles
Target Audience
- Enterprise technical teams
- Compliance and regulatory officers
- Developers creating applications for sensitive or high-risk contexts
Testimonials (1)
Flow , vibe and topic on presentation
