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Duration 14 hours
Course Outline
Introduction to Privacy-Centric AI
- Fundamental principles of data privacy within mobile applications
- Regulatory factors driving the shift toward on-device AI
- Advantages and constraints of local data processing
Grasping Nano Banana for On-Device Privacy
- Architectural overview of Nano Banana models
- Security characteristics and local execution workflows
- Compatible platforms and mobile integration approaches
Managing Data and Local Processing Techniques
- Securely collecting and retaining sensitive data on the device
- Reducing data exposure through local inference
- Strategies for anonymization and pseudonymization
Implementing Privacy-First AI Features
- Building AI-driven functionalities without transmitting user data externally
- Designing workflows suitable for healthcare, finance, or compliance-heavy industries
- Ensuring effective data isolation between application components
Security Aspects for On-Device Models
- Safeguarding models against extraction or tampering attempts
- Implementing secure sandboxing and managing permissions
- Threat modeling specific to mobile AI systems
Compliance and Regulatory Adherence
- Implications of GDPR, HIPAA, and financial sector regulations
- Documenting privacy-by-design methodologies
- Maintaining audit trails without compromising user data privacy
Testing and Verifying Privacy Guarantees
- Testing workflows to detect unintended data leaks
- Assessing the balance between accuracy and privacy
- Ongoing validation across successive app updates
Deploying and Maintaining Privacy-Focused AI Applications
- Handling updates to on-device models
- Monitoring long-term performance and compliance status
- Preparing applications for evolving regulatory landscapes
Wrap-up and Path Forward
Requirements
- Fundamental knowledge of mobile or general application development
- Proficiency in Python, Kotlin, or Swift
- Basic awareness of AI or machine learning principles
Target Audience
- Enterprise development teams
- Compliance and regulatory officers
- Developers creating applications for sensitive contexts
Testimonials (1)
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