1. Biometric Sensing Fundamentals
4 lessonsUnderstand how different sensing modalities capture identity signals and their engineering tradeoffs.
2. Feature Extraction and Template Creation
4 lessonsLearn how raw sensor data becomes a stable, matchable identity representation.
3. Matching Algorithms and Threshold Tuning
5 lessonsDesign matching logic that balances security, usability, and performance constraints.
4. Adversarial Resistance and Liveness Detection
5 lessonsBuild defenses against spoofing attacks using photos, masks, and replay techniques.
5. Secure Storage and Privacy Architecture
5 lessonsImplement on-device template protection using secure enclaves and trusted execution environments.
6. Hardware Integration and System Constraints
4 lessonsNavigate power, thermal, and space tradeoffs when embedding biometric sensors in devices.
7. User Experience and Deployment Strategy
5 lessonsDesign enrollment, error handling, and accessibility features that build user trust.
Want the full course when it launches? Join the waitlist and we will notify you.