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Level 4 · Master Master

Goal: run edge AI in production — fleets of devices receiving OTA model updates, monitored for drift, learning on-device where it makes sense, with hand-optimized kernels, ultra-low-power always-on inference, and the privacy/compliance story handled.

Modules

  1. Production Edge AI Architecture
  2. OTA Model Updates & Versioning
  3. Fleet Monitoring & Model Drift
  4. On-Device Learning & Personalization
  5. Federated Learning at the Edge
  6. Custom Kernels & CMSIS-NN Optimization
  7. Ultra-Low-Power Always-On Inference
  8. Hardware Co-Design & NPU Selection
  9. Privacy, Safety & Compliance for Edge AI
  10. Capstone — Production Edge AI Product

Content status

Level 4 module content is being written — every page below has its scope defined and will be filled in next. Levels 1–3 are the prerequisites for this level.