Edge AI Course
This course provides practical training in developing and deploying efficient audio event detection models for edge devices, covering data preparation, model optimization, hardware integration, and real-world testing to ensure reliable performance.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Edge AI Course equips you with hands-on skills to create, fine-tune, and roll out audio event detection models right on devices. You'll master solid data prep, boosting, and tagging, craft small-scale designs, and use trimming, scaling down, and knowledge transfer. It also tackles device-based workflows, energy control, real-life trials, oversight, and secure updates after launch to keep your models sharp and dependable in everyday action.
Elevify advantages
Develop skills
- Design edge audio models: build compact CNNs and transformers for on-device AI.
- Optimise inference on hardware: use accelerators, batching, and power-saving tricks.
- Prepare robust audio data: clean, label, and augment clips for edge event detection.
- Quantise and compress models: apply pruning, distillation, and runtime toolchains.
- Test in the wild: run A/B tests, monitor latency, and safely roll out updates.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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