Edge AI Course
This course equips you with hands-on expertise in developing efficient Edge AI solutions for audio event detection, covering model design, optimization, data handling, deployment, and real-world maintenance to ensure reliable performance on resource-constrained devices.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Edge AI Course teaches you practical skills to build, optimise, and deploy audio event detection models right on devices. You will learn strong data preparation, augmentation, and labelling, design small architectures, and use pruning, quantisation, and distillation. The course also covers on-device pipelines, power management, real-world testing, monitoring, and safe updates after deployment so your models remain efficient and reliable in actual use.
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 the 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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