Edge AI Course
This course provides hands-on training in developing efficient Edge AI solutions for audio event detection, covering model design, optimization, data preparation, deployment, and real-world testing 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 equips you with practical skills to build, optimise, and deploy audio event detection models directly on devices. You will learn robust data preparation, augmentation, and labelling, design compact architectures, and apply pruning, quantisation, and distillation. The course also covers on-device pipelines, power management, realistic testing, monitoring, and safe post-deployment updates so your models remain efficient and reliable in real-world 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 techniques.
- 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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