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Edge AI Course

Edge AI Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

The Edge AI Course provides 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 stay efficient and reliable in real 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.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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