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Machine Learning with Arduino Course

Machine Learning with Arduino Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

The Machine Learning with Arduino Course shows you how to capture and condition sensor data, engineer efficient features, and build compact TinyML models that run reliably on microcontrollers. Learn FFT and time-domain techniques, lightweight neural networks, model compression, deployment to Arduino sketches, and on-device testing so you can create accurate, low-power smart systems quickly and confidently.

Elevify advantages

Develop skills

  • TinyML model design: build compact classifiers tailored to Arduino limits.
  • Sensor ML pipeline: acquire, filter, and window raw signals for learning.
  • Edge deployment: export, quantize, and embed ML models into Arduino sketches.
  • Real-time inference: code fast loops, interrupts, and low-latency ML decisions.
  • On-device evaluation: profile timing, memory, accuracy, and failure modes.

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 classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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