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Machine Learning with Arduino Course

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

What will I learn?

This course teaches capturing and conditioning sensor data, engineering efficient features, and building compact TinyML models for microcontrollers. You will master FFT and time-domain techniques, lightweight neural networks, model compression, Arduino sketch deployment, and on-device testing to develop accurate, low-power smart systems with speed and confidence.

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 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... I appreciate 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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