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Machine Learning with Arduino Course

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

What will I learn?

This course teaches capturing and preparing sensor data, creating efficient features, and developing compact TinyML models for reliable microcontroller operation. You'll master FFT and time-domain methods, lightweight neural networks, model compression, Arduino deployment, and on-device testing to build precise, low-power intelligent systems swiftly.

Elevify advantages

Develop skills

  • Design TinyML models: create small classifiers suited to Arduino constraints.
  • Build sensor ML pipelines: collect, clean, and segment signals for training.
  • Deploy on edge: convert, reduce, and integrate models into Arduino code.
  • Enable real-time predictions: program quick cycles, handlers, and swift decisions.
  • Assess on-device: measure speed, storage, precision, and error patterns.

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 my interest without needing to change platforms... I thank you 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, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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