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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 you to capture and preprocess sensor data, engineer effective features, and develop compact TinyML models that perform reliably on microcontrollers. You will explore FFT and time-domain methods, lightweight neural networks, model compression techniques, Arduino sketch deployment, and on-device testing to build precise, energy-efficient smart systems with ease.

Elevify advantages

Develop skills

  • Design TinyML models: create compact classifiers suited for Arduino constraints.
  • Build sensor ML pipeline: capture, filter, and window raw signals for machine learning.
  • Deploy on edge: export, quantize, and integrate ML models into Arduino sketches.
  • Enable real-time inference: program fast loops, interrupts, and quick ML decisions.
  • Evaluate on-device: measure timing, memory, accuracy, and potential failures.

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 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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