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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 TinyML models for microcontrollers. Explore FFT and time-domain methods, lightweight neural networks, model optimisation, Arduino deployment, and on-device testing to build reliable, low-power intelligent systems with confidence.

Elevify advantages

Develop skills

  • Design TinyML models suited for Arduino constraints.
  • Build sensor ML pipelines to process raw signals for training.
  • Deploy ML models to Arduino by exporting and quantizing.
  • Implement real-time inference with fast loops and interrupts.
  • Evaluate models on-device for timing, memory, and accuracy.

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 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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