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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 small TinyML models that work well on microcontrollers. You will learn FFT and time-based methods, simple neural networks, model shrinking, Arduino deployment, and device testing to build precise, low-power smart devices fast and surely.

Elevify advantages

Develop skills

  • Design TinyML models: create small classifiers suited to Arduino constraints.
  • Build sensor ML process: collect, clean, and segment raw data for machine learning.
  • Deploy on edge: convert, reduce size, and integrate ML models into Arduino code.
  • Run real-time predictions: program quick cycles, interrupts, and fast ML outputs.
  • Test on device: check speed, memory use, correctness, and error cases.

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 purchased 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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