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Machine Learning with Arduino Course

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

What will I learn?

This Machine Learning with Arduino Course teaches you to capture and prepare sensor data, engineer efficient features, and develop compact TinyML models that run reliably on microcontrollers. You will explore FFT and time-domain methods, lightweight neural networks, model compression, deployment to Arduino sketches, and on-device testing to build accurate, low-power smart systems with confidence and speed.

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 failure modes.

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...
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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.
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Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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André FelipePrompt Engineering Student

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