Machine Learning with Arduino Course
Gain mastery in TinyML on Arduino to transform raw sensor data into smart, real-time decisions. Discover signal conditioning, feature extraction, lightweight models, and on-board deployment to develop efficient, production-ready embedded intelligence for your electronics projects.

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 workloadWhat our students say
Your lessons are perfect. I got 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, and I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

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 CarloPrompt Engineering Student
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