Machine Learning with Arduino Course
Master TinyML on Arduino and turn raw sensor data into smart, real-time decisions. Learn signal conditioning, feature extraction, lightweight models, and on-board deployment to build efficient, production-ready embedded intelligence for electronics projects.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Machine Learning with Arduino Course shows you how to capture and condition sensor data, engineer efficient features, and build compact TinyML models that run reliably on microcontrollers. Learn FFT and time-domain techniques, lightweight neural networks, model compression, deployment to Arduino sketches, and on-device testing so you can create accurate, low-power smart systems quickly and confidently.
Elevify advantages
Develop skills
- TinyML model design: build compact classifiers tailored to Arduino limits.
- Sensor ML pipeline: acquire, filter, and window raw signals for learning.
- Edge deployment: export, quantize, and embed ML models into Arduino sketches.
- Real-time inference: code fast loops, interrupts, and low-latency ML decisions.
- On-device evaluation: profile 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.What our students say
Your classes 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... thank you for everything you do, 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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