Machine Learning with Arduino Course
Master TinyML on Arduino to transform raw sensor data into smart real-time decisions. Gain skills in signal conditioning, feature extraction, lightweight neural networks, model compression and on-device deployment for efficient embedded intelligence in electronics projects.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches how to capture and process sensor data, engineer features and develop efficient TinyML models for microcontrollers. Explore FFT and time-domain methods, compact neural networks, model optimisation, Arduino deployment and on-device testing to build reliable low-power smart systems.
Elevify advantages
Develop skills
- Design compact TinyML models suited to Arduino constraints.
- Build sensor ML pipelines to acquire, filter and window raw signals.
- Deploy models to edge by exporting, quantising and embedding in Arduino sketches.
- Implement real-time inference with fast loops, interrupts and low-latency decisions.
- Evaluate on-device performance including 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 a range of 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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