Machine Learning with Arduino Course
Master TinyML on Arduino fi turn raw sensor data into smart, real-time decisions quick. Learn how to condition signals, extract features, build lightweight models, and deploy on-board to create efficient, ready-for-use embedded smarts for your electronics projects. Dis course gi yuh de tools fi build low-power intelligent systems wid confidence.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
De Machine Learning wid Arduino Course teach yuh how fi capture and prep sensor data, craft smart features, and build small TinyML models dat run smooth pon microcontrollers. Yuh wi learn FFT and time tricks, light neural networks, model squeezing, push to Arduino sketches, and test right pon device so yuh can make accurate, low-power smart systems fast and sure.
Elevify advantages
Develop skills
- TinyML model design: craft compact classifiers fit for Arduino constraints.
- Sensor ML pipeline: capture, clean, and segment raw signals for training.
- Edge deployment: convert, shrink, and load ML models into Arduino code.
- Real-time inference: program quick loops, interrupts, and swift ML choices.
- On-device evaluation: check speed, memory use, accuracy, and weak spots.
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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