Machine Learning with Arduino Course
Gain expertise in TinyML for Arduino to transform sensor data into real-time smart decisions. Master signal processing, feature engineering, compact models, and embedded deployment for efficient, reliable electronics projects that run on low-power microcontrollers.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches capturing and preparing sensor data, creating efficient features, and developing small TinyML models for reliable microcontroller operation. Explore FFT and time-domain methods, slim neural networks, model optimisation, Arduino deployment, and device testing to build precise, energy-efficient smart systems with confidence.
Elevify advantages
Develop skills
- Design compact TinyML models suited to Arduino constraints.
- Process sensor data through acquisition, filtering, and windowing for ML.
- Deploy ML models to Arduino by exporting, quantising, and integrating.
- Implement real-time inference with efficient loops and interrupts.
- Evaluate models on-device for timing, memory, accuracy, and issues.
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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