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Machine Learning with Arduino Course

Machine Learning with Arduino Course
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.
Workload: between 4 and 360 hours

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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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