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Machine Learning with Arduino Course

Machine Learning with Arduino Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This course teaches capturing and processing sensor data, creating efficient features, and developing small TinyML models for microcontrollers. You will explore FFT and time-domain methods, simple neural networks, model optimisation, Arduino deployment, and device testing to build precise, energy-efficient smart devices with confidence.

Elevify advantages

Develop skills

  • Design compact TinyML models suited for Arduino constraints.
  • Build sensor data pipelines to acquire, filter, and prepare signals for ML.
  • Deploy ML models on edge devices by exporting, quantising, and integrating into Arduino code.
  • Implement real-time inference using fast loops, interrupts, and quick ML predictions.
  • Evaluate models on-device by checking timing, memory use, 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 several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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 supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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