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Machine Learning with Arduino Course

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

What will I learn?

Discover how to process sensor data, create features, and develop TinyML models for microcontrollers. Explore FFT methods, neural networks, model optimization, Arduino integration, and device testing to build reliable low-power intelligent devices.

Elevify advantages

Develop skills

  • Design compact TinyML models for Arduino constraints.
  • Build sensor data pipelines for machine learning.
  • Deploy and quantize ML models to Arduino sketches.
  • Implement real-time inference with low latency.
  • Evaluate model performance on device.

Suggested summary

Before starting, you can change the chapters and 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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