Machine Learning with Arduino Course
Gain expertise in TinyML for Arduino to convert sensor data into instant smart choices. Master data preparation, feature creation, small models, and direct device setup for effective, ready-to-use smart systems in electronics work. Build reliable intelligence that runs on tiny hardware with low energy use, perfect for real projects needing quick decisions from sensors.

from 4 to 360h 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 that work well on microcontrollers. You will learn FFT and time-based methods, simple neural networks, model shrinking, Arduino deployment, and device testing to build precise, low-power smart devices fast and surely.
Elevify advantages
Develop skills
- Design TinyML models: create small classifiers suited to Arduino constraints.
- Build sensor ML process: collect, clean, and segment raw data for machine learning.
- Deploy on edge: convert, reduce size, and integrate ML models into Arduino code.
- Run real-time predictions: program quick cycles, interrupts, and fast ML outputs.
- Test on device: check speed, memory use, correctness, and error cases.
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 purchased 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 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 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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