Machine Learning with Arduino Course
Gain expertise in TinyML for Arduino, transforming raw sensor inputs into real-time smart actions. Cover signal processing, feature engineering, compact models, and direct deployment to craft efficient, ready-to-use embedded AI for your electronics builds. Ideal for creating responsive, power-saving devices with confidence.

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 compact TinyML models for reliable microcontroller operation. You'll master FFT and time-domain methods, lightweight neural networks, model compression, Arduino deployment, and on-device testing to build precise, low-power intelligent systems swiftly.
Elevify advantages
Develop skills
- Design TinyML models: create small classifiers suited to Arduino constraints.
- Build sensor ML pipelines: collect, clean, and segment signals for training.
- Deploy on edge: convert, reduce, and integrate models into Arduino code.
- Enable real-time predictions: program quick cycles, handlers, and swift decisions.
- Assess on-device: measure speed, storage, precision, and error patterns.
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
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