Machine Learning with Arduino Course
Gain mastery in TinyML on Arduino to transform raw sensor data into intelligent, real-time decisions. Master signal conditioning, feature extraction, lightweight models, and direct deployment to develop efficient, production-ready embedded systems for your electronics projects. This course equips you with practical skills for building smart, low-power devices confidently.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course teaches you to capture and preprocess sensor data, engineer effective features, and develop compact TinyML models that perform reliably on microcontrollers. You will explore FFT and time-domain methods, lightweight neural networks, model compression techniques, Arduino sketch deployment, and on-device testing to build precise, energy-efficient smart systems with ease.
Elevify advantages
Develop skills
- Design TinyML models: create compact classifiers suited for Arduino constraints.
- Build sensor ML pipeline: capture, filter, and window raw signals for machine learning.
- Deploy on edge: export, quantize, and integrate ML models into Arduino sketches.
- Enable real-time inference: program fast loops, interrupts, and quick ML decisions.
- Evaluate on-device: measure timing, memory, accuracy, and potential failures.
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.What our students say
Your classes 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 CarloDigital Marketing Student
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The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

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