Machine Learning with Arduino Course
Master TinyML on Arduino to transform raw sensor data into smart, real-time decisions. The course covers signal conditioning, feature extraction, lightweight models, and on-board deployment, enabling you to build efficient, production-ready embedded intelligence for electronics projects. Gain practical skills in designing compact models, processing sensor signals, deploying to edge devices, performing real-time inference, and evaluating performance on-device.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This course teaches how to capture and condition sensor data, engineer efficient features, and build compact TinyML models that run reliably on microcontrollers. You will learn FFT and time-domain techniques, lightweight neural networks, model compression, deployment to Arduino sketches, and on-device testing to create accurate, low-power smart systems quickly and confidently.
Elevify advantages
Develop skills
- Design TinyML models: create compact classifiers suited to Arduino constraints.
- Build sensor ML pipelines: acquire, filter, and window raw signals for machine learning.
- Deploy to the edge: export, quantise, and integrate ML models into Arduino sketches.
- Implement real-time inference: develop fast loops, interrupts, and low-latency ML decisions.
- Evaluate on-device: assess timing, memory usage, accuracy, and potential failure modes.
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 lessons 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... thank you for everything you do, I've already recommended you to others...
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana FerresPhotography Student
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Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
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