Machine Learning with Arduino Course
Gain expertise in TinyML for Arduino to convert sensor data into intelligent real-time actions. Master signal processing, feature engineering, compact models, and direct deployment to create efficient embedded systems for your electronics projects.
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This course teaches capturing and processing sensor data, creating efficient features, and developing small TinyML models for microcontrollers. You will explore FFT and time-domain methods, simple neural networks, model optimisation, Arduino deployment, and device testing to build precise, energy-efficient smart devices with confidence.
Elevify advantages
Develop skills
- Design compact TinyML models suited for Arduino constraints.
- Build sensor data pipelines to acquire, filter, and prepare signals for ML.
- Deploy ML models on edge devices by exporting, quantising, and integrating into Arduino code.
- Implement real-time inference using fast loops, interrupts, and quick ML predictions.
- Evaluate models on-device by checking timing, memory use, accuracy, and issues.
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 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
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.
Mariana FerresPhotography Student
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The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.
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