Machine Learning with Arduino Course
Gain expertise in TinyML for Arduino to transform sensor data into intelligent real-time actions. Master data conditioning, feature engineering, compact models, and direct deployment for efficient embedded systems in electronics projects. This course equips you to create reliable, low-power smart devices with confidence.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Discover how to process sensor data, create features, and develop TinyML models for Arduino. Explore FFT methods, neural networks, model optimisation, Arduino integration, and device testing to build precise, energy-efficient intelligent systems swiftly.
Elevify advantages
Develop skills
- Design TinyML models suited for Arduino constraints.
- Build sensor data pipelines for machine learning.
- Deploy ML models to Arduino devices.
- Implement real-time ML inference on edge.
- Evaluate model performance on device.
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
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