Machine Learning with Arduino Course
Gain expertise in TinyML for Arduino to transform sensor data into intelligent real-time actions. Master signal processing, feature engineering, compact neural networks, and seamless deployment for efficient embedded systems in electronics projects.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Discover how to process sensor data, create features, and develop TinyML models for microcontrollers. Explore FFT methods, neural networks, model optimization, Arduino integration, and device testing to build reliable low-power intelligent devices.
Elevify advantages
Develop skills
- Design compact TinyML models for Arduino constraints.
- Build sensor data pipelines for machine learning.
- Deploy and quantize ML models to Arduino sketches.
- Implement real-time inference with low latency.
- 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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