Learn how to run AI on Edge devices using Arduino Nano RP2040
Introduction
Overview
Train and deploy a TinyML audio classifier with Edge Impulse
Board connection and IDE setup
Program your first TinyML device
Next Steps
Learn how to run AI on Edge devices using Arduino Nano RP2040
Who is this for?
This Learning Path is for beginners in Edge AI and TinyML, including developers, engineers, hobbyists, AI/ML enthusiasts, and researchers working with embedded AI and IoT.
What will you learn?
Upon completion of this Learning Path, you will be able to:
- Understand the basics of Edge AI and TinyML.
- Collect and preprocess audio data using Edge Impulse.
- Train and deploy an audio classification model on the Arduino Nano RP2040.
- Control LEDs by turning them on and off based on model predictions.
Prerequisites
Before starting, you will need the following:
- Completion of Embedded programming with Arduino on the Raspberry Pi Pico if you’re an absolute beginner.
- An Edge Impulse Studio account.
- The Arduino IDE with the RP2040 board support package installed on your computer.
- An Arduino Nano RP2040 Connect board .