Machine Learning Foundations: Prototyping with Edge Impulse

Course details

Explore the world of machine learning on edge devices with this hands-on course. Robert Gallup—a technologist, designer, and maker—guides you through basic machine learning concepts and workflow. Set up the necessary tools and hardware to develop a voice-driven prototype using the Arduino Nano 33 BLE Sense microcontroller. Discover how to use the Edge Impulse platform to acquire data, train a machine learning model, and generate code for your prototype. Upload and modify the code to complete your prototype using the Arduino IDE. Finally, explore practical challenges in deploying ethical machine learning on edge devices. By the end of this course, you'll be equipped to create your own intelligent prototypes, enhancing your technical portfolio and practical problem-solving abilities.

Concepts

0. Introduction

01 - Welcome
02 - Course resources

1. Machine Learning Overview

03 - Introduction to machine learning on the edge
04 - Machine learning elements
05 - Machine learning workflow
06 - Machine learning ethics

2. Prototyping

07 - Prototyping overview
08 - The prototype plan

3. Preparing Software and Hardware

09 - Set up the Arduino IDE
10 - Arduino hardware
11 - Run a ML demo

4. Defining and Training a ML Model

12 - Create a project in Edge Impulse
13 - Acquiring data
14 - Define the machine learning pipeline
15 - Training the model

5. Defining the ML Model

16 - Deploying to your computer
17 - Deploying to Arduino
18 - Running the model

6. Extending Your Prototype

19 - Adding LED functionality
20 - Adding keyboard functionality
21 - Challenge - Add another keyword
22 - Solution - Add another keyword

Conclusion

23 - From prototype to production
24 - Final thoughts