Machine Learning Foundations: Prototyping on the Edge

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Robert Gallup

1:21:39

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01 - Introduction

01 - Welcome.mp4

00:48

02 - Course resources.mp4

02:14

02 - 1. Machine Learning Overview

01 - Introduction to machine learning on the edge.mp4

03:54

02 - Machine learning elements.mp4

03:31

03 - Machine learning workflow.mp4

02:29

04 - Machine learning ethics.mp4

03:19

03 - 2. Prototyping

01 - Prototyping overview.mp4

03:16

02 - The prototype plan.mp4

02:34

04 - 3. Preparing Software and Hardware

01 - Set up the Arduino IDE.mp4

03:00

02 - Arduino hardware.mp4

03:55

03 - Run a machine leaning demo.mp4

03:24

05 - 4. Defining and Training an ML Model

01 - Create a project in Edge Impulse.mp4

03:25

02 - Acquiring data.mp4

06:54

03 - Define the machine learning pipeline.mp4

01:28

04 - Training the model.mp4

05:54

06 - 5. Deploying the ML Model

01 - Deploying to computer.mp4

03:17

02 - Deploying to Arduino.mp4

01:06

03 - Running the model.mp4

02:49

07 - 6. Extending Your Prototype

01 - Adding LED functionality.mp4

04:53

02 - Adding keyboard functionality.mp4

04:25

03 - Challenge Add another keyword.mp4

01:15

04 - Solution Add another keyword.mp4

09:49

08 - Conclusion

01 - From prototype to production.mp4

02:33

02 - Final thoughts.mp4

01:27

Description

As AI and compute power continue to grow, so does the need and opportunity for decentralized intelligence or intelligence “on the edge.” Prototyping allows product designers, product managers, and developers to focus on exploring product ideas, without a deep knowledge of theory, and tools and hardware now available make this possible. In this course, technologist, designer, and speaker Robert Gallup guides you through the process of prototyping machine learning on the edge. Robert begins with an overview of machine learning, including machine learning elements, workflow, and ethics. Next, he then discusses prototyping, and presents a scenario and plan for the voice recognition prototype developed in the course. Robert then walks you through how to prepare software and hardware, as well as how to define, train, and deploy a machine learning model. Finally, he shows you how to extend your prototype and discusses considerations in making the move from prototype to production.

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Machine Learning

Robert Gallup

Instructor's Courses

I create at the nexus of people, design, and technology. I’ve worked for startups and corporate empires. I’m a designer and coder who’s studied economics and psychology. I’ve managed game development teams, prototyped intelligent hardware products, and helped design user experiences for a car computer and an online learning platform. I’ve developed online training, presented in corporate classrooms, and led small and large workshops covering microcontroller programming and electronics. On the side, I’ve photographed in Africa, trekked the Himalayas, negotiated auto-rickshaw rides in New Delhi, and been lost on the Shinkansen in Japan. I’ve made musical instruments, performed in a classical Chinese music ensemble, played bagpipes in my basement and improvised with musical electronics and microcontrollers. With a diverse perspective and natural curiosity, I thrive exploring the frontiers of future products and experiences.

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.