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The Digi-Key Continuing Education Center, presented by Design News, is a well-established program with an extensive archive of content at your disposal. View any previous course by simply navigating through previous semester content and selecting the course of your choosing.
The CEC will get you up to speed quickly on a host of technologies you've been meaning to study via a series of 45-minute online lessons taught by our faculty of expert tutors.
As wireless technology has improved, the ability to use it in an industrial setting has presented itself. In addition, wireless technologies can be easier to install and maintain. We will look at the technologies in use and how they are adapted...
Interconnection between industrial components has long been accomplished using various wired technology solutions. Many of these are still in use and valuable today. In this lecture we will give an overview of those options, including their...
In this lecture we shall introduce the IIoT and how it is used. An understanding of the basic components in play will be given with an eye toward understanding how they may need to communicate and what those requirements might be.
Real-time machine learning network execution is not quite yet a reality in the embedded space, but it is coming close with the Google Coral module. In this session, we will explore the Google Coral module and see how it stacks up against more...
In this session, we will dig deep into machine learning with the OpenMV camera module which is based on the Arm Cortex-M7. We will examine how to set up the module and use its APIs to create a basic application that can perform simple object...
While there is a lot of hype around machine learning and AI, there are two main use cases right now that will find their way into embedded systems. In this session, attendees will learn about the different applications in the embedded space where...
Machine learning networks can require quite a few resources to train and execute. So how can this be done in an embedded environment? In this session, we will explore several system architectures that developers can use to achieve machine learning...
To a traditional embedded software developer, machine learning is something that exists far from our resource-constrained devices, but times are quickly changing. In this session, we will examine how machine learning fits into an embedded system...
The final class session will explore the concept of capturing accelerometer data with the BBC micro:bit. The data will be analyzed using an Orange 3 linear regression model. Also, using Python, a taking accelerometer as an assistive technology...
Day 4 session consists of wiring a potentiometer to a BBC micro:bit and capturing varying voltage levels from the passive electronic component. The potentiometer’s output voltage level signal will be analyzed using a linear regression model built...