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CEC Archive

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.

Digi-Key Design News Continuing Education Center
Continuing Education Center
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.
Highlights
June 22 - Day 2 - Designing a Hardwareless System
The running theme in embedded systems is that we need the hardware to design and build our embedded systems. Today, embedded systems can be designed on modeled without ever writing a single line of low-level software. In this session, attendees...
June 21 - Day 1 - System Level Design Philosophy
Designing an embedded system often requires that a team start at the highest levels and work their way into the details. In this session, we will explore modern design philosophy and best practices that allow a team to kickstart their design off...
May 26 - Day 3 - plcLib Timers
Day 3 will allow attendees to explore and learn about plcLib Timers.  The two basic types of plcLib timer functions, timerOn()...
April 30 - Day 5 - Running an Inference on Target
Creating a model and testing it is great, but it’s not complete until the inference is deployed on a target and ran in the real world. In this session, we will examine how to deploy a model onto an STM32 development board and integrate it with...
April 29 - Day 4 - Training a Neural Network Part 2
Training a network isn’t a trivial endeavor. It often requires as much art as it does science in order to be successful. In this session, we will continue to explore how to train a model. We will discuss how to test the model and determine how...
April 28 - Day 3 - Training a Neural Network Part 1
Once developers have the data they want to use and have captured and labeled an adequate dataset, its time to train a model. In this session, we will start to investigate the tools developers can use to build a machine learning model. We will...
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