Accelerate Your Career in 3 Easy Steps
Stand out from the crowd with industry-leading certificates that equip you with advanced skills and knowledge for career advancement. Even more, IEEE will be providing Professional Development Hours (or CEU) credits for this course.
Once you’ve completed your one-time registration to the program, click on each class day below that you are interested in to enroll. We’ve designed this sign-up process to be quick and simple in respect to your busy schedule. If you have any questions, we’re here for you!
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Welcome to DigiKey Continuing Education Center
Accelerate your knowledge in multiple technologies with the DigiKey Continuing Education Center, presented by Design News. Explore microcontrollers, sensors, wireless, power, and lighting, all from the convenience of your lab or office. Our expert lecturers lead interactive tutorials, allowing you to engage, collaborate, and access valuable learning materials. Even if you can’t attend live, archived courses are available. Plus, IEEE will be providing Professional Development Hours (or CEU) credits for this course.
Upgrade your skills and stay ahead in the world of design engineering today.
As the title implies, this lecture series will describe how to design and create GUIs for embedded devices using tools such as TouchGFX and B4J (Basic 4 Java). The GUI objects will target touch-enabled TFT displays that are native to the embedded device. GUI objects that run on a personal computer and directly control an embedded device will also be discussed.
This webinar course will take a research perspective using the Gemini Robotics Vision-Language-Action (VLA) model for Robot Embodied Intelligence as the guiding principle in prototyping intelligent machines. The ESP32 microcontroller, along with supporting electronic component materials, will allow participants to be engaged in building and experimenting with the VLA model. Code generation for virtual and physical modeling of kinematics and control using AI will be explored in this webinar.
I have looked at what it would take to use Eclipse and the RP2040. It can be done, but one would have to jump through hoops of fire to make it work. In my opinion, using Visual Studio Code is a much better option for the RP2040. There is a dedicated Visual Studio Code plugin for the RP2040 that allows for the building and debugging of RP2040 applications. I will abide by your decision.
For years, running a neural network on a microcontroller meant accepting a few frames per second and a model too small to be useful. The OpenMV N6 and AE3 change that, pairing Cortex-M55 cores with dedicated neural processors that run YOLOv8 object detection at real-time frame rates. This course walks through the full development pipeline in MicroPython: capturing the frame, converting and deploying a model to the NPU, training a detector for your own application, and acting on the results within a realistic power budget. Attendees leave with working scripts and a clear path from prototype to a deployed edge vision product.
IEEE Requirements
Registrants of the DigiKey Continuing Education Center, presented by Design News, are eligible to earn Professional Development Hours by fulfilling specified requirements.