Embedded Knowhow Live Online Workshops
23 Sep 2020 - 23 Sep 2020
The Embedded KnowHow Live Online Workshops this September feature live presentations with Doulos expert trainers, with interactive Q&A throughout and exercises that you can follow yourself to reinforce the learning. You will also be able to interact online with other industry experts and technology partners through the day and you will take away some valuable resources to use in your own working environment.
Date & Time:
- Wed, September 23, 2020
- 08:30 - 3:30 PM MST
Ticket cost: $199.00
Choose one stream of training:
For full details about each stream - click here .
Deep Learning for Electronic Engineers
Python - Machine Learning vs Deep Learning - Training & Deployment - Pretrained models & transfer learning
Moving to C++ in Embedded Systems
Language feature comparison - Basics of Object Oriented design - Language features for optimization - Standard libraries and pre-written code
Embedded Linux Security
Common Attacks and Mitigations - Coding Standards - Defensive Programming
Intro to embedded Linux & Yocto - More on Yocto (layers & recipes) - Linux User & Kernel Build - Linux User & Kernel Debug
Secure ROI of your IoT Solution with Embedded Computing
Join Avnet experts for a webinar on how embedded computing affects ROI in IoT solution development. You'll leave with a better understanding of how important it is to select the right embedded computing technology to avoid hidden costs.
Capacitive touch controls boost automotive circuit reliability
Many automotive applications require some degree of reliable human control. While capacitive touch controls are more reliable and safer than mechanical switches, they are also subject to EMI interference. Join engineers from Avnet and ON Semiconductor in a free-wheeling discussion on capacitive touch controls for cars and how to make them road-ready.
Verify Xilinx RFSoC Gen-3 System Performance in mmWave Applications
Avnet and MathWorks engineers will demonstrate how to capture, measure and characterize RF performance in millimeter-wave bands using MATLAB and Simulink and the Avnet mmWave Radio Development Kit with Xilinx Zynq UltraScale+ RFSoC Gen-3.