Red Hat OpenShift AI, formerly known as Red Hat OpenShift Data Science, is a platform designed to streamline the process of building and deploying machine learning (ML) models. It caters to both data scientists and developers by providing a collaborative environment for the entire lifecycle of AI/ML projects, from experimentation to production. In this lab, you will explore the features of OpenShift AI by building and deploying a fraud detection model. This environment is built ontop of Dell R660's and Intel Xeon's 5th generation processors.

This lab focuses on implementing live person tracking using Intel's OpenVINO™, a toolkit for high-performance deep learning inference. The objective is to read frames from a video sequence, detect people within the frames, assign unique identifiers to each person, and track them as they move across frames. The tracking algorithm utilized here is Deep SORT (Simple Online and Realtime Tracking), an extension of SORT that incorporates appearance information along with motion for improved tracking accuracy.

Welcome to WWT's introduction to Ansible automation for the Dell PowerStore storage platform. In this lab, you will learn the basics of how to automate fundamental Dell PowerStore storage array administrative tasks utilizing Ansible. This lab is estimated to take under 1 hour to complete. The intended lab audience is a systems engineer with a basic understanding of PowerStore and Ansible components.

Dell PowerProtect DD Virtual Edition (DDVE) is the software-defined data protection offering within the Dell PowerProtect DD Series. DDVE provides flexibility while maintaining all the core differentiating protection storage capabilities. This lab will demonstrate the deployment and initial configuration of a PowerProtect DD Virtual Edition instance within a VMware vSphere environment.