This lab will provide access to an Openshift cluster running the F5 AI Gateway solution. We will walk through how the F5 AI Gateway routes requests to different models by either allowing them to pass through or, more importantly, securing them via prompt injection checking. We have also added a couple of other tests that will allow for language detection of that input that the F5 AI Gateway can also detect.

In this hands-on lab, learners will explore how to build and configure a data-driven automation workflow using Ansible Automation Platform and NetBox. The lab guides users through practical exercises that demonstrate how real-time source of truth changes can trigger automated configuration. Participants will configure NetBox event rules and webhooks to emit actionable events, set up Event-Driven Ansible event streams to receive and process those events, and create rulebook activations that respond intelligently. By the end of the lab, learners will have a working solution that tightly integrates their source of truth with automation workflows—enabling scalable, responsive infrastructure management.

AI has taken center stage in the automation landscape, transforming how we develop and manage infrastructure. In this hands-on lab, you'll explore how to harness the innovative capabilities of Red Hat Ansible Lightspeed with IBM watsonx Code Assistant—a powerful generative AI service designed to accelerate your Ansible content creation and maintenance. Guided step-by-step, you'll set up and utilize this service within your local development environment using Visual Studio Code, empowering you to automate faster and smarter.

Learn to automate NetApp ONTAP using Ansible. This lab provides an overview of GIT and Ansible to understand how they work together to simplify the automation of NetApp storage solutions.

In this lab environment, you will walk through deploying your own OpenShift 4.11 cluster on vSphere. The deployment method walked through uses the 'Installer-Provisioned Infrastructure' method. Once deployed, use some of our linked use cases or carve your path to experience what OpenShift offers.

This lab will provide access to an Openshift cluster running the F5 AI Gateway solution. We will walk through how the F5 AI Gateway routes requests to different models by either allowing them to pass through or, more importantly, securing them via prompt injection checking. We have also added a couple of other tests that will allow for language detection of that input that the F5 AI Gateway can also detect.

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 will walk you through one of Intel's AI Reference Kits to develop an optimized semantic segmentation solution based on the Visual Geometry Group (VGG)-UNET architecture, aimed at assisting drones in safely landing by identifying and segmenting paved areas. The proposed system utilizes Intel® oneDNN optimized TensorFlow to accelerate the training and inference performance of drones equipped with Intel hardware. Additionally, Intel® Neural Compressor is applied to compress the trained segmentation model to further enhance inference speed. Explore the Developer Catalog for information on various use cases.

In this hands-on lab, you'll learn how to set up a disconnected installation of OpenShift, allowing you to deploy and manage OpenShift clusters in environments without direct internet access. You'll begin by downloading the necessary OpenShift components on a connected host, transferring them to a disconnected host, and proceeding with installing OpenShift on bare metal servers using the agent-based installer. By the end of this lab, you'll have a fully functional, disconnected OpenShift cluster. This lab is ideal for users working in secure or isolated environments where external connectivity is restricted or non-existent.

IBM Storage Fusion HCI is a hyperconverged infrastructure solution that delivers integrated compute, networking, storage, and management functionalities. This demonstration focuses on navigating the IBM Storage Fusion HCI environment and highlights its core interfaces and administrative tools.

If you are familiar with Ansible and want to learn how to use Ansible with the Pure Storage FlashArray, continue on with this lab that demonstrates how to simplify automation of a Pure Storage FlashArray. *** If you are a Storage admin, new to automation, and want to learn how to automate your Pure Storage environment using Ansible, check out this lab instead that teaches the basics of Ansible from a storage admin point of view.- "Ansible Automation Workshop - Pure Ansible Lab" (https://www.wwt.com/lab/ansible-automation-workshop-pure-ansible-lab)

This lab is designed to expose network engineers to Arista-oriented automation techniques. The focus is mid-level programmability leveraging CloudVision Portal, Ansible, Jinja2,and Python.