Online OpenShift Training in the UAE

DO180 provides an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a focus on hands-on skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate technical professionals who wish to learn container workflows, Kubernetes primitives, and how to deploy and operate applications on OpenShift.

By the end of this training, participants will be able to:

• Build and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Use OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training in the UAE, participants will learn how to manage Red Hat OpenShift Container Platform.

By the end of this training, participants will be able to:

• Create, configure, manage, and troubleshoot OpenShift clusters.
• Deploy containerized applications on-premise, in the public cloud, or on a hosted cloud.
• Secure OpenShift Container Platform
• Monitor and gather metrics.
• Manage storage.

In this instructor-led, live training in the UAE, participants will learn how to use OpenShift Container Platform to deploy containerized applications.

By the end of this training, participants will be able to:

• Create and configure an OpenShift setup.
• Quickly deploy applications on-premise, in the public cloud, or on a hosted cloud.

In this instructor-led, live training in the UAE (onsite or remote), participants will learn how to install, configure, and manage OKD on-premise or in the cloud.

By the end of this training, participants will be able to:

• Create, configure, manage, and troubleshoot an OKD cluster.
• Secure OKD.
• Deploy containerized applications on OKD.
• Monitor the performance of an application running in OKD.
• Manage data storage.
• Quickly deploy applications on-premise or on a public cloud such as AWS.

OpenShift Container Platform v4 is an enterprise-grade Kubernetes platform engineered by Red Hat, aimed at automating the deployment, scaling, and management of containerized applications.

This instructor-led, live training (available online or onsite) is tailored for system administrators and DevOps engineers seeking to deploy, manage, and operate OpenShift clusters within production environments.

The course adopts a hands-on approach to installing and managing OpenShift 4 clusters, leveraging Operators, securing workloads, and operating applications at scale.

In this instructor-led live training in the UAE (online or onsite), participants will learn how to create, update, and maintain applications using OpenShift Container Platform.

By the end of this training, participants will be able to:

• Understand OCI (Open Containers Initiative) and its implications for using container engines such as Docker in OpenShift.
• Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
• Automate the software delivery pipeline.
• Apply DevOps principles to deliver software continuously.

This instructor-led, live training in the UAE (online or onsite) targets intermediate-level infrastructure professionals who wish to utilize Red Hat OpenShift to deploy, manage, and troubleshoot production containerized workloads.

By the end of this training, participants will be capable of managing OpenShift clusters via CLI and web console, deploying applications with container images and Kubernetes manifests, troubleshooting networking and storage issues, and configuring workloads for high availability and updates.