OpenShift Training in Nevada

In this instructor-led, live training in Nevada (online or onsite), participants will learn how to install, configure, and manage OpenShift Container Platform v4.

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

- Undersand OCI (Open Containers Initiative) and its implications for using container enginees such as Docker in OpenShift.
- Understand the relationship between the different versions of OpenShift (OKP, OpenShift Container Platform, Red Hat OpenShift, etc.).
- Create, configure, manage, and troubleshoot an OpenShift cluster.
- Implement Openshift's self-manage capabilities to improve platform stability and consistency.
- Secure OpenShift Container Platform.
- Monitor and gather metrics.
- Manage storage.
- Upgrade an OpenShift Container Platform 3 cluster to OpenShift Container Platform 4.

In this instructor-led, live training in Nevada, 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 public cloud or on a hosted cloud.
- Secure OpenShift Container Platform
- Monitor and gather metrics.
- Manage storage.

In this instructor-led, live training in Nevada (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:

- Undersand OCI (Open Containers Initiative) and its implications for using container enginees 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.

In this instructor-led, live training in Nevada, 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 public cloud or on a hosted cloud.

This instructor-led, live training in Nevada (online or onsite) is aimed at DevOps engineers who wish to use OpenShift and Jenkins to build, deploy, and manage container-based applications.

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

- Build Jenkins pipelines in OpenShift.
- Automate the lifecycle management for containerized applications and cluster infrastructures.
- Orchestrate the deployment of CI/CD pipelines.

This instructor-led, live training in Nevada (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an OpenShift on-premise or hybrid cloud.

- By the end of this training, participants will be able to:
- Install and configure Kubernetes and Kubeflow on an OpenShift cluster.
- Use OpenShift to simplify the work of initializing a Kubernetes cluster.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Call public cloud services (e.g., AWS services) from within OpenShift to extend an ML application.

In this instructor-led, live training in Nevada (onsite or remote), participants will learn how to 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.

In this instructor-led, live training in Nevada (onsite or remote), participants will learn learn to create, update, and maintain containerized applications using OKD.

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

- Deploy a containerized web application to an OKD cluster on-premise or in the cloud.
- Automate part of the software delivery pipeline.
- Apply the principles of the DevOps philosophy to ensure continuous delivery of an application.