1. OpenShift Basics and Platform Concepts (Week 1)
- •Introduction to containers and Kubernetes
- •What OpenShift is and where it is used
- •OpenShift architecture fundamentals
- •Kubernetes vs OpenShift
- •Typical OpenShift use cases
Learn Red Hat OpenShift online with hands-on practice in Kubernetes, oc CLI, Docker/Podman, Jenkins, and Tekton Pipelines. Build the skills to deploy containerized applications, manage clusters, and work through the same tools used in OpenShift administration and DevOps roles.
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Once you finish the core OpenShift modules, the support shifts to job-ready presentation: resume shaping, role mapping, and interview practice based on the tasks you actually worked on. That matters because employers hiring for OpenShift, Kubernetes, and DevOps roles look for proof that you can operate a cluster, not just name the concepts.
The support is arranged after the project modules, so your resume and interview practice are built around deployments, pipelines, monitoring, and troubleshooting. You also get guidance on how to present the tools you used, the problems you solved, and the kind of OpenShift work that fits each role.
OpenShift professionals are hired across DevOps teams, platform engineering groups, cloud operations, and application support teams. Salary usually rises with hands-on cluster ownership, pipeline work, and troubleshooting depth.
OpenShift Average Salary by Experience
OpenShift professionals are hired across DevOps teams, platform engineering groups, cloud operations, and application support teams. Salary usually rises with hands-on cluster ownership, pipeline work, and troubleshooting depth.
OpenShift Average Salary by Experience
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Inventateq has built its training around practical lab work, guided instruction, and role-focused learning, which is what makes it a dependable choice for learners who want more than a surface-level course. For OpenShift online training, that means the lessons stay tied to the platform tasks people are expected to handle in real jobs, from cluster access to deployment and troubleshooting.
We stand apart through our commitment to:

Attend live, instructor-led classes from anywhere with the same hands-on structure as our classroom batches. Follow along step-by-step, get real-time doubt support, and revisit recordings whenever you need to.
Good fit for people moving toward cluster administration and platform support.
Helps learners who want to work with pipelines, deployments, and automation.
Useful for those adding OpenShift deployment and management skills.
Strong match for learners already comfortable with command-line work.
Covers the platform knowledge needed to troubleshoot containerized apps.
A structured entry point into Kubernetes and OpenShift roles.
Module-based format: The syllabus is split into 11 modules, so the learning path stays ordered and easy to track.
Theory plus labs: Concepts are followed by hands-on work on the same OpenShift topics.
Project stage included: The final module brings the earlier lessons together in practical scenarios.
Interview prep at the end: Resume building and interview preparation are part of the closing stage.
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OpenShift sits at the point where container orchestration, deployment automation, and production reliability meet. Teams that run cloud-native applications need people who can handle cluster access, pipelines, storage, and security without breaking the release flow.
By the end of the course, learners can talk about OpenShift with real operating knowledge. They also gain enough practical exposure to handle common platform tasks, explain design choices, and discuss their work in interviews.
You learn how cluster access works, how the console fits into day-to-day use, and how the oc CLI supports administration tasks. That gives you a practical base for platform work instead of just theory.
You practice deployments, DeploymentConfigs, services, routes, scaling, and rolling updates. These are the tasks that show whether you can run workloads on OpenShift cleanly.
You cover Docker or Podman basics, image streams, registries, image creation, and image policies. That helps you understand how applications move into the cluster.
You learn PV, PVC, storage classes, and dynamic provisioning so you can explain how applications keep data across restarts. This matters for real workloads, not just demo apps.
You work through RBAC, OAuth, SCC, secrets, and ConfigMaps. That means you can discuss who can do what, and how platform access is controlled.
You practice Tekton, Jenkins integration, BuildConfigs, logging, monitoring, and pod debugging. The result is a stronger fit for DevOps and OpenShift support roles.
The syllabus starts with containers, Kubernetes, and OpenShift basics before moving into cluster work, deployment, security, and CI/CD. That makes it manageable for learners who are new to OpenShift but willing to follow the command-line and platform concepts carefully.
There is hands-on work throughout the course, including oc CLI usage, deployment tasks, networking, storage, and pipeline setup. The final module also includes real-time projects so you can practice the pieces together.
The course includes resume building and interview preparation after the project stage. Support also focuses on the roles this syllabus naturally fits, such as OpenShift Administrator, Kubernetes Engineer, and DevOps Engineer.
Yes, the page is built for online learners and the live format is designed to be accessible from any location. You still follow the same structured syllabus and instructor-led demonstrations.
The curriculum is divided into 11 modules, starting with the basics and ending with projects and interview prep. That gives the course enough room to cover the platform properly without rushing the important parts.
You will work with Red Hat OpenShift, Kubernetes, the oc CLI, Docker or Podman, Jenkins, Tekton Pipelines, and a Helm overview. Those tools are central to the course content and show up across deployment, automation, and troubleshooting lessons.
The syllabus maps well to OpenShift Administrator, Kubernetes Engineer, DevOps Engineer, Platform Engineer, and related support roles. The projects and tools covered are chosen to help you discuss practical platform tasks in interviews.
Inventateq offers classroom training across multiple locations. Explore the branch nearest to you and check available batch timings.
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