Kubernetes Administration
Develop the skills to operate and recover a Kubernetes lab cluster through a learning path centred on Kubernetes Administration. Explore concepts, guided practice and an applied project.
Build practical Kubernetes Administration skills.
Skills and knowledge developed in this course.
- Cluster provisioning
- Workload administration
- Cluster networking
- Persistent data
- Cluster lifecycle
- Administration assessment
About this course
This course develops practical capability in Kubernetes Administration. Its course-specific content covers Cluster provisioning, Workload administration, Cluster networking, Persistent data, followed by an applied project focused on operate and recover a kubernetes lab cluster. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with Kubernetes Administration or plan to take on responsibilities in this area.
Before you start
Working knowledge of containers & kubernetes and practical familiarity with the named platform or subject. Review the course topics before enrolment to confirm the lab starting point.
Operate and recover a Kubernetes lab cluster
Deliver operate and recover a kubernetes lab cluster. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Cluster provisioning
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- Control-plane components and kubeadm workflow
- Certificates, kubeconfig and access boundaries
Practical exerciseApply cluster provisioning to the operate and recover a kubernetes lab cluster and capture the validation evidence.
02Workload administration
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- Scheduling, taints and tolerations
- Resource requests, limits and quotas
Practical exerciseApply workload administration to the operate and recover a kubernetes lab cluster and capture the validation evidence.
03Cluster networking
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- CNI responsibilities and service traffic
- DNS and network-policy validation
Practical exerciseApply cluster networking to the operate and recover a kubernetes lab cluster and capture the validation evidence.
04Persistent data
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- Storage classes and volume claims
- Volume binding and reclaim behaviour
Practical exerciseApply persistent data to the operate and recover a kubernetes lab cluster and capture the validation evidence.
05Cluster lifecycle
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- Node maintenance and version-aware upgrades
- etcd backup and recovery concepts
Practical exerciseApply cluster lifecycle to the operate and recover a kubernetes lab cluster and capture the validation evidence.
06Administration assessment
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- Repair an original cluster fault scenario
- Verify scheduling, connectivity and data access
Practical exerciseApply administration assessment to the operate and recover a kubernetes lab cluster and capture the validation evidence.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Cluster provisioning · Workload administration
Establish the Kubernetes Administration scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Cluster networking · Persistent data
Apply the core Kubernetes Administration techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for operate and recover a kubernetes lab cluster. - 04Learning milestone 4 In progress
Deliver the applied project
Complete operate and recover a kubernetes lab cluster, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| Platform / DevOps Engineer | ₹7–13 LPA | ₹17–30 LPA | ₹34–56 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗