Kubernetes Fundamentals
Develop the skills to deploy a basic application on a Kubernetes lab cluster through a learning path centred on Kubernetes Fundamentals. Explore concepts, guided practice and an applied project.
Build practical Kubernetes Fundamentals skills.
Skills and knowledge developed in this course.
- Cluster model
- Pods and controllers
- Application configuration
- Service discovery
- Storage and health
- First cluster project
About this course
This course develops practical capability in Kubernetes Fundamentals. Its course-specific content covers Cluster model, Pods and controllers, Application configuration, Service discovery, followed by an applied project focused on deploy a basic application on a kubernetes lab cluster. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Learners starting in containers & kubernetes and professionals who want an organized foundation before more advanced work.
Before you start
Basic computer literacy and comfort using the relevant operating system. No prior production experience is assumed; any lab accounts or software are confirmed before training.
Deploy a basic application on a Kubernetes lab cluster
Deliver deploy a basic application on 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 model
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- Control plane and worker responsibilities
- API objects and declarative manifests
Practical exerciseApply cluster model to the deploy a basic application on a kubernetes lab cluster and capture the validation evidence.
02Pods and controllers
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- Pod specification and lifecycle
- Deployments and replica management
Practical exerciseApply pods and controllers to the deploy a basic application on a kubernetes lab cluster and capture the validation evidence.
03Application configuration
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- ConfigMaps and Secrets
- Environment variables and volume mounts
Practical exerciseApply application configuration to the deploy a basic application on a kubernetes lab cluster and capture the validation evidence.
04Service discovery
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- Services and label selectors
- Cluster DNS and ingress concepts
Practical exerciseApply service discovery to the deploy a basic application on a kubernetes lab cluster and capture the validation evidence.
05Storage and health
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- Persistent-volume concepts
- Readiness, liveness and basic resource requests
Practical exerciseApply storage and health to the deploy a basic application on a kubernetes lab cluster and capture the validation evidence.
06First cluster project
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- Deploy and expose a small application
- Inspect events and recover a failed Pod
Practical exerciseApply first cluster project to the deploy a basic application on 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 model · Pods and controllers
Establish the Kubernetes Fundamentals scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Application configuration · Service discovery
Apply the core Kubernetes Fundamentals 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 deploy a basic application on a kubernetes lab cluster. - 04Learning milestone 4 In progress
Deliver the applied project
Complete deploy a basic application on 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 ↗