Kubernetes training close to your team's first project

We provide private, instructor-led Kubernetes training for engineers who need to use new skills in their upcoming projects.

Your engineers already have experience with applications or infrastructure. A long gap between training and the first task can make it harder to apply the learning. A specific task gives them something to revisit.

LearnKube connects a sample release to guided practice, repeated explanations, and useful references. Your team can see how this learning fits its next workplace project.

Discuss your team's training

Learning in practice

Hands-on learning and the skills engineers take back to work.

Preview: course-wide figures are not yet available.

Hands-on learning
60%
Of instruction time spent on labs and challenges.
Troubleshooting confidence
86%
Of respondents report greater confidence diagnosing Kubernetes problems.
Relevant to your work
92%
Of respondents say the course addressed their engineering responsibilities.
Skills put into practice
95%
Of respondents applied their new skills at work within 90 days.

Connect the course to a task worth repeating

Orient to the upcoming task through its workload resources and release requirements, so engineers understand the knowledge they need first.
Practice a representative release with guidance on probes and rollout observations, so learners can explain the change and its effects.
Demonstrate the reasoning again through a different release condition, so the team can identify concepts that still need support.
Retain a useful practice record through annotated observations and references, so learners can revisit the explanation before their workplace task.

Preserve the reasoning as well as the commands

A release task connects an image change to Deployment behavior and application readiness. Engineers need to know which observation supports each conclusion, not only the commands. Practice with different probes makes this reasoning clear. A short record of expected behavior gives learners a useful reference when they begin their workplace task.

I ask the learner to explain the release again with one condition changed. If the explanation depends on remembering my last command, we need another example before the task becomes a useful workplace practice.
— Daniele Polencic, LearnKube founder and Kubernetes instructor

Role milestone	Required knowledge	Practice/check
Prepare the first change	Workload and release resources	Explain the task prerequisites
Complete supported practice	Rollout and readiness behavior	Release a sample service
Repeat the reasoning	Evidence under changed conditions	Explain a probe variation
Revisit the task later	Observations and reference material	Annotate the release example

Case Study: Mehiläinen

Mehiläinen wanted broader Kubernetes capability around its production GKE environment. Before training, the buyer raised a practical concern: people needed to use their learning without a long delay.

LearnKube provided Kubernetes training. That timing concern informs this proposed learning path, which connects course practice to your team's next task.

A recommended four-day path toward the first task

This proposed agenda uses a single application release for the whole course. Daily reviews and new examples help learners explain the task before they apply it at work.

Day 1

Connect the upcoming change to workload behavior

We link container knowledge to Pods, Deployments, Services, and probes. Learners complete a guided release and explain which signs show the application is ready to handle requests.

Hands-on exercises

Deploy a reference service and describe the image, configuration, and readiness requirements.
Introduce an unready version and explain the evidence before choosing a recovery action.

Day 2

Recreate the example with fewer prompts

We use Helm and compare it with Kustomize to make the example easy to repeat. We also discuss how resource changes affect the API, controllers, and nodes.

Hands-on exercises

Repeat the release with a different configuration value and explain the generated resources.
Observe workload replacement and record which components restore the service.

Day 3

Explain a changed connection or placement condition

We follow DNS, Services, ingress, policy, and scheduling in the same application. We also talk about service mesh and how it affects traffic for the next task.

Hands-on exercises

Diagnose a connection failure without the original sequence of instructor prompts.
Explain a placement constraint and identify the platform support required to resolve it.

Day 4

Prepare the reference for later workplace use

We connect storage, credentials, scaling metrics, authentication, and RBAC to the release. Learners combine the relevant checks and identify what their workplace still needs.

Hands-on exercises

Demonstrate a release variation with explicit data and access requirements.
Record the expected observations, references, and questions to revisit before the first workplace change.

Your engineers' current skills, upcoming tasks, and opportunities for more practice can shape the agenda. Get in touch to tailor the workshop to your team's first project.

Use recap to find the explanation that did not stick

If a learner remembers a successful rollout but cannot explain why a probe failed, the instructor can repeat the example with new conditions. Comparing the two helps show which idea needs more explanation before the next practice.

Fu Soon described what he liked about the instruction at Titansoft:

Trainer recap every morning, and ask question that could be mis-understand by us. He is well prepared, and well explained.
— Fu Soon, Titansoft.

Start with the task your engineers will use next

Tell us what your engineers already know, which Kubernetes task is next, and when they can practice it. We will recommend a starting point, exercises, and references that connect the course to their work.

Discuss your team's training