We offer private, instructor-led Kubernetes training for developers preparing to make their first supported workload changes within an existing engineering team.
New colleagues can bring substantial software experience with different levels of container and Kubernetes knowledge. Their starting point needs to connect to the task they will actually perform.
LearnKube follows a sample service from a guided deployment to a change the learner can explain with less prompting. Practice and reference material support the next learning step.
Hands-on learning and the skills engineers take back to work.
Preview: course-wide figures are not yet available.
Developers can understand application code without knowing how Kubernetes turns desired state into observed status. Before a supported release, they need to connect the workload definition to controllers, Pods, and readiness. The course follows one service through a guided change, then asks learners to explain the evidence that distinguishes a submitted update from usable application behavior.
I ask a new colleague what they expect to observe after a deployment command. A correct prediction and an explanation of the actual result reveal more about the next learning step than a copied command that succeeds.
— Daniele Polencic, LearnKube founder and Kubernetes instructor
| Role milestone | Required knowledge | Practice/check |
|---|---|---|
| Read a workload definition | Desired state and controllers | Explain the requested change |
| Complete a guided release | Pods and readiness | Compare expected and observed |
| Investigate a simple mismatch | Events and workload status | Explain the next check |
| Revisit the task later | Prerequisites and references | Repeat with less prompting |
LearnKube delivered repeated Kubernetes workshops for Titansoft. Further requests linked continued learning to newer team members and, later, new developers joining the work.
Bacon described the progression and teaching in a completed course:
The course content ranges from simple to difficult, from shallow to deep. The teacher is very patient in teaching and provides a lot of relevant resources
— Bacon, Titansoft.
This proposed agenda starts from what the group can already explain. Familiar material can be shortened, while missing foundations receive guided practice before the next task.
Day 1
We connect images, Pods, Deployments, Services, and probes to the sample application. Learners complete a guided release and distinguish the requested state from the response the application provides.
Hands-on exercises
Day 2
We use Helm and compare Kustomize to make environment settings explicit. Learners connect generated resources to the control plane, controllers, and nodes before repeating a small configuration task.
Hands-on exercises
Day 3
We trace DNS, Services, ingress, and network policy through the same application. Scheduling and service mesh examples show where an application learner needs a different check or platform assistance.
Hands-on exercises
Day 4
We connect configuration, state, autoscaling signals, and permissions to the learner's workload. Each participant completes a bounded role exercise and identifies the parts that still require guidance.
Hands-on exercises
Your learners' starting knowledge, first responsibilities, and plans for later practice can shape the agenda. Get in touch to tailor the learning path to your team.
When a learner treats a successful apply command as proof that the service works, the instructor can compare the declared resources with readiness and a request. That explanation establishes what to inspect before the learner attempts a similar change with less support.
Tell us who is joining the work, what they already know, and which Kubernetes task they need to perform next. We will recommend the starting depth, practice, and references for a repeatable learning path.