Kubernetes delivery training for Docker-experienced consultants

We offer private, instructor-led training for consultancy engineers who know Docker and need Kubernetes foundations for broader customer delivery work.

Your team understands images and container processes. Customer engagements add workload lifecycle and platform ownership questions, including release behavior, network access, shared state, and permissions.

LearnKube connects familiar container tasks to a representative customer installation, with practical diagnosis and explanations that consultants can use during delivery and handover.

Discuss your team's training

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.

Build a foundation for customer-facing Kubernetes work

  • Deploy a reference application by connecting images to workload and Service resources, so consultants can explain what the customer platform must operate.
  • Preserve required application behavior by examining probes, traffic, and data dependencies, so a working container becomes a defined operating contract.
  • Diagnose bounded delivery problems by inspecting events, configuration, and access, so engineers can distinguish the next correction from an escalation need.
  • Explain the customer handoff by documenting responsibilities and demonstrating a routine task, so the receiving team has more than a copied manifest.

Container knowledge becomes one layer of the customer explanation

Docker experience explains image packaging and process execution. Kubernetes workload controllers add desired-state behavior, while Services separate stable access from individual Pods. Consultants must connect those mechanisms to customer requirements and ownership. A familiar container command alone does not explain who restores replicas, how requests reach them, or which platform team controls a missing dependency.

I want consultants to explain what happens after the container disappears, not only how it starts. The customer needs a clear account of controllers, traffic, and retained state before it accepts responsibility for the deployment.

— Daniele Polencic, LearnKube founder and Kubernetes instructor

Customer task or requirementKubernetes decisionPractice
Run the customer applicationImages and workload controllersDeploy a reference service
Preserve the application routeServices, selectors, and readinessTrace a request to replicas
Investigate a failed deploymentConfiguration and operating evidenceExplain a bounded failure
Transfer routine operationResponsibilities and recovery behaviorDemonstrate a customer task

Case Study: Mission Cloud

Mission Cloud's engineers already knew Docker but needed Kubernetes foundations. The consultancy wanted a practical learning approach that fit around ongoing work, with room to develop deeper capability later.

LearnKube delivered foundational team training, followed by advanced private training. Matthew described the foundational course:

The instructors were incredibly knowledgeable, open to answering questions and tailoring material to our needs.

— Matthew, Cloud Engineer at Mission Cloud.

A recommended four-day workshop for consultancy foundations

This is a new four-day recommendation for customer-delivery capability. Familiar Docker material is shortened so the team can spend more time connecting Kubernetes behavior to practical responsibilities.

Day 1

We connect existing image knowledge to Pods, Deployments, Services, and probes. You will examine what a rollout changes and how a customer can judge the application's availability.

Hands-on exercises

  • Deploy a sample service with explicit configuration and health checks.
  • Rehearse an unready release and explain the recovery option.

Day 2

You will use Helm and compare Kustomize for repeatable customer configuration. We trace the control plane, nodes, and controllers behind workload replacement.

Hands-on exercises

  • Separate reusable resources from customer-specific settings.
  • Explain which components restore a missing application replica.

Day 3

We examine DNS, Services, ingress, network policies, mesh use cases, and scheduling. Each investigation identifies a mechanism and the team responsible for the next action.

Hands-on exercises

  • Trace an application request through the reference customer environment.
  • Diagnose a connectivity or placement failure and explain the evidence.

Day 4

You will examine storage, secrets, HPA metrics, authentication, and RBAC. We connect the technical foundation to a bounded customer acceptance and handover exercise.

Hands-on exercises

  • Verify a replacement workload's data and dependency access.
  • Explain a routine operating task and its remaining platform dependencies to a receiving engineer.

Your consultants' starting knowledge, customer environments, and delivery responsibilities can shape the agenda. Get in touch to tailor the workshop to your consultancy's Kubernetes work.

Expose the responsibility hidden behind a familiar command

When a consultant assumes a running container is the whole deployment, the instructor can remove a replica and follow the recovery path. The team can explain the controller, traffic, and state behavior that the customer will need to operate.

Start with the customer work your consultants need to perform

Tell us what your engineers already know, which Kubernetes engagements they need to support, and what customers retain after handover. We will recommend a course focus and practical progression for those duties.

Discuss your team's training