Kubernetes training since 2017. Before the KTP program.

LearnKube began teaching Kubernetes in 2017, before CNCF launched the Kubernetes Training Partner program in May 2018. We trained thousands of developers and worked with hundreds of engineering teams.

If you are choosing a Kubernetes training provider, consider our teaching record. Your team learns from years of experience explaining deployments, networking, storage, and failure behavior to engineers who use Kubernetes at work.

Choose LearnKube for experienced instructors, hands-on exercises, and a private course focused on your team's engineering decisions.

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

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

CNCF announced the Kubernetes Training Partner program on May 2, 2018. LearnKube's training began in 2017.

That history matters when you are entrusting us with your engineers' learning. We bring experience from thousands of developers, different starting levels, and teams working across cloud and on-premises environments. Our training clients include Sony, Bloomberg, BMW, F5, L3Harris, and Lockheed Martin.

A provider directory gives you a list of names. With LearnKube, you can review the course material, discuss its technical depth, and see how we addressed client learning needs before choosing your team's course.

Knowing a resource name is different from understanding why a workload fails. We teach containers, probes, controllers, networking, state, and scheduling as connected parts of a system.

Engineers practice following a request through the cluster, explaining a stalled rollout, and investigating why a Pod cannot run. Our architecture module includes building a cluster and taking nodes down to observe its behavior.

Our teaching experience gives your team clear explanations tied to practical questions, followed by exercises they can investigate with an instructor. The goal is understanding engineers can use when the next configuration or failure differs from the example.

Private training can run onsite or live remotely for three, four, or five days. We agree on the focus around your engineers' roles, current knowledge, and workloads. We can spend less time on familiar topics and go deeper into difficult concepts.

Each participant gets a cloud workstation during the course. Your team keeps the material and slide decks and has a private Slack channel for later questions. Learning continues when engineers return to their own systems.

  • Understand the mechanisms behind its deployments, traffic, storage, and scaling decisions.
  • Build a shared technical foundation across engineers with different experience.
  • Practice diagnosis with instructors who can explore the reasoning behind an answer.

Tell us what your engineers need to explain or change. We can turn those responsibilities into an appropriate course scope.

A proposed exercise compares an application that fails during startup with a running application that fails readiness. Engineers inspect the container state, Pod events, selected endpoints, and rollout progress.

They explain why the symptoms differ and which observation supports the next change. The instructor can then introduce a variation and ask whether the original diagnosis still holds.

The point is to connect the visible failure to the Kubernetes mechanism responsible for it. That reasoning remains useful after the lab ends and the team returns to its own applications.

Lockheed Martin's team wanted to move from using a restricted Kubernetes platform toward maintaining a cluster it could control. Its engineers needed practical understanding of the infrastructure behind the application they were developing, not simply familiarity with Kubernetes terminology.

We discussed the team's environment, application requirements, and relevant course topics. LearnKube delivered private training that connected the concepts to the responsibilities the engineers wanted to take on.

Afterward, the buyer reported that deployment-strategy ideas from the course were already helping the team address SQL database update problems. The group also intended to use the methodologies as it developed its own platform.

That is the kind of value to look for when choosing a training provider: learning that engineers can connect to an actual technical decision. Choose LearnKube for a teaching record built through real teams and practical engineering questions since 2017. We can bring that experience to the problems your engineers need to understand next.

We started in 2017, before the May 2018 launch of CNCF's Kubernetes Training Partner program. Thousands of developers trained with us across public courses and private team programs.

Yes. Tell us which tasks are familiar and which behaviors remain difficult to explain. We can shorten introductory material and concentrate on architecture, networking, diagnosis, scaling, state, or security at the depth your group needs.

Yes. Share those goals alongside the workplace responsibilities. We can explain the relevant foundations and any additional exam-specific preparation. Our private workshop uses LearnKube's own curriculum and provides a course-completion certificate.

Tell us what your engineers already know and which systems or failures they need to understand. We can propose a private course based on our Kubernetes teaching experience since 2017, with practical work focused on your team's needs.