AKS training for operations teams with a hypervisor background

We offer private, instructor-led training for operations engineers who know on-prem hypervisors and need to take on Kubernetes responsibilities on an existing AKS platform.

Your team understands hosts and virtual machines, while colleagues can already have AKS experience. The group needs a shared workload model, not an assumption that everyone starts with the same Kubernetes knowledge.

LearnKube connects familiar maintenance and support tasks to Pods, controllers, and Azure operations. Your engineers will examine how workload behavior changes when capacity or infrastructure becomes unavailable.

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 infrastructure knowledge to workload operation

Operate a representative workload by understanding Pods, controllers, and node responsibilities, so engineers can explain how Kubernetes maintains the application's declared state.
Preserve behavior during maintenance by examining replicas, placement, and data dependencies, so a node operation has an understood effect on the workloads it hosts.
Diagnose the correct failure layer by inspecting node conditions, Pod events, endpoints, and storage, so operators distinguish infrastructure faults from workload or policy problems.
Share responsibilities across experience levels by documenting operator, platform-engineer, and application-team actions, so incidents have a common vocabulary and clear handoffs.

A node is capacity for workloads, not the workload itself

A hypervisor view starts with machines and their available resources. Kubernetes nodes supply capacity for Pods whose lifecycle is coordinated by controllers. On AKS, control-plane and node-pool upgrades have different scopes. Operators need to connect these infrastructure changes to workload replacement, placement, and data access on the platform they already support.

A node restart is not the same as application recovery. I want operators to predict which controller replaces a failed Pod and which data or capacity requirements can stop the replacement from becoming useful.
— Daniele Polencic, LearnKube founder and Kubernetes instructor

Current task or requirement	New concept or decision	Practice
Inspect a virtual machine	Nodes and workload status	Relate Pods to their node
Restore a failed service	Controllers and replacement Pods	Trace workload recovery
Plan platform maintenance	Upgrade scope and disruption	Review a node change
Escalate an application issue	Cross-layer support evidence	Identify the responsible team

Case Study: Youi

Youi needed Kubernetes and AKS skills for operations staff from an on-prem hypervisor background. They learned alongside platform and DevOps engineers who already had some AKS experience.

The team wanted operational topics for the first group and more development-related Kubernetes material for the second. LearnKube delivered a private course. The buyer praised the delivery and also commented on the pace of the later material:

Thanks Dan, from all accounts everyone was really impressed with the training and Amins delivery of it.
The last 2 days were fairly packed with content and could have potentially been better split over 3.
— Daniel, Youi.

A recommended four-day workshop for shared AKS responsibilities

This proposed agenda establishes common foundations before adding role-specific depth. We select the priority exercises around the duties each group needs to perform on the existing platform.

Day 1

From hosts and VMs to workload resources

We compare containers with VMs, then connect Pods, Deployments, Services, and probes. You will examine release behavior while separating the health of a workload from the condition of its node.

Hands-on exercises

Deploy a representative application and identify its workload and node resources.
Diagnose an unready application without assuming that the underlying VM has failed.

Day 2

Templates, controllers, and platform components

You will use Helm and compare Kustomize for repeatable configuration. We explain control-plane and kubelet responsibilities, with controller and operator concepts at a depth appropriate to the group's experience.

Hands-on exercises

Package a workload's configuration and identify the resources it creates.
Observe a controller replace a missing workload instance and trace the resulting state changes.

Day 3

Network paths and maintenance placement

We connect DNS, Services, ingress, and Azure traffic integrations to familiar network questions. You will examine network policies, service mesh use cases, node-pool placement, and the constraints relevant to maintenance.

Hands-on exercises

Trace an unavailable service through its endpoint, Pod, and network path.
Rehearse a controlled node drain and inspect why replacement workloads can or cannot start.

Day 4

State, scaling, permissions, and operational handoffs

You will examine secrets, persistent storage, recovery requirements, and autoscaling metrics. We distinguish workload demand from node capacity and connect Azure operations, authentication, and RBAC to the team's responsibilities.

Hands-on exercises

Verify a replacement workload's access to its required data.
Classify a maintenance or access failure and prepare the evidence needed by the responsible team.

Your AKS responsibilities, current experience levels, and application-support boundaries can shape the agenda. Get in touch to tailor the workshop to your operations team's AKS adoption.

Explain why a recovered machine can still leave a service unavailable

When an operator assumes that a restarted node completes recovery, the instructor can inspect the workload controller, replacement Pods, and storage requirements. The exercise gives operators and platform engineers a shared explanation of what still needs to happen.

Start with the duties your operators need to perform

Tell us which AKS tasks your team will own, what Kubernetes experience its members have, and how it works with platform engineers. We will recommend an agenda that connects those starting points.

Discuss your team's training