Kubernetes Advanced Training
Secure, network, upgrade, back up, monitor and troubleshoot a production Kubernetes cluster end to end. Learn Kubernetes through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Kubernetes levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Kubernetes Advanced Training.
Understand where Kubernetes fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Kubernetes is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Kubernetes program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Kubernetes training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Kubernetes training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Kubernetes usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Kubernetes Advanced Training | Private team batch |
What learners should be able to do after Kubernetes training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Build and run clusters
Install, configure and upgrade kubeadm-based Kubernetes clusters with working kubectl access.
Deploy real workloads
Run stateless and stateful applications with Deployments, Services, storage, ConfigMaps, Secrets and Jobs.
Secure and troubleshoot
Apply networking, RBAC and Network Policies, then monitor, back up and troubleshoot clusters with confidence.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Kubernetes responsibilities before reviewing the detailed agenda.
Why Kubernetes matters
- Kubernetes helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Kubernetes becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Kubernetes effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Kubernetes concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Kubernetes in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Kubernetes for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Kubernetes usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Kubernetes.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: architecture, kubeadm cluster setup and first podDay 1
- Understanding the need of Kubernetes: container orchestration, self-healing, scaling and declarative desired state
- Kubernetes architecture: control plane and worker nodes, the API server as the single entry point
- Control plane (master) components: kube-apiserver, etcd, kube-scheduler, kube-controller-manager, cloud-controller-manager
- Node components: kubelet, kube-proxy and the container runtime (containerd, CRI-O) through the CRI
- Kubernetes concepts and terminology: cluster, node, pod, object, spec and status, controller, manifest, context
- Kubernetes cluster requirements: supported Linux, CPU and memory, swap, unique hostnames, required ports, container runtime
- Understanding Kubernetes clusters using kubeadm: kubeadm init, join tokens, certificates and the pod network add-on
- Demo: installing and configuring the Kubernetes control plane (master) node with kubeadm
- Demo: installing and configuring Kubernetes worker nodes and joining them with kubeadm join
- Demo: install and configure a workstation using kubectl: kubeconfig, contexts, kubectl get nodes and cluster-info
- Understanding the concept of Namespace: default, kube-system, kube-public, creating and switching namespaces
- Demo: define your first Kubernetes pod with kubectl run and a YAML manifest (apiVersion, kind, metadata, spec)
- Demo: working and deep dive with Kubernetes pods: describe, logs, exec, port-forward, multi-container pods and delete
Essential Level = Foundation + controllers, deployments, labels and servicesDay 2 · 2 days cumulative
- Declarative manifests in daily use: kubectl apply vs create, dry-run=client -o yaml, explain and diff
- Understanding Kubernetes replication controllers and their successor ReplicaSets: desired replicas and self-healing
- Demo: define your first replication controller and scale it with kubectl scale
- Demo: working with Kubernetes replication controllers: pod replacement, selectors and safe deletion
- Understanding Kubernetes Deployments: ReplicaSet management, rolling update strategy, maxSurge and maxUnavailable
- Demo: define your first Deployment and update its container image
- Demo: working and deep dive with Deployments: kubectl rollout status, history, undo, pause and resume
- Understanding Kubernetes labels and selectors: equality and set-based selectors, annotations versus labels
- Demo: define your first Kubernetes labels and work with them: kubectl label, -l filters and relabelling pods
- Understanding Kubernetes Services: ClusterIP, NodePort, LoadBalancer, ExternalName and endpoints
- Demo: define your first Kubernetes Service and reach a Deployment by its stable DNS name
- Demo: working and deep dive with Services: session affinity, targetPort, headless services and EndpointSlices
- Demo: deploy a Java stack application on Kubernetes with Deployments and Services
- Demo: deploy a Node.js stack application on Kubernetes with Deployments and Services
Intermediate Level = Essential + storage, configuration and stateful workloadsDay 3 · 3 days cumulative
- Understanding Kubernetes volumes: pod-scoped storage, volume mounts and lifecycle
- Understanding types of volumes: emptyDir, hostPath, nfs, configMap, secret, projected and CSI volumes
- Static and dynamic provisioning: pre-created PersistentVolumes versus StorageClass-driven provisioning
- Understanding PersistentVolume and PersistentVolumeClaim: access modes, capacity, reclaim policy and binding
- Understanding ConfigMap and Secret: env, envFrom and volume mounts, base64 encoding and encryption at rest
- Understanding StorageClass: provisioners, parameters, volumeBindingMode, allowVolumeExpansion and default class
- Demo: working with PersistentVolume and PersistentVolumeClaim for a database pod
- Demo: working with ConfigMap and Secret created from literals, files and YAML
- Demo: StorageClass with dynamic provisioning and volume expansion
- Understanding StatefulSet and DaemonSet: stable network identity, ordered rollout, per-pod volume claims, one pod per node
- Understanding CronJob and Job: completions, parallelism, backoffLimit, schedules and concurrencyPolicy
- Demo: working with a StatefulSet and a DaemonSet (log or monitoring agent on every node)
- Demo: working with Job and CronJob, inspecting history and failed runs
- Demo: stateless example: PHP guestbook with Redis leader and followers
Advanced Level = Intermediate + networking, security, operations and troubleshootingDays 4-5 · 5 days cumulative
- Kubernetes pod networking: what it is, how it works and the network model (IP per pod, no NAT between pods)
- How to implement Kubernetes networking: network plugins (CNI), Flannel, Project Calico and Weave Net (legacy) compared
- Demo: implementing Project Calico network plugins on a kubeadm cluster
- Understanding Ingress and Ingress controllers; demo: implementing NGINX Ingress with host and path rules and TLS
- Understanding Network Policies; demo: default-deny and allow rules between namespaces and pods
- Understanding DNS for Services and Pods: CoreDNS, service records, search domains and troubleshooting lookups
- Kubernetes authentication and authentication modules: X.509 client certificates, ServiceAccount tokens, OIDC
- Kubernetes authorization: demo RBAC with Roles, ClusterRoles and bindings, and demo ABAC policy files
- Pod observability: demo liveness, readiness and startup probes, plus static pods managed by the kubelet
- Scheduling: demo assigning pods to nodes using nodeSelector and node affinity, taints and tolerations
- Cluster operations: Kubernetes Dashboard add-on, kubeadm cluster upgrade, node maintenance with cordon and drain
- Demo: backing up and restoring a Kubernetes cluster with etcdctl snapshot save and restore
- Troubleshooting: application failure, control plane failure, worker node failure and networking
- Monitoring and logging: cluster components, running applications, component logs and application logs; final project
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Kubernetes levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Stand up a kubeadm cluster
Install a control plane and two workers with kubeadm, configure kubectl on a workstation and run a first nginx pod in its own namespace.
Deploy and expose a two-tier application
Deploy a Java or Node.js application as a Deployment, label it, expose it with ClusterIP and NodePort Services and perform a rolling update with rollback.
Run a stateful app with persistent storage
Deploy a database as a StatefulSet with dynamically provisioned volumes, feed it configuration from a ConfigMap and Secret, and schedule a nightly backup CronJob.
Harden and operate a production cluster
Install Calico and an Ingress controller, lock traffic down with Network Policies and RBAC, upgrade the cluster with kubeadm, back up etcd and fix injected failures as the final project.
Kubernetes is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Kubernetes with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Kubernetes certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Kubernetes level.
Certificate verificationCertificate of Completion
Kubernetes Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Kubernetes path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Kubernetes Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Kubernetes level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Kubernetes practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Kubernetes workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Kubernetes Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.