Kubernetes Corporate Training
Deploy, manage, and scale containerized workloads on production Kubernetes clusters.
Edstellar's instructor-led Kubernetes corporate training helps your DevOps, platform, and SRE teams master container orchestration from first cluster to production. Your team builds hands-on skills in cluster setup, Deployments, Services and Ingress, persistent storage, RBAC security, Helm packaging, and the observability and troubleshooting practices that keep releases moving and platforms reliable.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a confident Kubernetes team
The Edstellar CONTAINER ORCHESTRATION Capability Model
Diagnose
Benchmark your team's container and Kubernetes maturity before the first cluster lab.
Standardize
Align on cluster vocabulary, manifest conventions, and declarative workload patterns.
Practice
Deploy, network, secure, and observe real workloads in guided hands-on Kubernetes labs.
Measure
Validate deployments, service networking, storage, and RBAC against clear operational checks.
Scale
Extend Kubernetes patterns, Helm charts, and runbooks across clusters and teams.
Need more than one program?Get a group quote
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Program Overview: What is Kubernetes?
Kubernetes is Edstellar's instructor-led technical program for DevOps, platform, and SRE teams running containerized workloads. Participants master cluster architecture and bootstrap, Pods and Deployments, configuration and secrets, networking and Ingress, persistent storage and stateful workloads, RBAC, Helm, and observability. The program fits teams that own Kubernetes in production.
Training is hands-on from the first module. Participants bootstrap clusters, deploy workloads, wire networking and ingress, configure storage for stateful apps, lock down RBAC, and package releases with Helm in guided labs on real clusters. Instructors coach your engineers through the failure modes that page you at night, reviewing every exercise with direct feedback. The program closes with a capstone where the team builds a production Kubernetes platform.
Clusters that grew organically become fragile: manual deploys, mystery networking, and incidents nobody can diagnose. This program teaches your engineers to run Kubernetes as a deliberate platform, with the architecture, security, and observability production demands. Teams leave deploying faster and sleeping better.
The capstone is a platform build: a bootstrapped cluster running real workloads with networking, storage, RBAC, Helm releases, and observability wired end to end. Your team returns with a platform pattern they can replicate across environments.
Six modules and 24 hours: cluster foundations, workloads and configuration, networking, storage and scheduling, security and Helm, and a capstone production platform build. Every module pairs concepts with a guided lab, so each technique is practiced on a live cluster. It closes with a capstone your team designs, deploys, and presents for instructor review.
Delivered hybrid across virtual and onsite sessions, scheduled around your calendar, with session materials and lab guides included for every attendee.
What's Included in this Workshop for Your Enterprise Teams
- 1
Cluster bootstrap
Stand up a cluster and drive it confidently with kubectl.
- 2
Workload deployment
Ship Deployments with config, secrets, and rolling updates.
- 3
Service networking
Expose services with Services, Ingress, and DNS.
- 4
Security and packaging
Lock down RBAC and package apps with Helm charts.
- 5
Capstone platform build
Deploy and present a production-ready Kubernetes app.
- Instructor-led delivery across virtual, onsite, and hybrid
- Guided labs on live Kubernetes clusters in every module
- Capstone production platform build with expert review
- Flexible scheduling around your release calendar
- Lab guides, manifests, and Helm chart templates included
- Group size and batches set along with you
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Kubernetes Course Topics and Program Outline
Six instructor-led modules take your team from Kubernetes architecture and cluster setup through Deployments, networking, storage, and security to Helm packaging and observability, ending with a capstone production platform build.
Built by Edstellar with Kubernetes and platform engineering expertise
Built by engineers who deploy, secure, and operate Kubernetes clusters in production, shaped around your stack and use cases.
We baseline your team's container and Kubernetes skills so the cluster labs start exactly where your engineers are.
Instructor-led sessions on Kubernetes architecture, kubectl, and declarative workload management for platform teams.
Guided hands-on labs: deploy workloads, wire up networking, and configure storage on a live cluster with instructor support.
Secure clusters with RBAC, package apps with Helm, then ship a capstone production platform build with expert review.
Every module pairs concept delivery with guided practice, so skills are proven on real cluster tasks, not just discussed.
Delivered as
Delivered live by an instructor in hybrid, onsite, or virtual formats, with all labs run in guided Kubernetes environments your team can reuse after the program.
Bootstrap a Kubernetes cluster and inspect nodes, pods, and namespaces with kubectl.
learna)Kubernetes architecture: control plane, nodes, kubelet
b)Bootstrapping a cluster with kind and kubeadm basics
c)kubectl essentials: contexts, namespaces, resource inspection
d)Pods as the unit of deployment and their lifecycle
Deploy a versioned app with probes and config, then roll it forward and back safely.
learna)Pod specs, labels, and resource requests and limits
b)Deployments, ReplicaSets, and rolling update strategy
c)ConfigMaps and Secrets for environment configuration
d)Health probes: liveness, readiness, and startup checks
e)Rollout history, pausing, and rollback workflows
Expose a multi-service app through Ingress with DNS and network policies.
practicea)Pod networking model and cluster DNS resolution
b)Services: ClusterIP, NodePort, and LoadBalancer patterns
c)Ingress controllers and HTTP routing rules
d)NetworkPolicies for pod-to-pod traffic control
e)Debugging DNS and connectivity failures
Run a stateful database with persistent storage and controlled scheduling.
practicea)PersistentVolumes, claims, and StorageClasses
b)StatefulSets for databases and ordered workloads
c)Node affinity, taints, and toleration scheduling
d)Jobs and CronJobs for batch and scheduled work
e)DaemonSets for node-level agents and logging
Secure a namespace with RBAC, package an app as a Helm chart, and build a dashboard.
applya)RBAC: roles, bindings, and service accounts
b)Helm charts: values, templates, and releases
c)Resource quotas and limit ranges for namespaces
d)Cluster metrics with Prometheus and Grafana
e)Centralized logging and event troubleshooting
Build and present a production-ready Kubernetes platform with docs and runbooks.
applya)Designing the capstone application topology
b)Helm-packaged deployment with config and secrets
c)Networking, storage, and security hardening
d)Observability stack and runbook documentation
e)Instructor review and production readiness checklist
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Your team leaves able to bootstrap, deploy, network, secure, and observe Kubernetes: clusters, Deployments, Services and Ingress, storage, RBAC, Helm, and production operations.
Cluster Operations
Bootstrap Kubernetes clusters and operate them confidently with kubectl every day.
Workload Deployment
Write manifests and Deployments that roll out updates safely and roll back fast.
Configuration Management
Externalize config and secrets with ConfigMaps, Secrets, and environment patterns.
Service Networking
Expose workloads with Services, Ingress routing, DNS, and network policies.
Persistent Storage
Attach persistent volumes and run StatefulSets for databases that keep their data.
RBAC Security
Enforce least-privilege access with roles, bindings, and service accounts.
Helm & Observability
Package apps as Helm charts and monitor clusters with metrics and dashboards.
Teams that Benefit from this Kubernetes Group Training
Built for DevOps, platform, and SRE teams running containerized workloads who own clusters, deployments, and reliability. Content adapts to each cohort's clusters and experience, so every team practices the Kubernetes workflows it owns in production.
Standardize Kubernetes across every cluster
Platform teams get repeatable cluster patterns and Helm conventions they can roll out to every namespace and team.
Workflow friction
- Inconsistent configs across clusters
- Manual manifest drift over time
- Slow onboarding of new services
How the program helps
- Repeatable cluster bootstrap playbooks
- Consistent manifest and chart standards
- Reusable RBAC and policy baselines
Practice use cases
- cluster bootstrap
- chart standards
- policy baselines
- runbook authoring
Ship releases with safer deployments
Release engineers practice rolling updates and Helm-driven delivery that make every deployment measurable and reversible.
Workflow friction
- Risky all-or-nothing deployments
- Config sprawl across environments
- Slow incident rollback
How the program helps
- Safe rolling update workflows
- Helm-packaged release pipelines
- Fast rollback on failed deploys
Practice use cases
- rolling updates
- helm releases
- config management
Keep clusters healthy and observable
SRE teams build the monitoring, quotas, and troubleshooting practices that keep cluster latency low and failures contained.
Workflow friction
- Opaque pod and node failures
- Resource contention under load
- Alert fatigue from noisy signals
How the program helps
- Cluster metrics and dashboards
- Resource quotas and limits
- Actionable runbooks for incidents
Practice use cases
- dashboards
- resource quotas
- incident runbooks
Enforce least privilege on the cluster
Security teams lock down the API with RBAC, network policies, and secrets handling that survives audits.
Workflow friction
- Overly broad cluster admin roles
- Unrestricted pod networking
- Secrets in plain manifests
How the program helps
- Least-privilege RBAC enforcement
- Pod network policy controls
- Auditable secrets handling
Practice use cases
- rbac rollout
- network policies
- secrets handling
Cohorts are grouped with peers at a similar Kubernetes maturity, so labs and examples match the environments your teams actually run.
Prerequisites: Designed for engineers comfortable with containers and YAML; prior Kubernetes experience is not required. Familiarity with Linux and CI/CD concepts helps, but the program starts with foundations and adapts labs to each cohort's cluster setup and tooling.
DevOps engineer to Kubernetes operator
Progresses from cluster architecture basics through workloads and networking to security and production operations, ending with a capstone platform build that proves readiness.
A program that grows with platform careers, from a first cluster bootstrap to confident production Kubernetes operations.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose how your team learns: join live virtual sessions, train onsite at your office, or blend both in a hybrid program scheduled around your calendar.
Hybrid Training
Blend live virtual sessions with onsite labs. Your team gets instructor guidance in the room and online, with all Kubernetes labs run on guided cluster environments.
- Mix of virtual and onsite sessions
- Guided labs in every format
- Same instructor across sessions
- Scheduled around your calendar
Onsite Training
An instructor joins your team at your office for immersive, hands-on days. Labs run on your clusters or ours, with whiteboard time for your real platform designs.
- Instructor at your location
- Hands-on labs with your team
- Whiteboard your cluster design
- Team-focused, distraction-free
Live Virtual Training
Join live instructor-led sessions from anywhere. Screen-shared demos, breakout lab rooms, and real-time help keep every engineer moving with the cluster labs.
- Live instructor, real-time help
- Guided labs in breakout rooms
- No travel, global cohorts
- Session recordings included
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size and timelines through the form below. A training advisor responds within one business day with a tailored quote and agenda options.
Yes. A short discovery call maps your clusters, release process, and skill levels so the program targets exactly what your team needs.
Yes. Live virtual sessions include guided labs, breakout rooms, and real-time instructor support, with recordings for every attendee.
Yes. An instructor can deliver the program at your office, with labs run on your clusters or ours, scheduled around your release calendar.
The program runs 24 hours across six modules, typically delivered over three to four days, with timing adjusted to your team's calendar.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Kubernetes follows containers because it schedules the images your team already builds. After running clusters, GitOps makes deployments reviewable and repeatable, and Kubernetes security hardens the cluster itself.
Why Choose Edstellar as Your Kubernetes Training Provider
Edstellar delivers instructor-led Kubernetes training that takes DevOps and platform teams from first cluster to production-grade operations, with guided labs, expert review, and runbooks your team keeps.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every Kubernetes cohort is shaped around your clusters and release process, so labs mirror the platform your team runs in production.
Proven Methodology
A learn, practice, apply arc takes engineers from cluster basics to a reviewed capstone build, with instructor feedback at every step.
Practice-Based Learning
Guided labs on live clusters cover Deployments, networking, storage, and RBAC, building muscle memory that survives production.
Expert Trainers
Sessions are led by engineers who operate Kubernetes clusters in production and teach the failure modes textbooks never cover.
Global Scale
Train one platform team or many: consistent Kubernetes curriculum delivered across regions, time zones, and hybrid formats.
Measurable Outcomes
Skill checks, lab reviews, and a capstone build give you clear evidence of what your team can now deploy, secure, and operate.
Build Kubernetes Platforms Through Workload, Networking, and Operational Practice
Edstellar develops Kubernetes capability by assembling a platform around realistic applications. Participants bootstrap a cluster, manage deployment changes, and connect networking and persistent storage before adding RBAC, Helm, and observability. The final platform demonstration includes documentation and runbooks, reviewed for workload behavior, access boundaries, recovery decisions, and useful operational evidence.
- Step 01
Consult
We confirm container and YAML comfort, review Linux familiarity, and explore deployment, networking, or storage challenges to identify the cohort's Kubernetes platform learning priorities.
- Step 02
Plan
We establish cluster architecture and bootstrap before workload configuration, then connect services, ingress, stateful storage, scheduling, and platform controls in the capstone build.
- Step 03
Align
We align Kubernetes engineering expertise with platform, DevOps, SRE, and security roles, confirming suitable clusters and sample workloads for controlled configuration and failure exercises.
- Step 04
Customize
We adapt sample multi-service and stateful applications to familiar operational patterns, including rollout, connectivity, and scheduling cases that require participants to justify configuration choices.
- Step 05
Execute
Participants deploy versioned workloads, test rollbacks, configure persistent storage, and package Helm charts, receiving feedback on probes, networking, RBAC, and dashboard usefulness.
- Step 06
Evaluate
We assess the platform and runbooks for working application paths, verified rollout behavior, appropriate storage and access controls, and evidence that supports operational diagnosis.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Kubernetes Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Kubernetes Training for Your Team
Tell us about your team size, timelines, and Kubernetes setup, and a training advisor will design the right Kubernetes program for your engineers.