Which certifications does this prepare me for?

The program is aligned with both the CKA (Certified Kubernetes Administrator) and CKAD (Certified Kubernetes Application Developer) exams, and ends with a dedicated certification preparation bootcamp.

Will I get hands-on experience?

Yes. You work on real Kubernetes clusters, including ones you bootstrap yourself and managed GKE clusters, to practise deployments, scaling, security, and troubleshooting, just like in production.

Does this program include an end-to-end project?

This program focuses on deep Docker and Kubernetes skills and certification. For a full end-to-end deployment project that combines Docker, Kubernetes, and CI/CD with GitHub Actions, see our DevOps Engineer Program.

What if I miss a class?

Every session is recorded and shared daily, so you can catch up anytime and revise topics at your own pace.

DevOps & Containers · Containers & Orchestration

CKA + CKAD certification prep

Master containers and orchestration with Docker & Kubernetes

Start with Docker, then go deep into Kubernetes at CKA and CKAD level. You build clusters yourself, run workloads on them, and learn to troubleshoot like you would in production.

Get notified of the next batch Download syllabus (PDF)

Program fee: ₹15,000; Single payment
Latest batch: Jul 18, 2026
Timings: 7 to 10 AM IST; Weekend
Duration: 2 Months; Live classes

Program fee

₹15,000

Single payment

Latest batch: Jul 18, 2026
Timings: 7 to 10 AM IST; Weekend
Duration: 2 Months; Live classes

kubectl · your-cluster

$ kubectl get nodes
NAME            STATUS   ROLES
control-plane   Ready    control-plane
worker-1        Ready    <none>
worker-2        Ready    <none>

$ kubectl rollout status deploy/web
deployment "web" successfully rolled out

$ kubectl get hpa web
web   REPLICAS 2 → 5   CPU 72%/60%

Built, deployed, and scaled by you

Our alumni work at leading companies worldwide

many more companies across India, the US & beyond

How you practise

Hands-on on real clusters, not slides

Every concept is practised on clusters you set up yourself, on the cloud with kubeadm and on managed GKE, so you learn how Kubernetes behaves in production and how to fix it when it breaks.

Step 01
Bootstrap your own clusters
Prepare cloud infrastructure and bootstrap control-plane and worker nodes with kubeadm, then create highly available clusters on GKE.
Step 02
Deploy, scale, and release
Run workloads with deployments, services, and ingress; autoscale with HPA; ship with rolling, blue/green, and canary strategies.
Step 03
Break it and troubleshoot it
Debug broken clusters and broken applications using cluster and node logs, the way you would on call.
Step 04
Certification bootcamp
A dedicated CKA and CKAD preparation bootcamp to close gaps before the exams.

Take it further

Want the end-to-end DevOps project?

This program builds deep Docker and Kubernetes skills. Our DevOps Engineer Program puts them to work on a full end-to-end deployment project, together with CI/CD in GitHub Actions.

DevOps Engineer Program

End-to-end deployment project combining Docker, Kubernetes, and GitHub Actions.

Explore the DevOps program

GitHub Actions CI/CD

Automate builds and deployments to your clusters with GitHub Actions pipelines.

Explore GitHub Actions

Curriculum

What you'll learn

Docker first, then Kubernetes to CKA and CKAD level. The full syllabus, grouped into twelve areas.

01
Docker fundamentals and containers
Docker
Why containers, how Docker works, and running containers day to day.
- Monolith vs microservices
- Docker architecture
- Container lifecycle
- Port binding
- VM vs container
02
Docker networking and storage
Docker
Connect containers and keep their data persistent.
- Bridge & host networking
- User-defined bridges
- Volumes
- Bind & tmpfs mounts
03
Images, registries, and Dockerfiles
Docker
Build, tag, and ship images the way teams do.
- Image layers & tags
- Push / pull
- Private registry
- Multi-stage builds
- Dockerfile instructions
04
Kubernetes architecture and cluster setup
Kubernetes
Understand the control plane and bootstrap clusters yourself.
- API server, etcd, scheduler
- Kubelet & kube-proxy
- kubeadm bootstrap
- Managed clusters
05
Workloads and deployments
Kubernetes
Run applications and release them safely.
- Pods & namespaces
- Labels & selectors
- ReplicaSets & Deployments
- Rolling, blue/green, canary
- Jobs, CronJobs, DaemonSets
- Multi-container & init containers
06
Services, ingress, and networking
Kubernetes
Expose applications and understand how cluster networking works.
- ClusterIP, NodePort, LoadBalancer
- Headless services
- Ingress controllers
- CNI & DNS
- Admission controllers & CRDs
07
Scheduling and resource management
Kubernetes
Control where pods run and how much they can use.
- Node affinity & anti-affinity
- Taints & tolerations
- Static pods
- Requests & limits
- QoS & resource quotas
08
Observability and autoscaling
Kubernetes
Keep applications healthy and scale them with demand.
- Liveness & readiness probes
- HPA & metrics server
- Logging & monitoring
09
Storage and configuration
Kubernetes
Persist data and configure applications without rebuilding them.
- PV & PVC
- Storage classes
- Dynamic provisioning
- ConfigMaps & Secrets
- Environment variables
10
Security and access control
Kubernetes
Control who can do what, and what can talk to what.
- RBAC
- Service accounts
- TLS certificates
- kubeconfig & multiple clusters
- Network policies
11
Cluster operations and GKE
Kubernetes
Keep clusters available and up to date, self-managed and on GKE.
- High availability
- Node drain & OS upgrades
- Cluster upgrades
- etcd backup & restore
- GKE clusters & zero-downtime upgrades
12
Troubleshooting, Helm, and certification
Kubernetes
Fix what breaks, package apps with Helm, and prepare for CKA and CKAD.
- Broken clusters & apps
- Helm charts
- Lens IDE
- CKA / CKAD bootcamp

Full topic-by-topic syllabus (PDF)

Outcomes

Where it leads

Certification path

Certified Kubernetes Administrator (CKA)
Certified Kubernetes Application Developer (CKAD)

Roles this prepares you for

DevOps Engineer
Platform Engineer
Cloud Native Developer
Site Reliability Engineer
Container Platform Engineer
Kubernetes Administrator

Frequently asked questions

A basic understanding of how applications work is enough. Because Kubernetes runs containerized workloads, we start with Docker before moving to Kubernetes. No prior Kubernetes experience is required.

Still have questions? Ask us on WhatsApp

Talk to us about the next batch

Share your details and we'll get in touch with batch dates, timings, and fees.

Master containers and orchestration with Docker & Kubernetes

Our alumni work at leading companies worldwide

Hands-on on real clusters, not slides

Bootstrap your own clusters

Deploy, scale, and release

Break it and troubleshoot it

Certification bootcamp

Want the end-to-end DevOps project?

What you'll learn

Docker fundamentals and containers

Docker networking and storage

Images, registries, and Dockerfiles

Kubernetes architecture and cluster setup

Workloads and deployments

Services, ingress, and networking

Scheduling and resource management

Observability and autoscaling

Storage and configuration

Security and access control

Cluster operations and GKE

Troubleshooting, Helm, and certification

Where it leads

Certification path

Roles this prepares you for

Frequently asked questions

Talk to us about the next batch