← Back to the catalogueKubernetes
Intermediate to Advanced
Level
Classroom . Online . Hybrid
Mode
Course overview
A Kubernetes course covering cluster architecture, workload objects and day-two operations. Learners run a local cluster and a managed one, deploying stateless and stateful workloads, configuring networking and storage, then handling upgrades, scaling, RBAC and troubleshooting.
The final project deploys a microservice application with Helm, ingress, autoscaling and monitoring.
Who it is for
- DevOps and platform engineers
- Developers deploying to Kubernetes
- System administrators running clusters
- Engineers preparing for CKA or CKAD
Prerequisites
Docker fundamentals, Linux administration and basic YAML.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Microservice Platform on Kubernetes
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Explain control plane and node components.
02
Deploy and roll out workloads declaratively.
03
Expose applications with services and ingress.
04
Manage configuration and secrets safely.
05
Attach persistent storage to stateful workloads.
06
Scale workloads manually and automatically.
07
Diagnose failing pods, nodes and networking.
Module structure
8 moduleskubelet and kube-proxy . etcd . kubectl basics
Lab
Local and Managed Cluster
Pods . ReplicaSets . Deployments . Rolling updates and rollbacks . Jobs and CronJobs . DaemonSets
Environment injection . Probes . Secrets . Resource requests and limits . Init containers
Lab
Configured Application
Ingress controllers . Service mesh overview . DNS . Network policies
Volumes . Storage classes . Backup considerations . PersistentVolumes and claims . StatefulSets
Module 06
Scaling and Scheduling
Horizontal Pod Autoscaler . Affinity and taints . Vertical scaling . Node selectors . Priority
Lab
Load-Driven Autoscaling
Module 07
Packaging and Operations
Helm charts and values . Kustomize . Upgrades . Backups . Logging . Metrics server
Module 08
Security and Troubleshooting
RBAC . Service accounts . Pod security standards . Image policies . Events and logs . Debug containers
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
Kubernetes AdministratorDevOps EngineerPlatform EngineerSite Reliability EngineerCloud Infrastructure Engineer
