Title of the Course: Kubernetes

Brief Description: Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. This course covers Kubernetes architecture, pods, deployments, services, and managing clusters in production environments.

Skill Level: Novice->Intermediate->Proficient->Advanced->Expert

Duration: 6 Weeks

Format: Self-paced / Live Online / In-person / Hybrid

  • Hands-on labs / Projects
  • Certification Preparation
  • Resume/LinkedIn Support
  • Job Assistance
  • Access to LMS / Downloadable Material
  • Lifetime Course Access & Community Member

Step-by-Step Learning Path, from Beginner to Advanced, designed to give you both theory and hands-on skills to work confidently with container orchestration — ideal for DevOps Engineers, SREs, Cloud Architects, and developers.

Goals
  • Understand the basics of Kubernetes architecture and its core components
Topics
  • What is Kubernetes? Why do we need it?
  • Master vs Worker nodes
  • Core components: kube-apiserver, etcd, kubelet, kube-proxy, kube-scheduler, controller-manager
  • Pods, ReplicaSets, Deployments, Services
Hands-on
  • Set up Minikube or Kind (Kubernetes in Docker)
  • Verify cluster with
Lab
  • Deploy an Nginx pod using

Goals
  • Learn how to deploy and manage workloads in Kubernetes
Topics
  • Pods vs ReplicaSets vs Deployments
  • Rolling updates and rollbacks
  • Labels, selectors
  • Namespaces
Lab
  • Deploy a 3-replica app
  • Rollout a new version
  • Roll back the deployment

Goals
  • Understand internal/external communication between pods
Topics
  • ClusterIP, NodePort, LoadBalancer
  • DNS in Kubernetes
  • Ingress Controller and Ingress Resources
  • Service discovery
Lab
  • Install Nginx Ingress Controller
  • Create an Ingress for two apps

Goals
  • Inject configuration and manage state
Topics
  • ConfigMaps and Secrets
  • Volumes and Persistent Volume Claims
  • StorageClasses
Lab
  • Deploy an app that reads env variables from a ConfigMap
  • Mount a PVC to store logs

Goals
  • Use Helm to manage reusable application deployments
Topics
  • Helm v3 basics
  • Charts, templates, values.yaml
  • Repositories and chart lifecycle
  • CronJobs, DaemonSets, StatefulSets
Lab
  • Install MySQL and WordPress using Helm
  • Configure via values.yaml

Goal
  • Secure the cluster and monitor workloads
Topics
  • Service Accounts, Roles, and RoleBindings
  • Network Policies
  • Resource quotas and limits
  • Prometheus + Grafana for monitoring
  • Liveness & readiness probes
Hands-on
  • Create custom Role with limited access
  • Add probes in Deployment YAML
  • Install Prometheus and Grafana with Helm

Goal
  • Automate deployments using Jenkins/GitHub Actions + ArgoCD or Flux
Topics
  • CI pipeline to build and push Docker images
  • CD pipeline to update Kubernetes deployments
  • GitOps using ArgoCD
Lab

Setup Jenkins or GitHub Actions to:

  • Build Docker image
  • Push to Docker Hub
  • Update image in Kubernetes deployment automatically

Capstone Project: Microservices App on Kubernetes

Tasks

Deploy multiple microservices (user, auth, product)

Use Helm charts

Connect via Ingress

Store DB data using PVC

Secure with RBAC and TLS

Monitor with Prometheus + Grafana

Automate via CI/CD

Certifications (Optional but Recommended):

CKA (Certified Kubernetes Administrator)

CKAD (Certified Kubernetes Application Developer)

CKS (Certified Kubernetes Security Specialist)

What will the learner be able to do after this course?

After completing this course, the learner will be able to deploy, scale, and manage containerized applications using Kubernetes. For example, they will be able to create a Kubernetes deployment for a microservices-based application, expose it via a service, and configure auto-scaling and rolling updates in a real-world cluster.

  • Name: Manish
  • Instructor Bio: The instructor is a seasoned DevOps Engineer with over 15 years of hands-on experience in tools like Git & GitHub, Ansible, Jenkins, Docker, Kubernetes, Terraform, SonarQube, Prometheus, and Grafana. He holds certifications including AWS & Azure Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), and HashiCorp Terraform Associate. He has successfully led DevOps implementations and automation projects for Fortune 500 companies such as IBM, Capgemini, and Infosys, delivering scalable and secure infrastructure solutions across cloud and on-premise environments.

  • Certificate of completion
  • Industry-recognized badge (e.g., AWS, Microsoft, Oracle)

  • ₹ 9,999/-
  • EMI or group discounts (if applicable)

Anyone interested in building a career in database administration or management.

Knowledge of containers (like Docker) is required.

Classes are conducted live with access to recorded sessions.

Yes, hands-on labs and real-time project scenarios are provided.

Yes, placement guidance and resume support are offered.

Post-course support includes doubt-clearing sessions and job interview preparation.

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Streamline software delivery and boost efficiency with our comprehensive DevOps courses. From foundational tools like Git and Docker to advanced automation with Kubernetes, Terraform, and Prometheus we’ve got everything you need to become a job-ready DevOps engineer.
Testimonials

What Our Kubernetes Students Say

I had tried learning Kubernetes online before, but it always felt confusing. This training made it so simple and practical. The real-time examples and hands-on labs helped me gain confidence. Now I can confidently work on container orchestration projects!

Chetana A

- DevOps Engineer Intern

As someone who was completely new to Kubernetes, this course made everything crystal clear. From pods to deployments to clusters, everything was broken down step-by-step. The trainer also answered every question patiently. Highly recommended!

Dhamodhar

- BTech Final Year Student

My company started adopting Kubernetes, and I didn’t want to be left behind. This training helped me bridge the gap quickly. I now contribute confidently to production-grade Kubernetes deployments at work.

Abhinaya

- Software Developer
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