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Kubernetes in Practice

An immersive, lab-driven Kubernetes course that equips you with the skills to deploy, secure, and scale containerized applications in production environments.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you learn in Kubernetes in Practice Course

  • Deploy and manage containerized applications on Kubernetes clusters

  • Understand Kubernetes core primitives: Pods, Deployments, Services, ConfigMaps, and Secrets

  • Configure networking and load balancing with Ingress controllers and Services

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  • Implement stateful workloads using StatefulSets, PersistentVolumes, and PersistentVolumeClaims

  • Automate application rollouts, rollbacks, and scaling with Deployments and Horizontal Pod Autoscalers

  • Secure clusters with RBAC, NetworkPolicies, and PodSecurityPolicies

Program Overview

Module 1: Kubernetes Fundamentals & Cluster Setup

⏳ 1 week

  • Topics: Kubernetes architecture, control plane vs. worker nodes, kubectl basics

  • Hands-on: Provision a local cluster with Minikube/Kind and deploy a “Hello World” Pod

Module 2: Managing Pods & Deployments

⏳ 1 week

  • Topics: Pod lifecycle, ReplicaSets, Deployment strategies (Recreate vs. RollingUpdate)

  • Hands-on: Create Deployments, perform rolling updates, and roll back to previous versions

Module 3: Services & Networking

⏳ 1 week

  • Topics: ClusterIP, NodePort, LoadBalancer Services, Ingress resources

  • Hands-on: Expose applications via Services and configure an NGINX Ingress controller

Module 4: Configuration & Secrets Management

⏳ 1 week

  • Topics: ConfigMaps for config injection, Secrets for sensitive data, environment vs. volume mounts

  • Hands-on: Store database credentials in Secrets and inject them into application Pods

Module 5: Stateful Workloads & Storage

⏳ 1 week

  • Topics: PersistentVolumes, PersistentVolumeClaims, StorageClasses, StatefulSets

  • Hands-on: Deploy a stateful application (e.g., MySQL) using StatefulSets and dynamic provisioning

Module 6: Scaling & Auto-Scaling

⏳ 1 week

  • Topics: Manual vs. automatic scaling, Horizontal Pod Autoscaler (HPA), Cluster Autoscaler basics

  • Hands-on: Load-test a service and configure HPA to adjust replica count automatically

Module 7: Security & Access Control

⏳ 1 week

  • Topics: RBAC roles and bindings, ServiceAccounts, NetworkPolicies, PodSecurityPolicies

  • Hands-on: Lock down a namespace with restrictive RBAC rules and network segmentation

Module 8: Observability & Troubleshooting

⏳ 1 week

  • Topics: Logging with kubectl logs, metrics with Prometheus, dashboards with Grafana, kubectl debug

  • Hands-on: Set up a Prometheus/Grafana stack and troubleshoot a failing Pod with logging and metrics

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Job Outlook

  • Kubernetes expertise is in high demand for roles like DevOps Engineer, Site Reliability Engineer, and Platform Engineer

  • Widely adopted across cloud providers, microservices architectures, and enterprise CI/CD pipelines

  • Salaries range from $100,000 to $160,000+ depending on region and level of responsibility

  • Mastery of Kubernetes accelerates productivity, reliability, and scalability in production environments

9.6Expert Score
Highly Recommendedx
This course delivers a practical, end-to-end Kubernetes training, blending theory with labs that mirror production use cases.
Value
9
Price
9.2
Skills
9.4
Information
9.5
PROS
  • Realistic labs covering setup, networking, storage, and security
  • Strong emphasis on troubleshooting and observability with Prometheus/Grafana
  • Comprehensive coverage from basic Pods to advanced auto-scaling and RBAC
CONS
  • Focuses on core Kubernetes; ecosystem tools (Istio, Helm) are only briefly mentioned
  • Assumes familiarity with container concepts and Linux command-line basics

Specification: Kubernetes in Practice

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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