Getting Started with Google Kubernetes Engine

A concise, hands-on introduction to managing Kubernetes workloads on Google Cloud—perfect for building foundational GKE deployment skills quickly.

What will you learn in Getting Started with Google Kubernetes Engine Course

Compare Google Cloud compute options and learn how GKE fits into cloud infrastructure.
Understand container orchestration with Kubernetes architecture: pods, services, clusters, and masters.

Create and manage GKE clusters using the Console, gcloud CLI, and kubectl commands.
Deploy containerized applications, scale them, perform rolling updates, and apply CI/CD pipelines with Cloud Build.

Topics: Basics of cloud computing, Google Cloud compute offerings, key components of Kubernetes and GKE.
Hands-on: Orientation on Cloud Console and Cloud Shell, plus an introductory quiz.

Topics: Containerization with Docker, container images, Kubernetes architecture and orchestration concepts.
Hands-on: Guided labs to create Docker images, deploy containers on GKE, and understand Kubernetes structure.

Topics: Building clusters, node pools, resource provisioning, and deploying applications via CLI.
Hands-on: Deploy a website, scale workloads, and update apps with rolling releases.

Topics: Automating build and deployment pipelines using Cloud Build, Artifact Registry, and debugging GKE apps.
Hands-on: Build a CI/CD pipeline, deploy updated containers, and troubleshoot via logs and service mesh.

Prepares learners for roles like Cloud Engineer, DevOps Engineer, and Site Reliability Engineer working with Kubernetes.
Hands-on GKE training is in high demand as Kubernetes adoption continues to surge across industries.

9.7Expert Score

Highly Recommendedx

This course combines concise conceptual lessons with real-world labs, offering beginners direct experience with GKE deployment and management.

Value

Price

9.2

Skills

9.4

Information

9.5

PROS

Direct focus on GKE deployment and CLI interaction makes learning practical and job-ready.
Hands-on labs (e.g., pipeline and debugging tasks) reinforce learning with real cloud environments.
Compact and approachable—can be completed in under 5 hours.

CONS

Very AWS-to-GCP beginners might need more foundational GCP context.
No in-depth coverage of advanced Kubernetes concepts like networking, security policies, or multi-cluster setups.

Getting Started with Google Kubernetes Engine