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Cloud Computing and Virtualisation

Getting Started with Google Kubernetes Engine

  • Length 1 day
Course overview
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Why study this course

This course will teach you how to containerise workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic. You'll also learn how to continuously deploy new code in a Kubernetes cluster to provide application updates.

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What you’ll learn

This course teaches participants the following skills:

  • Understand how software containers work.

  • Understand the architecture of Kubernetes.

  • Understand the architecture of Google Cloud.

  • Understand how pod networking works in Kubernetes Engine.

  • Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/ kubectl commands.

Google Cloud at DDLS

DDLS is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, DDLS can support you through training wherever you are in your Cloud adoption journey.

Stay ahead of the technology curve

Don’t let your tech outpace the skills of your people

Quality instructors and content

Expert instructors with real world experience and the latest vendor- approved in-depth course content.

Partner-Preferred Supplier

Chosen and awarded by the world’s leading vendors as preferred training partner.

Ahead of the technology curve

No matter your chosen technologies or platforms, we can help you stay one step ahead.

Who is the course for?

This course is intended for the following participants:

  • Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers

  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud.

Course subjects

Module 1: Introduction to Google Cloud

  • Use the Google Cloud Console.

  • Use Cloud Shell.

  • Define Cloud Computing.

  • Identify Google Cloud compute services.

  • Understand regions and zones.

  • Understand the Cloud resource hierarchy.

  • Administer your Google Cloud resources.

Module 2: Containers and Kubernetes in Google Cloud

  • Create a container using Cloud Build.

  • Store a container in Container Registry.

  • Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE).

  • Understand how to choose among Google Cloud Compute platforms.

Module 3: Kubernetes Architecture

  • Understand the architecture of Kubernetes: pods, namespaces.

  • Understand the control-plane components of Kubernetes.

  • Create container images using Cloud Build.

  • Store container images in Container Registry.

  • Create a Kubernetes engine cluster.

Module 4: Introduction to Kubernetes Workloads

  • The kubectl command.

  • Introduction to deployments.

  • Pod networking.

  • Volumes overview.


To get the most out of this course, participants should have:

  • Basic proficiency with command-line tools and Linux operating system environments, as well as Web server technologies such as Nginx.

  • Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.

Request Course Information

By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.