Getting Started with Google Kubernetes Engine

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
• 1 lab and 1 quiz

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
• 1 lab and 1 quiz

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
• 1 lab and 1 quiz

Module 4 - Introduction to Kubernetes Workloads

• The kubectl Command
• Introduction to Deployments
• Pod Networking
• Volumes Overview

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

• Basic proficiency with command-line tools and Linux operating system environments, as well as Web server
• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.

At the end of the course, you will be able to:

• Understand how software containers work.
• Understand the architecture of Kubernetes.
• Understand the architecture of Google Cloud.
• Understand how pod networking works in Google Kubernetes Engine.
• Create and manage Kubernetes Engine clusters using the Google Cloud Console and gcloud/kubectl commands.

The description for this course is currently being updated.

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

• Basic proficiency with command-line tools and Linux operating system environments, as well as Web server
• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment.