Getting Started with Google Kubernetes Engine Training

With over 85% of organizations now running containerized applications in production, Kubernetes is essential for scalable, modern infrastructure. Google Kubernetes Engine (GKE) brings you Kubernetes as a managed service on Google Cloud, simplifying the process of deploying, scaling, and managing containers.

The Getting Started with Google Kubernetes Engine course introduces you to the core concepts behind Kubernetes and Google Cloud. You’ll begin with a basic introduction to Google Cloud, then explore an overview of containers and Kubernetes, including architecture, orchestration, and operations. Through guided demos and hands-on practice, you’ll learn to create and manage Google Kubernetes Engine clusters, deploy workloads, and work directly in Cloud Shell and the Google Cloud Console.

This one-day training provides the essential skills to deploy, manage, and monitor containerized applications using Google Kubernetes Engine. You’ll explore Kubernetes architecture, learn GKE best practices, and gain practical experience using GKE tools.

• Discuss Google Cloud core services and compute platforms
• Understand Kubernetes architecture and orchestration in GKE
• Create and manage Google Kubernetes Engine clusters using Cloud Console, gcloud, and kubectl
• Deploy containerized workloads and manage Kubernetes objects
• Gain confidence using Kubernetes as a managed service on Google Cloud

• Application developers, Cloud Solutions Architects, DevOps engineers, and IT managers
• Individuals who use Google Cloud to create new solutions or integrate existing systems, application environments, and infrastructure
• Executives and business decision makers evaluating the potential of Google Cloud Kubernetes to address business needs

Learners should have a basic proficiency with command-line tools, Linux operating system environments, and web server technologies like Nginx. Experience with systems operations, including deploying and managing applications, either on-premises or in a public cloud environment is recommended.