Welcome to the Getting Started with Google Kubernetes Engine course. This comprehensive course, offered by Google Cloud, is designed to equip you with the fundamental knowledge and practical skills to effectively utilize Google Kubernetes Engine (GKE). Throughout the course, you will delve into various aspects of GKE, including its components, architecture, and operations. The course starts by introducing you to Google Cloud and its compute platforms, providing insights into cloud computing, resource management, and billing. You will then explore containers and Kubernetes, gaining an understanding of container images, Kubernetes concepts, and Google Kubernetes Engine. The subsequent modules delve into Kubernetes architecture, covering concepts such as Kubernetes components, object management, and GKE Autopilot. Finally, the course focuses on Kubernetes operations, where you will learn about the kubectl command, introspection, and deploying GKE Autopilot Clusters from Cloud Shell.
With a blend of theoretical insights and hands-on labs, you will acquire the skills needed to create and manage GKE clusters using the Google Cloud console and gcloud/kubectl commands. By the end of the course, you will be well-versed in leveraging GKE as a managed service on Google Cloud, enabling you to containerize and run applications efficiently in a Kubernetes environment.
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The course comprises five modules that cover essential aspects of Google Kubernetes Engine, including Google Cloud introduction, containers and Kubernetes, Kubernetes architecture, and Kubernetes operations, with in-depth insights and practical labs.
Module 1: The course introduction provides a quick overview and getting started guide to set the stage for your learning journey.
Module 2: Introduction to Google Cloud covers cloud computing, Google Cloud compute offerings, the Google network, resource management, billing, and interacting with Google Cloud, along with practical lab sessions and a quiz to reinforce your understanding.
Module 3: Introduction to Containers and Kubernetes explores containerization, container images, Kubernetes, and Google Kubernetes Engine, along with hands-on lab sessions and a quiz to test your knowledge.
Module 4: Kubernetes Architecture delves into Kubernetes concepts, components, GKE Autopilot, object management, and includes a lab for deploying GKE Autopilot clusters, along with a quiz to assess your comprehension.
Module 5: Kubernetes Operations focuses on the kubectl command, introspection, and deploying GKE Autopilot Clusters from Cloud Shell, with a dedicated lab and quiz to solidify your practical skills.
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