Getting Started with Google Kubernetes Engine
This course covers an introduction to Kubernetes, a software layer that sits between your applications and your hardware infrastructure. Google Kubernetes Engine (GKE) brings you Kubernetes as a managed service on Google Cloud. This course teaches the basics of GKE and how to get applications containerized and running in Google Cloud. The course covers a basic introduction to Google Cloud, an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.

What you will learn
- Discuss the differences among Google Cloud compute platforms.
- Discuss the components and architecture of Kubernetes.
- Identify how Google manages Kubernetes orchestration.
- Create and manage Google Kubernetes Engine clusters by using the Google Cloud console and the gcloud/kubectl commands.
Prerequisites
- Having completed Google Cloud Fundamentals: Core Infrastructure, or having equivalent experience
- Basic proficiency with command-line tools and Linux operating system environments
Target audience
- Application developers, cloud solutions architects, DevOps engineers, IT managers, Individuals who use Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud.
Training Program
6 modules to master the fundamentals
Objectives
- Introduce the course goals and preview each section of the course.
Topics covered
- →The course introduction explains the course goals and previews each section.
Objectives
- Identify Google Cloud services and their functions.
- Choose the right Google Cloud services to create your own cloud solution.
- Define the purpose of and use cases for Identity and Access Management (IAM).
- Identify how costs can be managed in the resource hierarchy.
- Use the Google Cloud console and Cloud Shell to create virtual machines (VMs), service accounts, and buckets.
Topics covered
- →Cloud computing and Google Cloud
- →Google Cloud compute offerings
- →The Google network
- →Resource management
- →Billing
- →Interacting with Google Cloud
Activities
Lab: Accessing the Google Cloud console and Cloud Shell
Quiz: Module quiz
Objectives
- Define the concept of a container and identify uses for containers.
- Identify the purpose of and use cases for Kubernetes.
- Outline the concept of Google Kubernetes Engine.
- Create a container using Cloud Build.
Topics covered
- →Introduction to containers
- →Container images
- →Working with Cloud Build
- →Kubernetes
- →Google Kubernetes Engine
Activities
Lab: Working with Cloud Build
Quiz: Module quiz
Objectives
- Conceptualize the Kubernetes architecture.
- Identify how to view and manage Kubernetes objects.
- Distinguish between Google Kubernetes Engines modes of operation.
- Deploy a Kubernetes cluster by using GKE.
Topics covered
- →Kubernetes concepts
- →The Kubernetes control plane
- →Google Kubernetes Engine concepts
- →Kubernetes object management
Activities
Lab: Deploying GKE Autopilot clusters
Quiz: Module quiz
Objectives
- Work with the kubectl command.
- Inspect the cluster and Pods.
- View a Pod's console output.
- Sign in interactively to a Pod.
Topics covered
- →The kubectl command
- →Introspection
Activities
Lab: Deploying GKE Autopilot Clusters from Cloud Shell
Quiz: Module quiz
Objectives
- Recap the content covered in each section of the course.
Topics covered
- →The course summary recaps the major concepts learners were introduced to during the course.
Quality Process
SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach
- Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
- Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
- Guided Labs — Guided practical exercises on software, hardware, or technical environments.
- Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
The achievement of training objectives is evaluated at multiple levels to ensure quality:
- Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
- Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
- Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.
Upcoming sessions
Train multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote