GCP200K8S

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.

Google Cloud
✓ Formation officielle Google CloudNiveau Intermediate⏱️ 1 jour (7h)

Ce que vous allez apprendre

  • 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.

Prérequis

  • Having completed Google Cloud Fundamentals: Core Infrastructure, or having equivalent experience
  • Basic proficiency with command-line tools and Linux operating system environments

Public cible

  • 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.

Programme de la Formation

6 modules pour maîtriser les fondamentaux

Objectifs

  • Introduce the course goals and preview each section of the course.

Sujets abordés

  • →The course introduction explains the course goals and previews each section.

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

Teaching Methods Used
  • 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).
Evaluation and Monitoring System

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.

Prochaines sessions

10 décembre 2025
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9 février 2026
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20 avril 2026
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15 juin 2026
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17 août 2026
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19 octobre 2026
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15 décembre 2026
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700€ HT

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