GCP100TERRAFORM

Getting Started with Terraform for Google Cloud

This course provides an introduction to using Terraform for Google Cloud. It enables learners to describe how Terraform can be used to implement infrastructure as a code and to apply some of its key features and functionalities to create and manage Google Cloud infrastructure. Learners will get hands-on practice building Google Cloud resources using Terraform.

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

Ce que vous allez apprendre

Define the business need for infrastructure as code and the benefits of using it in your environment.
Explain the features and functionalities of Terraform.
Use Terraform resources, variables, and output values to create Google Cloud infrastructure resources.
Use Terraform modules to build reusable configurations.
Explain Terraform state and its importance.

Prérequis

Complete Google Cloud Fundamentals: Core Infrastructure
Have basic programming skills and familiarity with using CLI
Have general familiarity with Google Cloud

Public cible

Cloud engineers, DevOps engineers, Individuals who want to start using Terraform to automate infrastructure provisioning with a focus on Google Cloud Platform

Programme de la Formation

5 modules pour maîtriser les fondamentaux

Objectifs

Define infrastructure as code.
Explain the features and benefits of using Terraform.
Explain the use case of Terraform for Google Cloud.
Describe how to use Terraform for Google Cloud.

Sujets abordés

→Introduction to IaC
→What is infrastructure as code (IaC)?
→Problems IaC can solve
→Benefits of IaC
→Provisioning versus configuration
→Imperative versus declarative approach
→Introduction to Terraform
→Terraform overview
→Terraform features
→IaC configuration workflow
→Terraform use cases
→Using Terraform
→How to use Terraform
→Running Terraform in production
→Installing Terraform
→Authentication for Google Cloud

Activités

1 quiz

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.