GCP200AWS

Google Cloud Infrastructure for AWS Professionals

This is a course for cloud architects and engineers with existing AWS knowledge that compares Google Cloud solutions with AWS and guides professionals on their use. In this course, you'll apply the concepts and technologies knowledge in AWS to explore the similarities and differences with concepts and technologies in Google Cloud. You'll get hands-on practice building and managing Google Cloud resources.

✓ Formation officielle Google CloudNiveau Intermediate⏱️ 2 jours (14h)

Ce que vous allez apprendre

Explain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud.
Implement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall.
Create and customize virtual machine (VM) instances using Compute Engine.
Configure load balancers and autoscaling for VM instances.
Implement data storage services in Google Cloud.
Design a solution using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud.
Examine best practices for the deploying and monitoring of Google Cloud infrastructure.
Identify the purpose and use cases for Cloud Run.

Prérequis

Familiarity with AWS terms and concepts

Public cible

Cloud architects or cloud engineers who are experienced with AWS cloud.

Programme de la Formation

8 modules pour maîtriser les fondamentaux

Objectifs

Review the AWS resource hierarchy.
Explore how IAM lets you apply policies that define who can do what on which resources in Google Cloud.
Examine service account types and keys in Google Cloud.
Navigate through Google Cloud console and Cloud Shell to perform basic tasks.

Sujets abordés

→Google Cloud Resource Hierarchy
→Identity and Access Management
→Service Accounts
→Interaction with Google Cloud

Activités

Lab: Exploring Identity and Access Management

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.