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Google Cloud Fundamentals for Azure Professionals Course Overview

Google Cloud Fundamentals for Azure Professionals Course Overview

The Google Cloud Fundamentals for Azure Professionals course is designed to help Azure professionals transition to and understand the Google Cloud Platform (GCP). It provides an overview of cloud computing, delving into the specifics of Google Cloud's architecture, network, regions, and zones, and how they compare with Azure's infrastructure. The course also introduces Google's open APIs, multi-layered security, and budgeting and billing practices.

Learners will gain hands-on experience with the Google Cloud resource hierarchy, Identity and Access Management (IAM), and the Cloud Marketplace, as well as insights into virtual machines, storage, containers, and applications within GCP. The course covers key components like Compute Engine, VPC Network, Cloud Storage, and Google Kubernetes Engine, comparing each with their Azure counterparts.

Furthermore, it touches upon development, deployment, monitoring, big data, and machine learning, illustrating how Google Cloud's services like BigQuery and Machine Learning APIs differ from Azure's offerings. By the end of the course, professionals will be equipped with the knowledge to migrate from Azure to Google Cloud and leverage its features effectively for their organizations.

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Target Audience for Google Cloud Fundamentals for Azure Professionals

The "Google Cloud Fundamentals for Azure Professionals" course is designed to help Azure experts transition to Google Cloud.


Target Audience for the Course:


  • IT professionals currently working with Microsoft Azure looking to expand their skill set to include Google Cloud Platform (GCP)
  • Cloud Architects seeking to design multi-cloud solutions incorporating GCP
  • System Administrators responsible for managing cloud infrastructures, particularly those currently using Azure
  • DevOps Engineers interested in deploying and managing applications on GCP
  • Data Engineers and Data Analysts who work with big data services on Azure and want to understand GCP's data offerings
  • Security Professionals who need to understand GCP's security model in comparison to Azure
  • Software Developers building applications on Azure and considering or planning to use GCP services
  • Technical Managers overseeing teams that work within cloud environments, especially in multi-cloud scenarios
  • IT Decision Makers evaluating the benefits of incorporating GCP into their existing Azure-based environments
  • Enterprise Architects planning cloud strategies and migrations from Azure to GCP
  • Network Engineers who manage cloud network resources and want to learn about GCP's networking capabilities


Learning Objectives - What you will Learn in this Google Cloud Fundamentals for Azure Professionals?

Introduction to Learning Outcomes

This course offers a comprehensive understanding of Google Cloud's core services, contrasting them with Azure to facilitate a smooth transition for Azure professionals into Google Cloud.

Learning Objectives and Outcomes

  • Comprehend the fundamentals of cloud computing and Google Cloud's infrastructure, comparing it to Azure's architecture and services.
  • Understand the Google Cloud network, including regions and zones, and how they relate to Azure's infrastructure.
  • Gain knowledge of Google Cloud's multi-layered security approach and how to manage budgets and billing.
  • Learn about the Google Cloud resource hierarchy and how it compares to Azure's, including IAM roles and access management.
  • Explore Google Cloud's core compute services, such as Compute Engine and VPC Network, and compare them with Azure VM and VNet.
  • Understand Google Cloud storage options, including Cloud Storage, Bigtable, and database services, and compare them with Azure's storage solutions.
  • Gain insights into containerization with Google Kubernetes Engine (GKE) and how it differs from Azure Kubernetes Service (AKS).
  • Discover how to develop, deploy, and monitor applications in Google Cloud, and compare the tools and services with those in Azure.
  • Learn about Google Cloud's Big Data and Machine Learning platforms, their key components, and how they compare to Azure's data and AI services.
  • Wrap up with a review of the course content and an overview of the process for migrating from Azure to Google Cloud, including next steps for further learning.

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