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January 31, 2024
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Google Cloud for Azure Professionals. A four-course series for cloud architects and engineers with existing Azure knowledge to get started with Google Cloud.
Instructor: Google Cloud Training
Included with
(7 reviews)
Recommended experience
Intermediate level
-Experience working on Azure cloud services
-Familiarity with cloud concepts and technology
(7 reviews)
Recommended experience
Intermediate level
-Experience working on Azure cloud services
-Familiarity with cloud concepts and technology
Apply your existing cloud knowledge to get started with using Google Cloud.
Explain best practices for the Google Cloud solutions such as IAM, compute, storage, containers, etc.
Interact with various Google Cloud services
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This is a four-course series for cloud architects and engineers with existing Azure knowledge that compares Google Cloud solutions with Azure and guides professionals on their use.
The learner will apply the knowledge of concepts and technologies in Azure to explore the similarities and differences with concepts and technologies in Google Cloud. Learners will get hands-on practice building and managing Google Cloud resources.
Applied Learning Project
This specialization incorporates hands-on labs using our Qwiklabs platform.
These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.
Explain how Google Cloud’s resource hierarchy differs from Azure.
Explain best practices for Google Cloud’s IAM, resource hierarchy, including organizations, folders, and projects.
Explain the differences between Google Cloud’s IAM and Azure AD.
Navigate through the Google Cloud console and Cloud Shell to perform basic tasks.
Create and configure a Compute Engine instance in Google Cloud.
Explain the difference between Google Cloud images and Azure Custom Images.
Compare and contrast Cloud Load Balancing with Azure Load Balancers.
Describe managed instance groups (MIGs) and how to use them.
Create and configure Cloud SQL and Cloud Storage.
Compare Google Cloud's data lake and database options with Azure.
Explain how Google Kubernetes Engine (GKE) differs from Azure Kubernetes Service (AKS).
Provision a Kubernetes cluster by using GKE.
Describe use cases for Cloud Source Repositories and Cloud Functions.
Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
Compare Cloud Monitoring with Azure Monitor.
Describe how Cloud Run differs from Azure Container Apps.
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This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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