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Google Cloud

Google Cloud Fundamentals for Azure Professionals: Core Infrastructure

Google Cloud and Google via Coursera


Google Cloud Fundamentals for Azure Professionals introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.


  • Course Introduction
    • This section welcomes learners to the Google Cloud Fundamentals for Azure Professionals course, and provides an overview of the course structure and goals.
  • Introducing Google Cloud
    • This section identifies some of the key benefits of using Google Cloud. It's here that we introduce the components of the Google network infrastructure, and explore the differences between infrastructure as a service (IaaS) and platform as a service (PaaS).
  • Resources and Access in the Cloud
    • This section explores how resources get organized with projects, and how access to those resources gets shared with the right part of a workforce through a tool called Identity and Access Management (IAM). It's also in this section that we identify different ways to interact with Google Cloud.
  • Virtual Machines and Networks in the Cloud
    • This section of the course explores how Google Compute Engine works, with a focus on virtual networking.
  • Storage in the Cloud
    • This section of the course showcases five core Google Cloud storage products: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
  • Containers in the Cloud
    • This section of the course explores containers and how they can be managed with Kubernetes and Google Kubernetes Engine.
  • Applications in the Cloud
    • The focus of this section of the course is developing applications in the cloud. It's here that we'll explore App Engine, two API management tools–Apigee Edge and Cloud Endpoints–and Cloud Run.
  • Developing and Deploying in the Cloud
    • This section explores Google Cloud methods for development in the cloud, which includes Cloud Source Repositories, Cloud Functions, and Terraform. This section also explores deployment with infrastructure as code.
  • Logging and Monitoring in the Cloud
    • This section highlights the importance of monitoring performance in relation to product reliability, then moves on to define service level indicators (SLIs), service level objectives (SLOs), and service level agreements (SLAs). It also examines the purpose of integrated monitoring, logging, alerting, and debugging.
  • Course Summary
    • In this final section, we review what's been presented in this course and discuss the next steps to continue your cloud learning journey.

Taught by

Google Cloud Training


5.0 rating, based on 1 Class Central review

4.6 rating at Coursera based on 238 ratings

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  • Profile image for Omar Salim
    Omar Salim
    It is a good and great experience to learn Google Cloud via the Coursera platform, which I see as the best platform available now in terms of content and ease of dealing with it.

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