Practical GCP for DevOps: Google Cloud Platform Basics

Google Cloud 2022    |    Beginner
  • 18 Videos | 2h 9m 26s
  • Includes Assessment
  • Earns a Badge
You can't build a house without tools and materials. Similarly, you can't build a DevOps infrastructure without the tools and materials needed to support developer needs. In this course, learn about the basics of the Google Cloud Platform (GCP). Explore how GCP compares to other cloud platforms and learn about different elements of the platform, such as computing, storage, and networking. Next, investigate tools and services like identity management, databases, analytics, and artificial intelligence. Finally, examine the relationships between the GCP and container technologies such as Docker, clustering container technologies such as Kubernetes, and orchestration technologies such as Jenkins. Upon completion, you'll be able to identify how elements of Google Cloud Platform (GCP) support a DevOps framework.


  • discover the key concepts covered in this course
    recognize the basics of Google Cloud Platform (GCP)
    differentiate GCP from AWS and Azure
    compare and contrast GCP and Azure
    name the features and capabilities of Google Compute Engine (GCE)
    outline GCP Cloud Storage concepts
    identify the basics of GCP networking
    outline VPC and subnets in GCP
    outline Google Cloud Identity and Access Management (IAM)
  • name the databases available in GCP
    list the features, advantages, and limitations of Google Analytics
    identify Google Cloud data services
    outline GCP artificial intelligence (AI) and machine learning (ML) services
    identify the basics of GCP and containers and tools to use to run and manage containerized apps
    state how GCP and Ansible interact
    outline the features of Google Kubernetes Engine (GKE)
    recognize the basics of continuous integration and continuous delivery (CI/CD) and how Google Cloud Databricks and Jenkins work together
    summarize the key concepts covered in this course



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