Google Cloud Fundamentals: Core Infrastructure

GCPInFund - Version:1
Description
This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies.
Intended audience
Individuals planning to deploy applications and create application environments on Google Cloud Developers, systems operations professionals, and solution architects getting started with Google Cloud Executives and business decision makers evaluating the potential of Google Cloud to address their business needs.
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  • Module 1: Introducing Google Cloud
    • Explain the advantages of Google Cloud.
    • Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones.
    • Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS).

  • Module 2: Getting Started with Google Cloud
    • Identify the purpose of projects on Google Cloud.
    • Understand the purpose of and use cases for Identity and Access Management.
    • List the methods of interacting with Google Cloud.

  • Module 3: Virtual Machines in the Cloud
    • Identify the purpose of and use cases for Google Compute Engine.
    • Understand the basics of networking in Google Cloud.

  • Module 4: Storage in the Cloud
    • Understand the purpose of and use cases for: Cloud Storage, Cloud Bigtable, Cloud SQL, Cloud Spanner, and Firestore.
    • Learn how to choose between the various storage options on Google Cloud.

  • Module 5: Containers in the Cloud
    • Define the concept of a container and identify uses for containers.
    • Identify the purpose of and use cases for Google Kubernetes Engine and Kubernetes.
    • Introduction to Hybrid and Multi-Cloud computing (Anthos).

  • Module 6: Applications in the Cloud
    • Understand the purpose of and use cases for App Engine.
    • Contrast the App Engine standard environment with the App Engine flexible environment.
    • Understand the purpose of and use cases for Cloud Endpoints.

  • Module 7: Containers in the Cloud
    • Understand how Cloud Source Repositories, Cloud Functions, and Deployment Manager support development in the cloud.
    • Understand the purpose of integrated monitoring, alerting, and debugging.

  • Module 8: Big Data and Machine Learning in the Cloud
    • Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms.
  • Familiarity with application development, systems operations, Linux operating systems, and data analytics/machine learning is helpful in understanding the technologies covered.
  • Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services
  • Describe ways in which customers have used Google Cloud
  • Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine
  • Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics
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03-6176677 info@sela.co.il

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