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Google Cloud Fundamentals: Core Infrastructure

WGAC-GGL-GCF-CI

Google
Open

Google Cloud Fundamentals: Core Infrastructure

25 Jul 2022 - 1 day

German

CET UTC+01:00

£555

Open

Google Cloud Fundamentals: Core Infrastructure

22 Aug 2022 - 1 day

English

GMT UTC+00:00

£625

Open

Google Cloud Fundamentals: Core Infrastructure

29 Aug 2022 - 1 day

German

CET UTC+01:00

£555

Open

Google Cloud Fundamentals: Core Infrastructure

29 Aug 2022 - 1 day

Italian

CET UTC+01:00

£555

Open

Google Cloud Fundamentals: Core Infrastructure

26 Sep 2022 - 1 day

German

CET UTC+01:00

£555

Open

Google Cloud Fundamentals: Core Infrastructure

10 Oct 2022 - 1 day

Italian

CET UTC+01:00

£555

Description

Show Tabs
Introduction
Module 1: Introducing Google Cloud Platform
  • Explain the advantages of Google Cloud Platform.
  • 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 Platform
  • Identify the purpose of projects on Google Cloud Platform.
  • Understand the purpose of and use cases for Identity and Access Management.
  • List the methods of interacting with Google Cloud Platform.
  • Lab: Getting Started with Google Cloud Platform.
Module 3: Virtual Machines and Networks in the Cloud
  • Identify the purpose of and use cases for Google Compute Engine.
  • Understand the various Google Cloud Platform networking and operational tools and services.
  • Lab: Compute Engine
Module 4: Storage in the Cloud
  • Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore.
  • Learn how to choose between the various storage options on Google Cloud Platform.
  • Lab: Cloud Storage and Cloud SQL
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.
  • Lab: Kubernetes Engine
Module 6: Applications in the Cloud
  • Understand the purpose of and use cases for Google App Engine.
  • Contrast the App Engine Standard environment with the App Engine Flexible environment.
  • Understand the purpose of and use cases for Google Cloud Endpoints.
  • Lab: App Engine
Module 7: Developing, Deploying, and Monitoring in the Cloud
  • Understand options for software developers to host their source code.
  • Understand the purpose of template-based creation and management of resources.
  • Understand the purpose of integrated monitoring, alerting, and debugging.
  • Lab: Deployment Manager and Stackdriver
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.
  • Lab: BigQuery
Prerequisites & Audience

Familiarity with the Linux command line, web servers, and text editors.

Course Benefits

This course teaches participants the following skills:

  • Identify the purpose and value of Google Cloud Platform products and services
  • Interact with Google Cloud Platform services
  • Describe ways in which customers have used Google Cloud Platform
  • Choose among and use application deployment environments on Google Cloud Platform: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
  • Choose among and use Google Cloud Platform storage options: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google Cloud Datastore
  • Make basic use of BigQuery, Google’s managed data warehouse for analytics
  • Make basic use of Cloud Deployment Manager, Google’s tool for creating and managing cloud resources through templates
  • Make basic use of Google Stackdriver, Google’s monitoring, logging, and diagnostics system
Course Topics
  • Module 1: Introducing Google Cloud Platform
  • Module 2: Getting Started with Google Cloud Platform
  • Module 3: Virtual Machines and Networks in the Cloud
  • Module 4: Storage in the Cloud
  • Module 5: Containers in the Cloud
  • Module 6: Applications in the Cloud
  • Module 7: Developing, Deploying, and Monitoring in the Cloud
  • Module 8: Big Data and Machine Learning in the Cloud

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