Google Cloud Platform Fundamentals: Core Infrastructure

Course Code: NE-Fund
Duration: 1 Day
Price: Contact For Pricing

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Course Description

    • This one-day instructor-led class provides an overview of Google Cloud Platform products and services. Through a combination of presentations, demos, and hands-on labs, participants learn the value of Google Cloud Platform and how to incorporate cloud-based solutions into business strategies.

Objectives

    • 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

Audience

    • This class is intended for the following:
      • Individuals planning to deploy applications and create application environments on Google Cloud Platform.
      • Developers, systems operations professionals, and solution architects getting started with Google Cloud Platform.
      • Executives and business decision makers evaluating the potential of Google Cloud Platform to address their business needs.

Prerequisites

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

Content

    • The course includes presentations, demonstrations, and hands-on labs.
    • Module 1: Introducing Google Cloud Platform
    • Explain the advantages of Google Cloud Platform.
    • Define the components of Google's network infrastructure.
    • 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, and Google Cloud Bigtable.
    • 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 Container 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