Google Cloud Platform Fundamentals: Core Infrastructure

Course Code: SE-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