Duration

1 days.

Prerequisites

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

    Skills Gained

    This course teaches participants the following skills:

    • 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: Google App Engine, Google Kubernetes Engine, and Google Compute Engine
    • Choose among and use Google Cloud 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

    Who Can Benefit?

    This class is intended for the following:

    • 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.

    Outline for Google Cloud Fundamentals: Core Infrastructure Training

    Course Outline

    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

    The course includes presentations, demonstrations, and hands-on labs.