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Cloud Computing & DevOps

Google Cloud Platform Fundamentals: Core Infrastructure

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  • Overview

    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.

  • Who Should Take This Course

    Audience

    • 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.

  • Why You Should Take This Course

    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
  • Schedule
  • 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
  • FAQs
    • Is there a discount available for current students?UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Online courses are excluded from this offer.
    • What is the cancellation and refund policy?Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.
    • What is Live Online training?Classes marked Live Online have the same content and expert instructors as our classroom training, but are delivered entirely online through our virtual classroom environment. Each class session is live, and led by an Instructor.

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