Google Cloud Fundamentals: Core Infrastructure

Provides an overview of Google Cloud Fundamentals products and services.
Private session

This training is available in a private or personalized format. It can be provided in one of our training centres or at your offices. Call one of our consultants of submit a request online.

Call now at 1 877 624.2344

  • Duration: 1 day
  • Regular price: On request

Course outline

Duration : 1 day

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.

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.

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

Contents

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

Surround yourself with the best

Frédéric Paradis
Frédéric Paradis
Certified Trainer and Cloud Architect
As a certified Microsoft trainer, Frédéric describes himself as a Cloud magician who easily navigates the mythical space between technology and reality.
Marc Maisonneuve
Marc Maisonneuve
Training program director
Marc Maisonneuve has acted as a Training Program Director, professional effectiveness trainer and user tools practice leader at AFI for several years. Mr. Maisonneuve is known for his analytical skills, his legendary calm and his undeniable desire to encourage people to develop their skills. He has the ability to present technological solutions in a natural way and to adapt them to the concrete needs of the workplace.
Vicky Moreau
Vicky Moreau
Trainer
Vicky Moreau is a passionate freelancer and professional in the area of office automation. She holds a college diploma in office automation, most of her solid experience with the Office Suite was acquired while being an autodidact. In fact, she has successfully completed an MOS (Microsoft Office Specialist) Excel certification.
Francis Ferland-Stevenson
Francis Ferland-Stevenson
Trainer
Francis began as a trainer more than 5 years ago by testing office automation tools designed specifically to met the needs of his colleagues. His calm and his empathy makes him able to adapt his language according to the level of experience of the group. This makes his learnings clear and accessible to anyone. As a trainer, he is therefore attentive to the needs of his students to make sure they meet their objectives and face the challenges.