Google Cloud Fundamentals for Azure Professionals


Course Number: GCP-106

Duration: 1 day (6.5 hours)

Format: Live, hands-on

Google Cloud Fundamentals Training Overview

This Google Cloud Fundamentals for Azure Professionals training course teaches Azure professionals how to leverage the power of Google Cloud products immediately. Attendees learn the similarities and differences, as well as best Google Cloud Platform (GCP) practices.

Location and Pricing

This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.

In addition, some Cloud courses are available as live, online classes for individuals.

Objectives

All student will learn how to:

  • Identify Google Cloud counterparts for Azure IaaS, Azure PaaS, Azure SQL, Azure Blob Storage, Azure Application Insights, and Azure Data Lake
  • Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
  • Manage and monitor applications
  • Explain feature and pricing model differences

Prerequisites

All attendees must have:

  • Basic proficiency with networking technologies like subnets and routing
  • Basic proficiency with command-line tools
  • Experience with Microsoft Azure and IIS

Outline

Expand All | Collapse All

Introducing Google Cloud
  • Advantages of Google Cloud
  • The components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones
  • The difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS)
Getting Started with Google Cloud
  • Identify the purpose of projects on Google Cloud
  • How Azure's resource hierarchy differs from Google Cloud's
  • Use cases for Identity and Access Management
  • How Azure AD differs from Google Cloud IAM
  • The methods of interacting with Google Cloud
  • Launch a solution using Cloud Marketplace
Virtual Machines in the Cloud
  • Use cases for Google Compute Engine
  • Networking in Google Cloud
  • How Azure VPC differs from Google VPC
  • The similarities and differences between Azure VM and Google Compute Engine
  • How typical approaches to load-balancing in Google Cloud differ from those in Azure
  • Deploy applications using Google Compute Engine
Storage in the Cloud
  • Use cases for Cloud Storage, Cloud SQL, Cloud Bigtable and Cloud Datastore
  • How Azure Blob compares to Cloud Storage
  • Compare Google Cloud’s managed database services with Azure SQL
  • How to choose among the various storage options on Google Cloud
  • Load data from Cloud Storage into BigQuery
Containers in the Cloud
  • Define the concept of a container and identify uses for containers
  • Use cases for Google Container Engine and Kubernetes
  • How Azure Kubernetes Service differs from Google Kubernetes Engine
  • Provision a Kubernetes cluster using Kubernetes Engine
  • Deploy and manage Docker containers using kubectl
Applications in the Cloud
  • Use cases for Google App Engine
  • Contrast the App Engine Standard environment with the App Engine Flexible environment
  • How App Engine differs from Azure App Service.
  • Use cases for Google Cloud Endpoints.
Developing, Deploying and Monitoring in the Cloud
  • Options for software developers to host their source code.
  • Template-based creation and management of resources
  • How Google Cloud Deployment Manager differs from Azure Resource Manager.
  • Integrated monitoring, alerting, and debugging
  • How Google Monitoring differs from Azure Application Insights and Azure Log Analytics.
  • Create a Deployment Manager deployment
  • Update a Deployment Manager deployment
  • View the load on a VM instance using Google Monitoring
Big Data and Machine Learning in the Cloud
  • Use cases for the products and services in the Google Cloud big data and machine learning platforms
  • How Google Cloud BigQuery differs from Azure Data Lake
  • How Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus.
  • How Google Cloud’s machine-learning APIs differ from Azure's.
  • Load data into BigQuery from Cloud Storage
  • Perform queries using BigQuery to gain insight into data
Conclusion
  • Review the products that make up Google Cloud and remember how to choose among them
  • Understand next steps for training and certification
  • The process of migrating from Azure to Google Cloud
Conclusion

Training Materials:

All GCP training students receive comprehensive courseware.

Software Requirements:

Students must have a modern web browser (ideally Chrome) and Internet access.



Learn faster

Our live, instructor-led lectures are far more effective than pre-recorded classes

Satisfaction guarantee

If your team is not 100% satisfied with your training, we do what's necessary to make it right

Learn online from anywhere

Whether you are at home or in the office, we make learning interactive and engaging

Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



Recent Training Locations

Alabama

Birmingham

Huntsville

Montgomery

Alaska

Anchorage

Arizona

Phoenix

Tucson

Arkansas

Fayetteville

Little Rock

California

Los Angeles

Oakland

Orange County

Sacramento

San Diego

San Francisco

San Jose

Colorado

Boulder

Colorado Springs

Denver

Connecticut

Hartford

DC

Washington

Florida

Fort Lauderdale

Jacksonville

Miami

Orlando

Tampa

Georgia

Atlanta

Augusta

Savannah

Hawaii

Honolulu

Idaho

Boise

Illinois

Chicago

Indiana

Indianapolis

Iowa

Cedar Rapids

Des Moines

Kansas

Wichita

Kentucky

Lexington

Louisville

Louisiana

New Orleans

Maine

Portland

Maryland

Annapolis

Baltimore

Frederick

Hagerstown

Massachusetts

Boston

Cambridge

Springfield

Michigan

Ann Arbor

Detroit

Grand Rapids

Minnesota

Minneapolis

Saint Paul

Mississippi

Jackson

Missouri

Kansas City

St. Louis

Nebraska

Lincoln

Omaha

Nevada

Las Vegas

Reno

New Jersey

Princeton

New Mexico

Albuquerque

New York

Albany

Buffalo

New York City

White Plains

North Carolina

Charlotte

Durham

Raleigh

Ohio

Akron

Canton

Cincinnati

Cleveland

Columbus

Dayton

Oklahoma

Oklahoma City

Tulsa

Oregon

Portland

Pennsylvania

Philadelphia

Pittsburgh

Rhode Island

Providence

South Carolina

Charleston

Columbia

Greenville

Tennessee

Knoxville

Memphis

Nashville

Texas

Austin

Dallas

El Paso

Houston

San Antonio

Utah

Salt Lake City

Virginia

Alexandria

Arlington

Norfolk

Richmond

Washington

Seattle

Tacoma

West Virginia

Charleston

Wisconsin

Madison

Milwaukee

Alberta

Calgary

Edmonton

British Columbia

Vancouver

Manitoba

Winnipeg

Nova Scotia

Halifax

Ontario

Ottawa

Toronto

Quebec

Montreal

Puerto Rico

San Juan