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Google Cloud Fundamentals for Azure Professionals

  • Tuition USD $575
  • Reviews star_rate star_rate star_rate star_rate star_half 482 Ratings
  • Course Code GCP-AZR-PROF
  • Duration 1 day
  • Available Formats Classroom

This 1-day instructor led course introduces Azure professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for Azure system administrators, Solution Architects and SysOps Administrators familiar with Azure features and setup; and want to gain experience configuring Google Cloud products immediately. With presentations, demos, and hands-on labs, participants get details of similarities, differences, and initial how-tos quickly.

Skills Gained

This course teaches participants the following skills:

  • 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

Who Can Benefit

This course is intended for the following participants:

  • 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.

Prerequisites

To get the most out of this course, participants should:

  • Have basic proficiency with networking technologies like subnets and routing
  • Have basic proficiency with command-line tools
  • Have experience with Microsoft Azure and IIS

Course Details

Course Outline

Module 1 Introducing Google Cloud

  • Explain the advantages of Google Cloud.
  • 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

  • Identify the purpose of projects on Google Cloud.
  • Understand how Azure's resource hierarchy differs from Google Cloud's
  • Understand the purpose of and use cases for Identity and Access Management.
  • Understand how Azure AD differs from Google Cloud IAM.
  • List the methods of interacting with Google Cloud.
  • Launch a solution using Cloud Marketplace.

Module 3 Virtual Machines in the Cloud

  • Identify the purpose and use cases for Google Compute Engine.
  • Understand the basics of networking in Google Cloud.
  • Understand how Azure VPC differs from Google VPC.
  • Understand the similarities and differences between Azure VM and Google Compute Engine.
  • Understand how typical approaches to load-balancing in Google Cloud differ from those in Azure.
  • Deploy applications using Google Compute Engine.

Module 4 Storage in the Cloud

  • Understand the purpose of and use cases for: Cloud Storage,
  • Cloud SQL, Cloud Bigtable and Cloud Datastore.
  • Understand how Azure Blob compares to Cloud Storage.
  • Compare Google Cloud’s managed database services with Azure SQL.
  • Learn how to choose among the various storage options on Google Cloud.
  • Load data from Cloud Storage into BigQuery.

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.
  • Understand how Azure Kubernetes Service differs from from Google Kubernetes Engine.
  • Provision a Kubernetes cluster using Kubernetes Engine.
  • Deploy and manage Docker containers using kubectl.

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 how App Engine differs from Azure App Service.
  • Understand the purpose of and use cases for Google Cloud Endpoints.

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 how Google Cloud Deployment Manager differs from Azure Resource Manager.
  • Understand the purpose of integrated monitoring, alerting, and debugging
  • Understand 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.

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.
  • Understand how Google Cloud BigQuery differs from Azure Data Lake.
  • Understand how Google Cloud Pub/Sub differs from Azure Event Hubs and Service Bus.
  • Understand 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.

Module 9 Summary and Review

  • Review the products that make up Google Cloud and remember how to choose among them
  • Understand next steps for training and certification
  • Understand, at a high level, the process of migrating from Azure to Google Cloud.

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Lunchtime?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

Very clean, great cafeteria and well sorted, very kind staff. The bathrooms have to be expanded as they might get crowded sometimes

The class is a good review of the services available in AWS.

In my mind. Myles Brown is an excellent instructor. His teaching approach agrees with me. No discernible stress about public speaking. Very engaging.

Enroll in the course offerings? Will enroll at the drop of a hat if approved. To ask mgmt to approve enrolment is another matter for me. Nothing to do with your company. Just a statement of fact.

Maybe a course on Google and MS Azure like this will be nice. If you have alternative options to mgmt, it is more likely that they shall have to choose one. Allow us to enroll.

Instructor was engaging, very knowledgeable, and explained things clearly. Labs were helpful in getting used to the tools that were being taught. Course location (Atlanta Microtek facility) was very comfortably set up. I'd definitely recommend this to anyone learning a new skill. (I took the 3-day AWS Big Data training).

ExitCertified provided the participants with all the required information we needed to join the training one week in advance and ensured that we had all the required materials to make the experience as seamless as possible.

Course trainer was excellent, content was well organized. However, labs should be instructor lead versus on your own. Much time is wasted for newbees in getting acclimated to tool set, AWS environment, navigating and setting up things to complete tasks. This was my third class and I was barely able to finish most of the labs. (The first 2 classes I only finished one lab exercise for the 2 together.)

0 options available

There are currently no scheduled dates for this course. If you are interested in this course, request a course date with the links above. We can also contact you when the course is scheduled in your area.

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