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Google Cloud Fundamentals for AWS Professionals

  • Tuition USD Free
  • Reviews star_rate star_rate star_rate star_rate star_half 482 Ratings
  • Course Code GCP-FUND-AWS
  • Duration 1 day
  • Available Formats Classroom, Virtual

This 1-day instructor led course introduces AWS professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for AWS system administrators, Solution Architects and SysOps Administrators familiar with AWS 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 AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS 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
  • Students are expected to have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is recommended.

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 Platform.
  • Understand how AWS’s resource hierarchy differs from Google Cloud’s.
  • Understand the purpose of and use cases for Identity and Access Management.
  • Understand how AWS IAM differs from Google Cloud IAM.
  • List the methods of interacting with Google Cloud Platform.
  • 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 Platform.
  • Understand how Amazon VPC differs from Google VPC.
  • Understand the similarities and differences between Amazon EC2 and Google Compute Engine.
  • Understand how typical approaches to load-balancing in Google
  • Cloud differ from those in AWS.
  • 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 Amazon S3 and Amazon Glacier compare to Cloud Storage.
  • Compare Google Cloud’s managed database services with Amazon RDS and Amazon Aurora.
  • Learn how to choose among the various storage options on Google Cloud Platform.
  • Load data from Cloud Storage into BigQuery.
  • Perform a query on the data in 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 Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE.
  • 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 Amazon Elastic Beanstalk.
  • 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 Cloud Deployment Manager differs from AWS CloudFormation.
  • Understand the purpose of integrated monitoring, alerting, and debugging.
  • Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail.
  • 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 AWS Data Lake.
  • Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus.
  • Understand how Google Cloud’s machine-learning APIs differ from AWS's.
  • Load data into BigQuery from Cloud Storage.
  • Perform queries using BigQuery to gain insight into data.

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 AWS 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.

This is my second class with this Tech Data ExitCertified Personnel. I learned so much in BigFix Foundations and BigFix Inventory. Very well organized training instructors and well organized course contents and labs. I am glad I have attended.

Labs were well organized, instructions were clear.

Instructor was knowledgeable and helpful.

The instructor was very good. He had a terrific temperament and never seemed to get tired. He was very patient with some of the participants and their lack of experience.

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).

TX3181/3191 Courses. Really good course, highly recommended for TWS/D users.

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