Google Cloud
Fundamentals for AWS Professionals
IN-PERSON HANDS-ON LABS
Feb 23 , 2023

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Google Cloud Fundamentals for AWS Professionals

This course introduces AWS professionals to the core capabilities of Google Cloud in 4 technology pillars: Networking, Compute, Storage, and Database. It is intended for SysOps administrators, AWS system administrators, and solution architects who are already familiar with AWS setup and capabilities and want to start installing Google Cloud products immediately. This course will teach you the similarities and differences between the two platforms through lectures, demonstrations, and hands-on labs.
  • Prerequisites • 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.
  • Level – Beginner
  • Important note: The class will be delivered in Hebrew. Participants must bring laptops to participate.
IN-PERSON HANDS-ON LABS

COURSE SYLLABUS

COURSE AGENDA

Module 01 – Introducing Google Cloud

  • Explain the advantages of Google CloudDefine 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)
    Activities: 1 Quiz

Module 02 – Getting Started with Google Cloud

  • Identify the purpose of projects on Google Cloud
  • Understand how AWS 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
  • Launch a solution using Cloud Marketplace
  • Activities: 1 lab and 1 quiz

Module 03 – 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 AWS 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
  • Activities: 1 lab and 1 quiz

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
  • Learn how to choose among the various storage options on Google Cloud
  • Load data from Cloud Storage into BigQuery
  • Activities: 1 lab and 1 quiz

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) differs from GKE.
  • Provision a Kubernetes cluster using Kubernetes Engine
  • Deploy and manage Docker containers using kubectl
  • Activities: 1 lab and 1 quiz

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
  • How App Engine differs from Amazon Elastic Beanstalk
  • Understand the purpose of and use cases for Google Cloud Endpoints
  • Activities: 1 quiz

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 Cloud Monitoring
  • Activities 1 lab and 1 quiz

Module 08 – Big Data and Machine Learning in the Cloud

  • Understand how Google Cloud BigQuery differs from Amazon Redshift
  • Understand how Google Cloud Pub/Sub differs from Amazon SQS
  • 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
  • Activities 1 lab and 1 quiz

Module 09 – Summary and Review

  • Review the products that make up Google Cloud and remember how to choose among them
  • understand the next steps for training and certification
  • Understand, at a high level, the process of migrating from AWS to Google Cloud
  • Activities 1 quiz

AGENDA

9:00 – 9:30

Gathering & Breakfast

9:30 – 10:00

Introduction

10:00 – 12:45

GCP Fundamentals Labs - Part I
Introducing Google Cloud
Resources and Access in the Cloud
(Lab) Getting Started with Cloud Marketplace
Virtual Machines in the Cloud
(Lab) Getting Started with VPC Networking

12:45 – 13:30

Lunch

13:30- 17:00

Google Cloud Platform Labs - Part II
Containers (Lab: Kubernetes Engine)
Applications (Lab: App Engine)
Development, Deployment & Monitoring (Lab: Deployment Manager & Stackdriver)
Big Data & Machine Learning (Lab: BigQuery)

17:00- 17:30

Course Summary

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