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Google Cloud Fundamentals for AWS Professionals

If you're an AWS professional looking to explore the ease and power of Google Cloud solutions, then this one-day fundamentals course is ideal.
product
1 day course
Supporting material
Virtual, Private
Virtual Classroom
A convenient and interactive learning experience, that enables you to attend on of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Jellyfish has been selected by Google to facilitate the delivery of this one-day course, which introduces AWS professionals to the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database.

This course is designed for AWS Solution Architects and professionals who are familiar with AWS features and setup; and want to gain experience configuring Google Cloud products immediately.

Through a combination of presentations, demos, and hands-on labs, you'll get details of similarities, differences, and initial how-tos quickly.

This Google Cloud Fundamentals for AWS Professionals course is offered as a live Virtual Classroom or private training session and can be delivered at our own training facilities in San Francisco or Baltimore, or any location of your choice.

Course overview
Who should attend:
This course is intended for the following participants:
  • 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
Walk away with the ability to:
  • 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
  • Understand, at a high level, the process of migrating from AWS to Google Cloud
Prerequisites
To get the most of out of this course, you should have basic proficiency with networking technologies like subnets and routing and command-line tools. In addition you should have experience with Amazon VPC, Amazon EC2 instances, and disks. Familiarity with Amazon S3 and AWS database technologies is also recommended.
Course agenda
Module 1: Introducing Google Cloud Platform
  • 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 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 of 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: Google Cloud Storage, Google Cloud SQL, Google Cloud Bigtable, and Google 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 Kubernetes 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
Book this course
$699 ex TAX
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