Google Cloud Fundamentals for AWS Professionals Training
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Google Cloud Fundamentals for AWS Professionals

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Transition seamlessly to Google Cloud with Google Cloud Fundamentals for AWS Professionals. Compare core services, concepts, and best practices between AWS and Google Cloud.

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Overview

The Google Cloud Fundamentals for AWS Professionals training is designed to help AWS users quickly get up to speed with Google Cloud. This course highlights key similarities and differences between AWS and Google Cloud services, focusing on compute, storage, networking, and management tools. Through hands-on labs and real-world examples, participants will learn to navigate Google Cloud Console, deploy applications, and manage resources effectively. Ideal for professionals familiar with AWS who want to expand their cloud expertise to Google Cloud.

Key Features

  • Compute and Storage
  • Expert-Led Training
  • Networking Essentials
  • Service Comparisons

Curriculum

Study Plan

1Module 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)
2Module 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. 
3Module 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.
4Module 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.
5Module 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. 
6Module 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. 
7Module 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. 
8Module 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. 

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