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Google Cloud Fundamentals for AWS Professionals

This instructor led live training teaches AWS professionals about the core capabilities of Google Cloud in the four technology pillars: networking, compute, storage, and database. It is designed for AWS system administrators, solutions architects, and SysOps administrators who are familiar with AWS features and setup and want to gain experience configuring Google Cloud products immediately. This course uses lectures, demos, and hands-on labs to show you the similarities and differences between the two platforms and teach you about some basic tasks on Google Cloud.

What you Will learn

What's Included?

Instructor Live Training

An instructor will answer your questions

OFFICIAL GOOGLE CLOUD CONTENT

Course content reflects the latest google cloud class

hands on labs

Real world hands on labs provided by Qwiklabs and supported by instructor

CertIficate of completion

Receive official certificate on completion of 80% of labs

Who's this course for?

Level

Language

Duration

Prerequisites

products

Course Content

Topics

  • What is cloud computing?
  • Google Cloud Computing architectures
  • The Google network
  • Google Cloud Regions and Zones
  • Google Cloud versus AWS regions and zones
  • Open API’s
  • Multi-layered security approach
  • Budgets and Billing

Objectives

  • 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)

Activities

  • 1 quiz

Topics

  • Google Cloud resource hierarchy
  • Comparison to AWS resource hierarchy
  • Identity and Access Management (IAM)
  • IAM Roles
  • Comparison to AWS IAM
  • Interacting with Google Cloud
  • Cloud Marketplace

Objectives

  • 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

Topics

  • Virtual Private Cloud (VPC) Network
  • How AWS VPC differs from Google VPC
  • Compute Engine
  • Comparing Amazon EC2 and Google Compute Engine
  • Important VPC Capabilities
  • How typical approaches to load-balancing in Google Cloud differ from those in AWS

Objectives

  • 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

Topics

  • Cloud Storage
  • Cloud Storage Interactions
  • Comparing Amazon S3 and Amazon Glacier with Google Cloud Storage
  • Cloud Bigtable
  • Cloud SQL and Cloud Spanner
  • Cloud Datastore
  • Comparing Amazon RDS with Google Cloud’s managed database services
  • Comparing Storage Options

Objectives

  • Understand the purpose of and use cases for: Cloud Storage, Cloud SQL,
    Cloud Bigtable and Cloud Datastore
  • Understand how Amazon S3 and Amazon Glacier compares 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

Topics

  • Containers in the Cloud
  • Kubernetes and Kubernetes Engine
  • Hybrid and Multi-Cloud
  • How Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes
    Service (EKS) differ from GKE

Objectives

  • 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

Activities

  • 1 lab and 1 quiz

Topics

  • App Engine Standard Environment
  • App Engine Flexible Environment
  • Comparison to AWS Elastic Beanstalk
  • Cloud Endpoints and Apigee Edge

Objectives

  • 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

Topics

  • Development in the cloud
  • Deployment: Infrastructure as code
  • How Cloud Deployment Manager differs from AWS CloudFormation
  • Monitoring: Proactive instrumentation
  • How Cloud Operations differs from Amazon CloudWatch and AWS CloudTrail

Objectives

  • 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

Topics

  • Google Cloud Big Data Platform
  • Dataflow
  • BigQuery
  • How BigQuery differs from Amazon Redshift
  • Pub/sub and Datalab
  • How Cloud Pub/Sub differs from Amazon SQS
  • Google Cloud Machine Learning Platform
  • ML APIs
  • How GCP’s machine-learning APIs differ from AWS’s

Objectives

  • 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 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

Topics

  • Course Review
  • The Process of migrating from AWS to Google Cloud
  • Next Steps

Objectives

  • 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

Activities

  • 1 quiz

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Upcoming Schedule

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