Google CloudGCP100AWS

Google Cloud Fundamentals for AWS Professionals

The best course to get started on Google Cloud if you already know AWS

7h
Download program
Overview
Outcomes
Audience
Prerequisites
Prerequisites
Course outline

Course overview

This course 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.

Learning outcomes

  • Identify Google Cloud counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM
  • 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

Target audience

  • 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

  • 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 Outline

Module 1: Introducing Google Cloud

  • 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

Module 2: Getting Started with Google Cloud

  • 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

Module 3: Virtual Machines in the Cloud

  • 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

Module 4: Storage in the Cloud

  • 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

Module 5: Containers in the Cloud

  • 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

Module 6: Applications in the Cloud

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

Module 7: Developing, Deploying and Monitoring in the Cloud

  • 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

Module 8: Big Data and Machine Learning in the Cloud

  • 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

Module 9: Summary and Review

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

Our training sessions

Place of training :
Dates

Ce cours vous intéresse ?

Place of training :
Dates
1
Inter : 700 € HT / user

Funding assistance

Organiser une session de Groupe
Demandez un devis
Organize a dedicated session
for your organization
Request a quote
Does your company need a personalized
offer? Contact us