COURSE OVERVIEW

  • icon2 day course
  • iconPartner of the Year
  • iconPrivate
    info-icon
  • icon Certificate of Attendance

This course guides AWS professionals through the key services and features of Google Cloud and their role in cloud deployments.

Throughout the session, you’ll leverage your existing AWS expertise to explore the similarities and differences between the two platforms. Through hands-on practice, you’ll build and manage Google Cloud resources, gaining practical experience every step of the way.

By the end of the course, you’ll have the skills and knowledge to confidently manage Google Cloud infrastructure - just as you do with AWS.

Our Google Cloud Infrastructure for AWS Professionals course is offered as a private training session that can be delivered virtually or at a location of your choice in the UK.

What you’ll learn

By the end of this course, you will be able to:

  • iconExplain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud
  • iconCreate and customize virtual machine (VM) instances using Compute Engine
  • iconImplement data storage services in Google Cloud
  • iconExamine best practices for the deploying and monitoring of Google Cloud infrastructure
  • iconImplement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall
  • iconConfigure load balancers and autoscaling for VM instances
  • iconDesign a solution using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud
  • iconIdentify the purpose and use cases for Cloud Run

Course agenda

Module 1: Resource & Access Management in Google Cloud

  • Google Cloud resource hierarchy
  • Identity & access management
  • Service accounts
  • Interaction with Google Cloud

Module 2: Networking in Google Cloud

  • Networking concepts in AW and Google Cloud
  • Virtual private cloud networking
  • Cloud routing
  • Interaction with Google Cloud

Module 3: Virtual Machines in Google Cloud

  • Google Compute Engine
  • Machine types and images
  • Spot VMs

Module 4: Load Balancing & Managed Instance Groups on Google Cloud

  • Load balancing in AWS & Google Cloud
  • Cloud load balancing features in Google Cloud
  • Managed instance groups

Module 5: Storage in the Cloud

  • Overview of storage & database services
  • Cloud storage
  • Managed database services
  • Data lake options

Module 6: Containers in the Cloud

  • Containers in Google Cloud
  • Google Kubernetes Engine
  • Kubernetes concepts & architecture
  • Deployments & networking
  • Hybrid & multi-cloud computing with GKE enterprise

Module 7: Applications in Google Cloud

  • Developing applications in Google Cloud
  • Cloud run functions
  • Cloud run

Module 8: Monitoring in Google Cloud

  • Monitoring in the Cloud
  • Cloud operations
  • Monitoring GKE clusters
  • Monitoring tools in AWS & Google Cloud

Who it's for

This course is suitable for:

  • Cloud architects or cloud engineers who are experienced with AWS cloud.

Prerequisites

To get the most out of this course, you should have familiarity with AWS terms and concepts.

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Booking for a team or large group (5+ people)

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