Google Cloud Platform Fundamentals for AWS Professionals

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

After this course participants should be able to:

• Explain best practices for the Google Cloud solutions that incorporate resources and access management in Google Cloud.
• Implement Google Cloud networks by using best practices for Cloud virtual private network (VPN), Virtual Private Cloud (VPC), and Google Cloud Firewall.
• Create and customize virtual machine (VM) instances using Compute Engine.
• Configure load balancers and autoscaling for VM instances.
• Implement data storage services in Google Cloud.
• Design a solution using Google Kubernetes Engine (GKE) for deploying applications in Google Cloud.
• Examine best practices for the deploying and monitoring of Google Cloud infrastructure.
• Identify the purpose and use cases for Cloud Run.

Module 1: Resource and Access Management in Google Cloud

• Review the AWS resource hierarchy.
• Explore how IAM lets you apply policies that define who can do what on which resources in Google Cloud.
• Examine service account types and keys in Google Cloud.
• Navigate through Google Cloud console and Cloud Shell to perform basic tasks.

Module 2: Networking in Google Cloud

• Compare networking concepts in AWS and Google Cloud.
• Understand VPC networking on Google Cloud.
• Explain how Google Virtual Private Cloud (VPC) differs from AWS VPC.
• Create and configure Private Google Access and Cloud NAT.
• Determine which Google Cloud interconnect or peering service to use in specific circumstances.

Module 3: Virtual Machines in Google Cloud

• List the various CPU, GPU, and memory options for virtual machines.
• Explore Google Cloud images.
• Explain where you would want to use Spot VMs in Google Cloud.

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

• Explain Cloud Load Balancing features in Google Cloud.
• Describe Managed Instance Groups and how to use them.
• Explain how to use Managed Instance Groups with Load Balancers.

Module 5: Storage in Google Cloud

• Explore storage options and use cases.
• Explore the features of Cloud SQL and Cloud Spanner.
• Learn about using Cloud Bigtable.

Module 6: Containers in Google Cloud

• Explain how containers can be utilized in Google Cloud.
• Provision a Kubernetes cluster using GKE.
• Explain how Deployments are used in Kubernetes.
• Identify the purpose of hybrid and multi-cloud computing with GKE Enterprise.

Module 7: Applications in Google Cloud

• Describe how Cloud Run Functions can support application development.
• Deploy a containerized application on Cloud Run.

Module 8: Monitoring in Google Cloud

• Describe Google Cloud's operations suite.
• Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
• Describe system metrics collection in GKE.

Familiarity with AWS terms and concepts

None

No recommendation

• Official course book provided to participants