Module 1: Introduction to Google Cloud

List the different ways of interacting with Google Cloud.
Use the Cloud Console and Cloud Shell.
Use the Google Cloud Marketplace to deploy solutions.

Module 2: Virtual Machines

Recall the CPU and memory options for virtual machines.
Describe the disk options for virtual machines.
Explain VM pricing and discounts.
Use Compute Engine to create and customize VM instances.

Module 3. Virtual Networks

List the VPC objects in Google Cloud.
Differentiate between the different types of VPC networks.
Implement VPC networks and firewall rules.
Implement Private Google Access and Cloud NAT.

Module 4: Storage and Database Services

Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.
Create Cloud Storage buckets.
Choose a data storage service based on your requirements.
Implement data storage services.

Module 5: Cloud IAM

Describe the Cloud IAM resource hierarchy.
Explain the different types of IAM roles.
Recall the different types of IAM members.
Implement access control for resources using Cloud IAM.

Module 6: Resource Management

Describe the cloud resource manager hierarchy.
Recognize how quotas protect Google Cloud customers.
Use labels to organize resources.
Explain the behavior of budget alerts in Google Cloud.
Examine billing data with BigQuery.

Module 7: Resource Monitoring

Describe the services for monitoring, logging, error reporting, tracing, and debugging.
Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
Use Cloud Debugger to identify and fix errors.

Module 8: Interconnecting Networks

Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
Determine which Google Cloud interconnect or peering service to use in specific circumstances.
Create and configure VPN gateways.
Recall when to use Shared VPC and when to use VPC Network Peering.

Module 9: Load Balancing and Autoscaling

Recall the various load balancing services.
Determine which Google Cloud load balancer to use in specific circumstances.
Describe autoscaling behavior.
Configure load balancers and autoscaling.

Module 10: Infrastructure Modernization

Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
Outline the Google Cloud Marketplace.

Module 11: Managed Services

Describe the managed services for data processing in Google Cloud.
Cloud Function
Cloud Run

Module 13: Kubernetes Architecture

Understand the architecture of Kubernetes: pods, namespaces.
Understand the control-plane components of Kubernetes.
Create container images using Cloud Build.
Store container images in Container Registry.
Create a Kubernetes engine cluster.

Module 14: Introduction to Kubernetes Workloads

The kubectl Command
Deployments
Ways to Create Deployments
Services and Scaling
Updating Deployments
Blue-Green Deployments
Canary Deployments
Managing Deployments
Lab: Creating Google Kubernetes Engine Deployments

Module 15. Pod Networking

Pod Networking
Volumes
Volume Types part 1
Volume Types part 2
The PersistentVolume abstraction
Lab: Configuring Persistent Storage for Google Kubernetes Engine

Module 16. Summary