Mastering infrastructure on Google Cloud requires familiarity with its core services and deployment workflows. This course teaches participants how to configure, automate, and monitor Compute Engine-based solutions. Through guided labs and demos, they will build secure networks, scale resources, and apply cost controls using Google Cloud best practices.
Learning Outcomes:
Deploy and manage virtual machines, storage, and networks on Compute Engine.
Implement IAM, cost tracking, and monitoring for cloud resources.
Automate deployments using tools like Deployment Manager and Terraform.
Evaluate and apply managed services in Google Cloud for scalability.
Key Topics:
Virtual machine setup, pricing models, and load balancing
IAM hierarchy, access control, and auditing
Data storage options: Cloud SQL, Spanner, Firestore
Billing management, quotas, and resource monitoring
Network interconnects, VPNs, and autoscaling policies
Module 1: Introduction to Google Cloud
- List the different ways of interacting with Google Cloud.
- Use the Cloud Console and Cloud Shell.
- Create Cloud Storage buckets.
- Use the Google Cloud Marketplace to deploy solutions.
Module 2: 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 3: 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 4: CloudIAM
- 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 5: Storage and Database Services
- Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.
- Choose a data storage service based on your requirements.
- Implement data storage services.
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.
