Master Google Cloud's Compute Engine to become a Cloud Solutions Architect or DevOps Engineer, leveraging infrastructure elements, VPC networks, and managed services in diverse environments.
EnrollDesign and deploy scalable infrastructures using Google Compute Engine.
Implement effective security and access management strategies.
Automate cloud-based services deployment and management.
Optimize resource monitoring and billing management.
This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You'll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
List the different ways of interacting with Google Cloud
Interact with the Google Cloud console and Cloud Shell
Create Cloud Storage buckets
Deploy solutions using Google Cloud Marketplace
List the VPC objects in Google Cloud
Explore VPC Networking
Implement Private Google Access and Cloud NAT
Recall the CPU and memory options for virtual machines
Describe the disk options for virtual machines
Explain VM pricing and discounts
Create and customize VM instances using Compute Engine
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.
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.
Describe the cloud resource manager hierarchy
Recognize how quotas protect Google Cloud customers
Organize resources using labels
Explain the behavior of budget alerts in Google Cloud
Examine billing data with BigQuery
Describe the services for monitoring, logging, error reporting, tracing, and debugging
Create charts, alerts, and uptime checks for resources with Cloud Monitoring
Identify and fix errors using Cloud Debugger
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.
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
Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
Outline the Google Cloud Marketplace.
Describe the managed services for data processing in Google Cloud.
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier