Course Outline
Module 1: Introduction to Google Cloud
- Enumerate the various methods for interacting with Google Cloud
- Utilize the Cloud Console and Cloud Shell
- Create Cloud Storage buckets
- Leverage the Google Cloud Marketplace to deploy solutions
Module 2: Virtual Networks
- Identify VPC objects within Google Cloud
- Distinguish between the various 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 configurations available for virtual machines
- Detail the disk options for virtual machines
- Explain VM pricing structures and available discounts
- Use Compute Engine to create and customize VM instances
Module 4: Cloud IAM
- Describe the Cloud IAM resource hierarchy
- Explain the different categories of IAM roles
- Identify 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
- Select a data storage service based on operational requirements
- Implement data storage services
Module 6: Resource Management
- Describe the cloud resource manager hierarchy
- Understand how quotas protect Google Cloud stakeholders
- Utilize labels to organize resources
- Explain the behavior of budget alerts in Google Cloud
- Analyze billing data using 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 resolve errors
Module 8: Interconnecting Networks
- Recall the Google Cloud interconnect and peering services available to connect infrastructure to Google Cloud
- Determine the appropriate Google Cloud interconnect or peering service for specific scenarios
- Create and configure VPN gateways
- Identify when to utilize Shared VPC versus VPC Network Peering
Module 9: Load Balancing and Autoscaling
- Recall the various load balancing services
- Determine the appropriate Google Cloud load balancer for specific scenarios
- Describe autoscaling behavior
- Configure load balancers and autoscaling
Module 10: Infrastructure Automation
- Automate the deployment of Google Cloud services using Deployment Manager or Terraform
- Outline the features of the Google Cloud Marketplace
Module 11: Managed Services
- Describe the managed services for data processing in Google Cloud
Requirements
Completion of Google Cloud Platform Fundamentals or equivalent professional experience. Basic proficiency with command-line tools and Linux operating system environments. Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment.
Testimonials (2)
The final day which is the Machine Learning Topic
John Erick Baltazar - Globe Telecom
Course - Google BigQuery
It was a really good training course, well prepared and explained by the trainer with great hands on experience on GCP.