3 Days


Employees of federal, state and local governments; and businesses working with the government.
This course is perfect for experienced developers who are responsible for managing big data transformations including:

  • Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers.
  • Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform

Course Overview:

This three-day instructor-led class introduces you to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you will explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

What You’ll Learn:

  • Consider the entire range of Google Cloud Platform technologies in their plans
  • Learn methods to develop, implement, and deploy solutions
  • Distinguish between features of similar or related products and technologies
  • Recognize a wide variety of solution domains, use cases, and applications
  • Develop essential skills for managing and administering solutions
  • Develop knowledge of solution patterns

Course Outline:

1. Introduction to Google Cloud Platform

  • Role of the Cloud Architect
  • Learn about Solution Domains as an approach to design

2. Virtual Networks

  • Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
  • Subnetworks for resource management instead of physical network topology

3. Virtual Machines

  • GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs

4. Cloud IAM

  • Members, roles, organizations, account administration, and service accounts

5. Resource Management

  • Billing, Quotas, Labels, Names, and Cloud Resource Manager

6. Data Services

  • Cloud Storage, Datastore, Bigtable, and Cloud SQL

7. Interconnecting Networks

  • VPNs, Cloud Router, Cloud Interconnect, Direct Peering, and Cloud DNS

8. Infrastructure Automation

  • Infrastructure automation, custom images, startup and shutdown scripts and metadata, Deployment Manager, and Cloud Launcher

9. Autoscaling

  • Load Balancing, Instance Groups, and Autoscaler.

10. Resource Monitoring

  • Stackdriver, Monitoring, Logging, Error Reporting, Tracing, and Debugging

11. Containers

  • Containers, Google Container Engine (GKE), and Container Registry

12. Platform Security

  • Learn about Google’s layered security strategy that uses a multi-faceted approach to provide platform security services and benefits

13. Managed Services

  • Dataproc, Dataflow, BigQuery, and Datalab

14. Application Development Infrastructure

  • GAE, Cloud SDK, Dev Tools, Cloud Source Repos, Cloud Pub/Sub, Cloud Endpoints, and APIgee, Cloud Functions


  • Lab: Console and Cloudshell
  • Lab: Virtual Networking.
  • Lab: Cloud IAM.
  • Lab: Lab Billing.
  • Lab: Cloud Storage.
  • Lab: Cloud SQL.
  • Lab: VPN and Cloud Router.
  • Lab: Hadoop Cluster Maker.
  • Lab: Virtual Machine.
  • Lab: Autoscaling.
  • Lab: Resource Monitoring (Stackdriver).
  • Lab: BigQuery and Datalab.