Hybrid and Multi-cloud Cloud Architect

Course program

  • Course
  • Qwiklabs
  • Course on demand
Learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies with this on day course.
Learn how to deploy and manage containerized applications on Google Kubernetes Engine (GKE). Learn how to use other tools on Google Cloud that interact with GKE deployments. This course features a combination of lectures, demos, and hands-on labs to help you explore and deploy solution elements—including infrastructure components like pods, containers, deployments, and services—along with networks and application services. You'll also learn how to deploy practical solutions, including security and access management, resource management, and resource monitoring.

Create and Manage Cloud Resources

Learn about key Google Cloud tools and services. Learn how to run Cloud Shell commands, deploy your first virtual machine, and run applications on Google Kubernetes Engine or through load balancing. Upon completion of the quest, you will be able to earn a skill badge.


Deploy to Kubernetes in Google Cloud

In this hands-on lab, you’ll learn how to set up Docker images and containers, and deploy working Kubernetes Engine applications. Practice integrating container orchestration into your workflow and earn a skill badge at the end of the workshop.


Secure Workloads in Google Kubernetes Engine

Learn large-scale security best practices for deploying and managing production GKE environments. Upon completion of the quest, you will be able to earn a skill badge.


Optimize Costs for Google Kubernetes Engine

Learn how to optimize resource utilization and leverage autoscaling to optimize costs using Google Kubernetes Engine. Complete this quest to receive a Google Cloud skill badge.

This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises.

Ce parcours vous intéresse ?

Create a training course that reflects your image

Contact us