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Google Cloud Platform Series: Using Virtual Machines (Skill Booster)

New session times will be displayed below upon confirmation.



Effective immediately in response to COVID-19, all Technology Training classes will be delivered online until further notice.

In advance of each session, Tech Training will provide you with a Zoom link to your class, along with any required class materials.

 


 
This 90-minute session is intended to help participants get started with using compute engines (virtual machines) on the Google Cloud Platform.
 
Prerequisite: 
Learners should have a basic knowledge of Cloud Computing.
 
Audience:
This course is best suited for those who are interested in understanding and getting started with Cloud Computing on Google Cloud Platform. 
 
Learning Objectives

During this course, you will have the opportunity to learn how to:

  • Understand the different compute services provided on GCP
  • Understand what is required to set up a Virtual Machine (Compute Engine) on GCP
  • Find out ways to create virtual machines on GCP
  • Apply your learning with a guided demonstration and practice lab where you will create a virtual machine on GCP
     

Explore All Google Cloud Platform Series Sessions >>

 



University IT Technology Training classes are only available to Stanford University staff, faculty, students and Stanford Hospitals & Clinics employees. A valid SUNet ID is needed in order to enroll in a class.

 

Custom training workshops are available for this program

Technology training sessions structured around individual or group learning objectives. Learn more about custom training


University IT Technology Training sessions are available to a wide range of participants, including Stanford University staff, faculty, students, and employees of Stanford Hospitals & Clinics, such as Stanford Health Care, Stanford Health Care Tri-Valley, Stanford Medicine Partners, and Stanford Medicine Children's Health.

Additionally, some of these programs are open to interested individuals not affiliated with Stanford, allowing for broader community engagement and learning opportunities.