Google Cloud Platform Series: Applying Machine Learning/AI (Skill Booster)
Before each live online session, Tech Training will provide a Zoom link for live online classes, along with any required class materials.

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.
Learners should have a basic knowledge of Cloud Computing and Machine Learning.
Audience
This course is best suited for those who are interested in gaining understanding and getting started with Cloud Computing on Google Cloud Platform.
Learning Objectives
During this course, you will have the opportunity to:
- Discover the different ways you can leverage Machine Learning and Artificial Intelligence services offered on GCP
- Learn about different APIs provided for pre-built models
- Apply your learning with a guided demonstration and practice lab using the AI Platform on GCP
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.
Special Group Rates
For groups of 5 or more, special rates are available. Please contact techtraining@stanford.edu for more details.
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.
