Skip to content Skip to site navigation Skip to service navigation

Machine Learning/AI Series: Review and Certification Exam

Class Code


Class Description

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 byte-sized session is intended as a review for the ML/AI Series, industry use cases, and the certification exam.


Part of the Machine Learning / Artificial Intelligence Class Series


  • Have a basic understanding of Python language, and be familiar with of how to use Jupyter Notebook
  • Successfully complete 4 out of the 6 Machine Learning / AI Series sessions


This session includes a recap of the ML / AI series, which include:

  • Getting Started with Data Exploration using Python
  • Getting Started with Data Visualization using Python
  • Understanding Machine Learning Classification Algorithms
  • Understanding Machine Learning Regression Model
  • Understanding Deployment of Machine Learning Models
  • Optimizing Machine Learning Models

A look into industry use cases of AI/ML will also be shared. 

A multiple-choice examination will be administered in this session. To obtain the Technology Training ML/AI Proficiency Certification, you need to score at least 70% on the exam.


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.