This term at HSLS, we are offering several learning opportunities about generative AI. These classes are designed to be taken either individually or as a set, in any order.
AI-Powered Research: Leveraging AI Tools for Searching, Summarizing, and Reviewing Scientific Literature
Wednesday, October 2, noon-2 p.m.
Taught by Ansuman Chattopadhyay
Evaluate effective strategies for utilizing AI tools to navigate basic science research literature in your field.
Evaluating Generative AI for your Research Workflow
Tuesday, October 8, noon-1 p.m.
Taught by Rose Turner, Rebekah Miller, Alyssa Young, and Rachel Suppok
Learn how to evaluate whether generative AI might be worthwhile to use in your research workflow, given the pros and cons of generative AI.
Data Transparency and Privacy in Generative AI Tools
Wednesday, October 9, 3-4:30 p.m.
Taught by Alyssa Young
Learn strategies for evaluating and mitigating some of the data transparency and privacy risks of using generative AI tools in your work.
Learning Python with AI
Tuesday, December 10, noon-1:30 p.m.
Taught by Alexis Cenname and Ansuman Chattopadhyay
Learn how to develop, optimize, and troubleshoot Python code using AI-driven tools, focusing on practical prompt engineering techniques to enhance efficiency and accessibility in coding and debugging.
HSLS classes are open to University of Pittsburgh faculty, staff, and students, as well as UPMC residents and fellows. If you are unable to attend a scheduled class, consider requesting a customized instruction session for your course, group, or department.