Tuesday, April 1, 2025, noon-1:30 p.m.
Online or In Person in the Falk Library Classroom
Taught by Alexis Cenname and Ansuman Chattopadhyay
Register for Learning Python with AI

This class equips students with the skills to develop, optimize, and troubleshoot Python code using AI-driven platforms. Participants will learn how to apply fundamental prompt engineering techniques to efficiently generate Python code. The course emphasizes practical applications, helping learners gain proficiency in AI-assisted coding and debugging, making Python development more accessible and efficient.

Upon completing this class, you should be able to:
  • Develop and optimize Python code for various applications using AI-driven platforms.
  • Evaluate and troubleshoot Python code using AI tools to identify and resolve issues.
  • Apply fundamental prompt engineering techniques to generate Python code efficiently.
  • Produce data visualizations and summaries by leveraging AI tools on example datasets.
Level: Novice
Prerequisites: Installation of Anaconda/JupyterLab and basic knowledge of Python or review the Python Bootcamp Days 1-3.
Recording status: This class will be recorded and shared with attendees.
Class Materials: Class materials will be shared with attendees.