AAI 301 - Predictive Modeling in AI

3 Credit Hours

This course brings the predictive power of AI to your toolbox. You’ll discover how to analyze, interpret, and forecast complex data using AI tools. Learn through hands-on activities and practice techniques like regression analysis and neural networks. You’ll also explore how to fill in missing data and estimate your confidence in your predictions. By the end of this course, you’ll have in-demand skills for your career and be ready to take on more advanced studies.
Corequisite: AAI 211 Career Navigation and Exploration in Applied AI (or A “C” or better)
Prerequisite: A “C” or better in CS 231 Computer Programming II

AND

A “C” or better in CSL 231 Computer Programming II Lab

AND

A “C” or better in AAI 201 Introduction to Generative AI

AND

A “C” or better in MAT 337 Probability and Statistics

Lecture Hours: 3