Course Detail
Units:
3.0
Course Components:
Laboratory
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: 'C-' or better in (IS 3060 OR IS 3061 OR IS 4410 OR IS 4411) AND (Full Major or Minor status in Information Systems or Business Analytics)
Description
This course provides an in-depth introduction to AI and its transformative effects on business. We cover the basics of AI agents, frameworks, and machine learning concepts like neural networks, Natural Language Processing (NLP), and generative AI, focusing on their use in business. Students will learn to segment business processes into NLP tasks and select models for optimal performance.Through hands-on labs, students work with tools like Python, Colab, and HuggingFace to tackle tasks such as sentiment analysis, tagging, and process automation. Key topics include Semantic Search, insight extraction, and synthetic media. A final project involves designing an AI agent to enhance a business process, with discussions on AI ethics. No prior AI or coding experience is needed—just curiosity and a drive to learn!