IS4490

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IS4490 - AI for Bus Process (3 cr)

Operations and Information Systems BU - David Eccles Sch of Business

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!

Minimum Credits

3

Maximum Credits

3

Repeat for Credit

No

Required Requisite(s):

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 Artificial Intelligence or Business Analytics).

Semesters Typically Offered

Fall and Spring