BUS 257F - AI Applications for Business

    Recent Professors
    Gary Graves
    Recent Semesters
    Spring 2027, Fall 2026
    Class Size
    30–40 students
    Difficulty
    5.5Moderateout of 10
    Credits
    3
    Spring 2027 Sections
    View Spring 2027 sections of BUS 257F
    Transfers To
    Not transferable
    Description
    54 hours lecture per term. This course explores the practical applications of machine learning, deep learning, and natural language processing (NLP) in business environments. Students will learn how AI-driven technologies enhance decision-making, customer interactions, automation, and operational efficiency across industries. Key topics include predictive analytics, AI-powered chatbots, recommendation systems, sentiment analysis, and AI-driven automation. Ethical considerations and responsible AI implementation in business practices are emphasized. Upon completion, students will be able to apply AI-powered tools to improve business strategies and workflows while understanding the impact of AI on industry innovation. (Degree Credit) (CSU)