CISB 63 - Generative Artificial Intelligence, Large Language Models, & Natural Language Processing in Business

    Recent Professors
    Angel Martinon Hernandez, Sohair Zaki
    Recent Semesters
    Fall 2026, Fall 2025
    Class Size
    36 students
    Credits
    Not published
    Prerequisite
    CISD 41
    Fall 2026 Sections
    View Fall 2026 sections of CISB 63
    Transfers To
    Not transferable
    Description
    This course is to unlock the power of generative AI (Artificial Intelligence) and transform your business strategy with our comprehensive course. Dive into essential principles and practical techniques for leveraging Large Language Models (LLMs) and Natural Language Processing (NLP) in a business context. This course provides a thorough exploration of: Text Processing Techniques (Master essential methods such as regular expressions, tokenization, text normalization, parts-of-speech tagging, and grammar parsing). Named Entity Recognition and Feature Engineering (Learn to extract key entities and engineer features using count vectors and TF-IDF (Term Frequency-Inverse Document Frequency). Text Analysis (Gain expertise in text cleaning, semantics, and sentiment analysis). Generative AI (Artificial Intelligence) Tools and Applications (Explore the latest advancements in generative AI, including creating AI-powered applications and chatbots using Python and relevant frameworks).