TransfermaticCS at Pasadena City College

    CS 178 - NATURAL LANGUAGE PROCESSING AND LARGE LANGUAGE MODELS

    Recent Professors
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    Recent Semesters
    No scheduled sections on record
    Class Size
    Not published
    Credits
    Not published
    Prerequisite
    CS 072
    Transfers To
    Not transferable
    Description
    Fundamental concepts and practical applications of Natural Language Processing (NLP) and Large Language Models (LLMs). Students will learn to process and analyze text data using tools such as Python, NLTK, spaCy, and Scikit-learn. Topics include text preprocessing, part-of-speech tagging, sentiment analysis, text classification, word embeddings, transformer architectures, prompt-based inference, and ethical challenges unique to LLMs. Emphasis on hands-on projects using real-world data to build job-ready skills in applied language technologies. Total of 54 hours lecture and 54 hours laboratory.