CIS 258F - Applied AI: Machine Learning, Deep Learning and NLP

    Recent Professors
    Tushar Puri
    Recent Semesters
    Fall 2026
    Class Size
    30 students
    Credits
    3
    Fall 2026 Sections
    View Fall 2026 sections of CIS 258F
    Transfers To
    Not transferable
    Description
    Advisory(ies): CIS 201 F and STAT C1000 F or STAT C1000E or STAT C1000H. 54 hours lecture per term. This course provides a technical introduction to artificial intelligence (AI) with a focus on machine learning, deep learning, and natural language processing (NLP) for business and industry applications. Students will learn to develop, train, and deploy AI models using Python-based frameworks such as TensorFlow, PyTorch, and Scikit-Learn. Topics include supervised and unsupervised learning, neural networks, AI-driven automation, and NLP applications such as chatbots and sentiment analysis. Ethical considerations in AI development and responsible AI deployment are emphasized. Upon completion, students will have hands-on experience in building AI models for real-world business and automation solutions. (Degree Credit) (CSU)
    Usually Held
    Mon Wed 10:10am–11:35am, Mon Wed 10:10am–12:20pm