AI 65 - Applied Multi-Modal AI

    Recent Professors
    Vincent Roy Calip
    Recent Semesters
    Spring 2027
    Class Size
    Not published
    Difficulty
    6.0Demandingout of 10
    Credits
    3
    Spring 2027 Sections
    View Spring 2027 sections of AI 65
    Transfers To
    Not transferable
    Description
    This course introduces students to multi-modal artificial intelligence (AI), focusing on applied systems that integrate text, images, audio, and video for real-world tasks. Using no-code and low-code tools, students will design, test, and deploy multi-modal prototypes such as image captioning tools, cross-modal search, and voice-enabled assistants. Emphasis is placed on workforce applications, ethical design, and human-centered innovation. Designed for learners pursuing stackable AI certificates or foundational skills for careers in digital transformation, this course culminates in a portfolio-ready applied project.