The Artificial Intelligence & Machine Learning Option in Computer Programming degree prepares students to build, assess, and responsibly deploy Artificial Intelligence (AI) and Machine Language (ML) solutions with industry-ready skills. Learners develop proficiency in Python and core data libraries to clean, transform, and visualize data; apply supervised and unsupervised learning with standard toolchains; and evaluate models for fit, fairness, and impact. Coursework integrates GenAI practice with responsible-AI methods for bias detection, governance, and transparent documentation. Students prototype in modern cloud/Jupyter environments, translate domain problems into actionable analyses, and communicate results through concise reports, dashboards, and briefings.
For additional program information, contact faculty advisors, Dr. Bojan Zilovic, at (609) 343-4959 or bzilovic@atlanticcape.edu, or Michele Togashi, at (609) 343-5014 or mtogashi@atlanticcape.edu, or department chair, Dr. Otto Hernandez, at (609) 343-4978 or hernande@atlanticcape.edu.
- Use Python and core data libraries to acquire, clean, transform, and visualize data to support AI/ML workflows;
- Build, tune, and evaluate supervised and unsupervised machine-learning models using standard industry toolchains in cloud/Jupyter environments;
- Assess model quality and risk by applying evaluation methods that address fit, reliability, fairness, and real-world impact;
- Implement responsible AI practices by detecting bias, applying governance and documentation standards, and producing transparent, auditable model artifacts;
- Translate domain problems into actionable AI-driven analyses and communicate results through concise reports, dashboards, and stakeholder briefings.
(AIML-Fall 2026)
General Education Courses
When a course is not specified, refer to the list of approved General Education courses.