Applied Artificial Intelligence

The Applied Artificial Intelligence Associate of Science Degree introduces students to the concepts, tools, and techniques that drive modern AI applications. The program provides a strong foundation in computer science while emphasizing hands-on experience with machine learning, natural language processing, data analysis, and automation. Students will learn how AI is applied in fields such as business, healthcare, education, and cybersecurity, and gain practical skills that prepare them for entry-level careers in technology. Graduates of this program will be ready to contribute to projects involving AI development, deployment, and support, with the ability to adapt to emerging technologies in a rapidly evolving industry.

Program Goals

The Applied Artificial Intelligence (AI) Associate of Science Degree prepares students for immediate employment in entry-level AI/ML, data, and automation roles and for transfer into related bachelor’s programs. The degree builds a practical foundation in programming, data handling, cloud platforms, and applied machine learning aligned to employer use-cases in the Inland Empire.

Program Objectives

At the completion of this program, students will be able to:

Apply core AI/ML and data-science concepts to formulate and evaluate solutions to real-world problems.

Use Python, data pipelines, and cloud services to build, deploy, and monitor basic AI applications.

Interpret model behavior, assess risks/benefits, and communicate data-driven findings to technical and non-technical audiences.

Collaborate on AI projects that balance technical feasibility, organizational goals, ethics, and social impact.

Demonstrate readiness for entry-level roles (e.g., AI support technician, data technician, ML ops assistant) and lower-division transfer.

Program Purpose(s): Workforce preparation (CTE) and lower-division transfer preparation.

Prerequisite/Enrollment Notes

Some listed courses have prerequisites (see catalog). Students should consult counseling and the program map to plan prerequisite completion in the first year or via GE/electives.