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ARIN100 Fundamentals of Artificial Intelligence (3 semester hours)
This introductory course is designed for first-year undergraduates with no prerequisites. Students will explore the fundamentals of artificial intelligence through its core concepts and applications of AI, with emphasis on quantitative reasoning and logical analysis. Interactive lectures, hands-on assignments, and collaborative discussions provide learners with both knowledge and practical skills. Key AI concepts include machine learning, neural networks, deep learning, and natural language processing, along with the role of AI in business, important ethical considerations, and its broader impact on society. Students gain applied experience using industry-standard tools and models and build a strong understanding of how AI systems work while preparing them for future study in this dynamic field.
View the course schedule AMU or APU to find out details about each course including prerequisites, course objectives, course materials, a snapshot of the syllabi, and session dates.
ARIN210 Machine Learning in Business (3 semester hours)
This course provides an introduction to machine learning concepts and techniques with a focus on their application in business environments. Students will learn how to apply machine learning algorithms to real-world business problems, analyze data effectively, and interpret model outcomes to support strategic decision-making.
View the course schedule AMU or APU to find out details about each course including prerequisites, course objectives, course materials, a snapshot of the syllabi, and session dates.