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UPI Study sends your official transcript directly to University of Management and Technology's registrar. UMT applies the equivalency: CST 460 – Fundamentals of Artificial Intelligence.
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Introduction to Artificial Intelligence is a course about how computer systems can perform tasks that normally require human judgment, such as searching for solutions, making decisions from data, recognizing patterns, and processing language. It covers the main ideas behind AI, including intelligent agents, machine learning, neural networks, logic, probability, and natural language processing, along with the history and limits of the field.
Introduction to Artificial Intelligence is a self-paced online course built on video lessons, quizzes, an assignment component, and a final exam, so you work through the material on your own schedule. Your grade is split into four equal parts: 25% Attendance, 25% Quizzes, 25% Assignments, and 25% Final Exam. Once the course is completed and the credit appears on your transcript, UMT's Office of Academic Affairs reviews it against UMT course outcomes, with faculty or subject-matter experts involved, and recognizes it as CST 460 – Fundamentals of Artificial Intelligence.
The course covers search, probability, machine learning, and decision models, which are the tools behind many automated systems that businesses now use to forecast demand, sort data, and flag risk. At UMT, the credit can be applied within programs such as the Associate of Business Administration and the Bachelor of Business Administration, so the material sits alongside core business coursework instead of in a separate track. Anyone who can read how an automated decision was reached is better equipped to question it, which matters in management roles that depend on tools they did not build.
After you finish the course, your transcript is sent to UMT, and the registrar applies the credit as CST 460 – Fundamentals of Artificial Intelligence, the named course equivalency in the catalog. Because the recognition is named rather than general, the credit can be placed directly into your degree plan, though you should confirm exactly how it fits your program requirements with an advisor. Transfer credit is evaluated by the Office of Academic Affairs with faculty review, and UMT accepts up to 90 credits (75%) toward a degree, so plan your remaining coursework with that ceiling in mind.
This course suits students who want a recognized AI credit without paying UMT's $390-per-credit rate for an equivalent course, including working adults who need flexible timing, degree-finishers close to the end of a program, and career changers checking whether AI work fits their interests. Because UMT recognizes the course by name as CST 460 – Fundamentals of Artificial Intelligence, the transfer is easier to plan than a general elective, though the credit still counts toward the 90-credit (75%) transfer ceiling. It is not a good choice for students who need the credit to appear under a different course code, or for students who have already reached the 90-credit limit and need more transfer credit to complete their degree.
UMT's Office of Academic Affairs evaluates transfer credit and prior learning against UMT course outcomes, with review by faculty or subject-matter experts. The figures below are from UMT's 2026-27 University Catalog.
Transfer credits are never guaranteed. Final credit awards are determined by UMT's Office of Academic Affairs.
Enroll for $250 (or use a UPI Study subscription), finish in 28–30 days, and transfer 3 credits to University of Management and Technology.