How Does Credit Transfer Work
Students at Utah System of Higher Education Office often use our Introduction to Artificial Intelligence course to complete general education or major requirements affordably while balancing others commitments.
Utah System of Higher Education Office
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Salt Lake City, UT
The Introduction to Artificial Intelligence course at Utah System of Higher Education Office is designed for students who want to gain practical skills while saving significantly on tuition. With NCCRS accreditation, this online course can transfer up to 3–4 credits directly to Utah System of Higher Education Office programs, helping students finish their degree faster and at a lower cost.
Utah System of Higher Education Office accepts courses recommended for college credit by ACE & NCCRS
Our courses are approved by the American Council on Education (ACE) — the same body that approves AP and IB — and are accepted for credit by thousands of universities, including Utah System of Higher Education Office.
Our courses are approved by the National College Credit Recommendation Service (Previously known as National Ponsi) — the NYSED.GOV body that approves AP and IB — and are accepted for credit by thousands of universities, including Utah System of Higher Education Office.
This course costs $250 through TransferCredit.org (UPI Study), compared to an estimated $900–$1,200 or more if taken directly at Utah System of Higher Education Office
FAQ
How many credits will I earn for Introduction to Artificial Intelligence at Utah System of Higher Education Office?
You will earn 3 transferable college credits, approved byACE & NCCRS, which can be applied toward your degree at Utah System of Higher Education Office or over 2,100 U.S. universities.
Is the course self-paced and online?
Yes, it’s 100% online and self-paced. You can start anytime and finish on your own schedule within hours or days and then transfer it back to Utah System of Higher Education Office for credit.
Will this course from UPI Study transfer to Utah System of Higher Education Office?
Yes, the Introduction to Artificial Intelligence course is ACE- and NCCRS‑approved and can be submitted to Utah System of Higher Education Office for credit toward general education or elective requirements.
How much does the course cost as compared to Utah System of Higher Education Office?
The course costs $250 total, which is 5X more affordable compared to the higher tuition fees charged on campus at Utah System of Higher Education Office or any community college near Salt Lake City, UT.
Course Details For Introduction to Artificial Intelligence
Learning Outcomes
Utah System of Higher Education Office in Salt Lake City, UT
In Introduction to Artificial Intelligence at Utah System of Higher Education Office in Salt Lake City, UT you can learn the same topics, transfer it and save tuition fees by a mile. This course, worth 3 transferable credits and approved by NCCRS, is designed to help students at Utah System of Higher Education Office gain practical skills and, preparing them for success in degree programs and real-world careers. Upon the successful completion of this course, students will be able to: interpret key Artificial Intelligence (AI) concepts and history, describe the distinctions between AI types and models, and classify various AI systems in real-world contexts; analyze algorithms and intelligent agents, compute and interpret logarithmic functions and probability theories in AI, and evaluate data accuracy and precision; compare and contrast machine learning and AI, apply theoretical knowledge to develop AI-driven solutions, and implement AI programming languages like LISP and Prolog; design intelligent agents, evaluate decision-making models, and synthesize knowledge of Bayesian networks, neural networks, and decision trees to create AI solutions; and analyze AI's ethical implications, manage AI projects using advanced functionalities, and predict future AI technology directions and their societal impacts.
Major Course Topics
Major topics include essentials of Artificial Intelligence; Intelligent Agents; AI in search techniques; constraint satisfaction in AI; logical agents and advanced reasoning; machine learning and AI Reasoning; and the future of Artificial Intelligence.
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