How Does Credit Transfer Work
Students at American Intercontinental University often use our Introduction to Artificial Intelligence course to complete general education or major requirements affordably while balancing others commitments.

American Intercontinental University
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Schaumburg, IL
The Introduction to Artificial Intelligence course at American Intercontinental University 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 American Intercontinental University programs, helping students finish their degree faster and at a lower cost.
American Intercontinental University 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 American Intercontinental University.

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 American Intercontinental University.
This course costs $250 through TransferCredit.org (UPI Study), compared to an estimated $900–$1,200 or more if taken directly at American Intercontinental University
FAQ
How many credits will I earn for Introduction to Artificial Intelligence at American Intercontinental University?
You will earn 3 transferable college credits, approved byACE & NCCRS, which can be applied toward your degree at American Intercontinental University 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 American Intercontinental University for credit.
Will this course from UPI Study transfer to American Intercontinental University?
Yes, the Introduction to Artificial Intelligence course is ACE- and NCCRS‑approved and can be submitted to American Intercontinental University for credit toward general education or elective requirements.
How much does the course cost as compared to American Intercontinental University?
The course costs $250 total, which is 5X more affordable compared to the higher tuition fees charged on campus at American Intercontinental University or any community college near Schaumburg, IL.
Course Details For Introduction to Artificial Intelligence
Learning Outcomes
American Intercontinental University in Schaumburg, IL
In Introduction to Artificial Intelligence at American Intercontinental University in Schaumburg, IL 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 American Intercontinental University 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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