How Does Credit Transfer Work
Students at University of Washington - Tacoma (Only for Profile Building) can earn transferable college credits through UPI Study’s Introduction to Artificial Intelligence course, an affordable option for completing general education or major requirements online.
University of Washington - Tacoma (Only for Profile Building)
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Tacoma, WA
Students at University of Washington - Tacoma (Only for Profile Building) can earn up to 3–4 transferable college credits with UPI Study’s Introduction to Artificial Intelligence online course. Accredited by NCCRS, the course helps you complete degree requirements faster while saving significantly on tuition.
University of Washington - Tacoma (Only for Profile Building) accepts courses recommended for college credit by ACE & NCCRS
Students at University of Washington - Tacoma (Only for Profile Building) can earn transferable college credit through UPI Study’s ACE-approved courses, evaluated by the American Council on Education, the same organization behind AP and IB credit recommendations.
UPI Study courses carry NCCRS credit recommendations through the National College Credit Recommendation Service, a NYSED-affiliated evaluation body. Students at University of Washington - Tacoma (Only for Profile Building) may transfer these courses for college credit toward their degree.
Students at University of Washington - Tacoma (Only for Profile Building) can save significantly on tuition by completing the Introduction to Artificial Intelligence course for $250 through TransferCredit.org (UPI Study), rather than paying $900–$1,200 or more for on-campus credits.
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FAQ
How many transferable college credits can I earn at University of Washington - Tacoma (Only for Profile Building)? You will earn 3 transferable college credits from this course. These credits are ACE- and NCCRS-approved and can be applied toward degree requirements at University of Washington - Tacoma (Only for Profile Building) or more than 2,100 universities across the United States.
Is the Introduction to Artificial Intelligence course transferable for college credit at University of Washington - Tacoma (Only for Profile Building)? Yes, this course is ACE- and NCCRS-approved and can be submitted to University of Washington - Tacoma (Only for Profile Building) for college credit toward general education or elective requirements.
Is this course 100% online and self-paced for students at University of Washington - Tacoma (Only for Profile Building)? Yes, the course is fully online and self-paced. You can start anytime, finish in hours or days, and then transfer the credits back to University of Washington - Tacoma (Only for Profile Building) toward your degree.
How much does this course cost compared to on-campus classes at University of Washington - Tacoma (Only for Profile Building)? The course costs $250 total, which is up to 5x more affordable than tuition for similar courses at University of Washington - Tacoma (Only for Profile Building) or community colleges near Tacoma, WA.
Course Details For Introduction to Artificial Intelligence
Learning Outcomes
University of Washington - Tacoma (Only for Profile Building) in Tacoma, WA
In Introduction to Artificial Intelligence at University of Washington - Tacoma (Only for Profile Building) in Tacoma, WA 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 University of Washington - Tacoma (Only for Profile Building) 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.
Jump into a new course, pick up where you left off, transfer credit to University of Washington - Tacoma (Only for Profile Building) and much more.
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Recognition of Prior Learning (RPL) and Its Application for University of Washington - Tacoma (Only for Profile Building) who want to take Introduction to Artificial Intelligence for college credit
Education
Understanding RPL or Credit for Prior Learning at University of Washington - Tacoma (Only for Profile Building)
Recognition of Prior Learning (RPL) is a valuable process used at institutions like University of Washington - Tacoma (Only for Profile Building) to evaluate and recognize the knowledge and skills students gain outside the traditional classroom environment. For students at University of Washington - Tacoma (Only for Profile Building) who want to take Introduction to Artificial Intelligence for credit, this process helps assess students who have gained prior experience or knowledge from work, volunteer activities, or even self-directed learning, ensuring they meet academic standards for the course. RPL can be crucial for students looking to gain credit or advanced standing without having to retake courses they've already mastered in real-world situations.
RPL vs. Credit Transfer: What’s the Difference?
It’s important to note that RPL is different from credit transfer. Credit transfer typically involves transferring academic credits earned at another institution, whereas RPL focuses on recognizing a person’s competence based on real-life experience. For transfer credit class for Introduction to Artificial Intelligence at University of Washington - Tacoma (Only for Profile Building), RPL might help a student prove they have the same level of understanding as someone who has formally studied the subject, even if their learning was gained outside the classroom. RPL is comprehensive, taking into account any life experiences that contribute to a student’s skills and knowledge in the subject matter.
Benefits of RPL/CPL for students at University of Washington - Tacoma (Only for Profile Building)who wish to take transfer credit for Introduction to Artificial Intelligence
For University of Washington - Tacoma (Only for Profile Building) students, the RPL or Credit for Prior Learning process provides an opportunity to showcase and gain recognition for their skills, even if they were not formally acquired through traditional educational pathways. This can be especially beneficial for students who have a strong grasp of Introduction to Artificial Intelligence concepts but have not formally studied the subject in an academic setting. Instead of retaking courses or exams, RPL offers an efficient and personalized way to demonstrate proficiency and earn credit toward their degree. For University of Washington - Tacoma (Only for Profile Building), the Recognition of Prior Learning (RPL) offers a flexible and inclusive way to evaluate students' skills and knowledge beyond traditional academic records. For students looking to do transfer credit for Introduction to Artificial Intelligence, this means the opportunity to fast-track their academic progress by leveraging prior experience. Whether through professional work or self-study, RPL ensures that University of Washington - Tacoma (Only for Profile Building) remains accessible to a diverse student body, promoting lifelong learning and the recognition of expertise gained outside conventional classroom settings.
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