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* Prospective NCAA Division I and II student-athletes should visit the NCAA Eligibility Center website (https://web3.ncaa.org/ecwr3/) and seek the NCAA's acceptance of a particular Education Provider's virtual course prior to registration.
Course Description From machine learning to robotics, you'll gain hands-on experience developing AI systems, delve into the complexities of natural language processing and computer vision, and consider the ethical and societal implications of this rapidly evolving technology. Get ready to be amazed and inspired by the limitless possibilities of AI as you immerse yourself in this cutting-edge field. Windows or Mac Operating System required. Scheduling Information COMPLETE COURSES -A complete version of the virtual course. - Full Credit Equivalent courses must be completed by your school's end date and within 9 months - 1/2 Credit Equivalent courses must be completed by your school's end date and within 4 months - 1/4 Credit Equivalent courses must be completed by your school's end date and within 2 months ABBREVIATED COURSES - A shortened course intended for students seeking to make-up failed courses or recover credits. - Abbreviated Full Credit Equivalent courses must be completed by your school's end date and within 60 days. - Abbreviated 1/2 and 1/4 Credit Equivalent courses must be completed by your school's end date and within 30 days. PARTIAL COURSES - A partial version of an online course intended for students temporarily away from classes (i.e. Home Bound Instruction, In/Out-of School Suspension). - Partial courses must be completed by your school's end date Format -Delivery : This is a virtual course delivered entirely by an established education organization, including a virtual instructor, to students and educators. Delivery Method Prerequisites Artificial Intelligence in the World or equivalent Course Materials Student-Supplied Resources You will need the following programs to complete this course: • Microsoft Word, or other word processing program • Microsoft Excel, Google Sheets, or other data visualization program • Microsoft PowerPoint, Canva, or Adobe Photoshop Free programs: • Teachable Machine with Google • Micro:bit Python editor • Micro:bit MakeCode editor Windows or Mac Operating System required. Course Availability
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Courses and course detail are subject to change without notice.
