This course equips you with foundational knowledge and practical skills needed to begin implementing and managing generative AI responsibly in organizational settings. You will examine fine-tuning techniques, address AI system limitations and compliance requirements, and build ethical frameworks to balance innovation with responsibility. By the end, you will be prepared to guide AI implementation decisions that align with business goals, regulations, and ethical standards.
Number or Units: 1.0 graduate level extension credit(s) in semester hours
Who Should Attend: This course provides continuing education to educators, administrators, support staff and anyone interested in understanding the current and future direction of AI.
Course Format: Online Self-Paced
Technical Requirements
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Online fixed-date courses are delivered virtually but follow a predetermined schedule, requiring students to complete assignments, participate in discussions, and take assessments by specific deadlines – much like a traditional classroom. The key difference is that while traditional courses are conducted in person at set times and locations, online fixed-date courses allow students to engage remotely, offering more flexibility in where they learn while preserving structure and accountability through fixed timelines. These courses have fixed start and finish dates, but as an online student you will have 24/7 online access to your classroom assignments, syllabus and course resources. Instructor feedback is shared along with the graded assignments.
How is the learning structured? Each online fixed-date course is asynchronous, meaning that you can work on your assignments anytime, although you are required to complete the assignments by specific dates.The course is designed with learning modules where all of the content is grouped into weekly assignments. Each module covers one or more topics. Within each of the learning modules, you can expect the following components:
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