In today's AI-driven world, understanding the foundations of artificial intelligence is not only essential - it is also a lot of fun! This course will demystify AI and provide practical hands-on experience that will allow participants to critically evaluate AI-generated outputs; and then be empowered to leverage AI to brainstorm, test, and enhance creative strategies with confidence. While exploring an array of selected AI tools, learners will apply structured, iterative prompt engineering techniques and experience collaborating with AI to co-create compelling visuals, audio experiences, custom media, and content that will supercharge almost any creative workflow. Whether it is developing a catchy jingle, enhancing branding with stunning imagery, or brainstorming innovative product concepts, this course empowers participants to harness AI to bring their ideas to life. By the end of this course, students will be able to approach AI applications confidently, effectively, and enthusiastically. Perfect for anyone looking to redefine possibilities and gain a competitive edge in the digital age.
Number of Units: 1.0 graduate level extension credit(s) in semester hours
Who Should Attend: Anyone interested in understanding the current and future direction of AI in business, healthcare, education, finance and daily life!
Technical Requirements
Prerequisites: Successful completion of AAI-X832 highly recommended.
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Our online self-paced courses are similar to online fixed-date courses, but are designed to give you a six-month period from time of enrollment to complete all assignments. Your instructor will provide feedback via written responses on your assignments and exams. Grades are based on completed projects, assignments and exams.
How is the self-paced course structured? Like fixed-date courses, online self-paced courses are asynchronous meaning that you can work on your assignments anytime; the difference being there are no assigned due dates in self-paced courses. The content is divided into learning modules. Each module will cover one or more topics. Within each of the learning modules, you can expect the following components:
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