University of Arizona 3 credits Management Information Systems
The course is to teach fundamental concepts and practical skills and tools on generative AI. The covered topics include the design and construction of generative AI, prompt engineering, fine-tuning of large language models (LLM), retrieval-augmented generation with LLM, security and privacy of generative AI, and ethical, legal and social implications of generative AI. The course uses state-of-the-art generative AI and deep learning tools to provide hands-on experience. Students will learn how to apply generative AI techniques to sift through large amounts of data and provide actionable business insights.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.