Temple University 3 credits MIS
This course explores cutting-edge AI technologies and their business applications, with a focus on generative AI systems, large language models, and AI-powered productivity tools. Students will gain hands-on experience with enterprise AI platforms, learn effective prompting strategies, and understand how to integrate AI assistants and co-pilot technologies into business workflows. The course emphasizes practical implementation of emerging AI tools while maintaining a technology-agnostic approach that prepares students to evaluate and adopt new AI innovations as they emerge. Through experiential learning, students will develop skills in selecting appropriate AI technologies for specific business use cases and managing the adoption of evolving AI capabilities within organizations.
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.