This course introduces foundational concepts, history, vocabulary, and applications of artificial intelligence (AI). Students explore modern AI systems, including generative models, and examine how these tools can augment human capacity across professional and organizational domains, including education. Particular emphasis is placed on responsible AI use in areas such as design, analysis, communication, decision-making, and workflow development. Students analyze AI tools, evaluate outputs, design human–AI workflows, and articulate ethical standards related to AI use in professional, institutional, and organizational contexts.

This course focuses on the strategic and ethical use of generative artificial intelligence to streamline personal and professional tasks. Students will explore how AI can function as a productivity partner in writing, document preparation, communication, planning, organization, media design, and other operational activities common in educational and workplace settings. Particular attention will be paid to human oversight, academic integrity, privacy safeguards, responsible prompt strategies, verification of outputs, and transparency practices that maintain trust and dignity in professional environments.

This course focuses on guiding students in the ethical, informed, and effective use of artificial intelligence tools to support learning, creativity, reflection, inquiry, and research. Participants will analyze educational opportunities and risks associated with student AI use, including digital citizenship, verification, integrity, equity, responsible disclosure, privacy, data ethics, bias, and intellectual honesty. Students will design instructional supports, resources, learning activities, guardrails, and implementation plans that empower students to use AI as a thoughtful, critical, and ethical partner in academic work.

This course focuses on helping project managers guide team use of AI tools for analysis, documentation, communication, and reflection throughout the project lifecycle. Participants will explore AI literacy, ethical use, risk awareness, data responsibility, and governance considerations while developing strategies for supporting teams as responsible and capable AI users. Project managers will design a toolkit of AI-enhanced project resources and workflows that promote clarity, accountability, efficiency, and informed decision-making across industries and project types.