Intro to Artificial Intelligence for Business
This course introduces students to the use of artificial intelligence in business contexts. Rather than focusing on any single AI tool or platform, the course aims to build a durable understanding of how AI systems work, where they are likely to improve, and where their weaknesses persist. Students will gain hands-on experience applying AI across four functional domains: aesthetic and presentation applications, research and data acquisition, analytical reasoning, and engineering. The course also addresses the security, confidentiality, and ethical implications of AI use in professional settings, including questions of fairness, evidentiary reliability, authorship and attribution, secure handling of data, and AI accountability and oversight.
Topics
- Explain how AI systems generate outputs and identify the sources of common failure modes such as hallucination, bias, and overconfidence.
- Produce professional business deliverables using AI tools across presentation, writing, research, analytical, and engineering domains.
- Evaluate AI-generated outputs for factual accuracy, bias, and fitness for purpose, and document the verification steps taken.
- Assess the confidentiality, security, and ethical risks of using AI in organizations, including questions of fairness, evidentiary reliability, authorship, attribution, accountability, and oversight, and draft appropriate governance policies.
- Construct effective prompts through iterative refinement, demonstrating an understanding of how prompt structure affects AI output quality.
Official roster learning outcomes
Sources
- Course catalogue ↗2026-2027