Generative AI Prompt Engineering 101 (Jan. 27, 2026)
- Registration Closed
Most users treat Generative AI like a Google search, but the real power lies in treating it like a talented intern. This 60-minute crash course will cut through the hype to give you a practical, hands-on toolkit for engaging with AI to get your job done faster and better.
Benjamin Lubin, Clinical Associate Professor of Information Systems at Boston University's Questrom School of Business, will teach you the standardized frameworks used by power users to get better results in half the time. Whether you are drafting emails, summarizing long reports, or brainstorming ideas, this session will give you the secret sauce for getting the AI to deliver exactly what you need.
By the end of this 60-minute session, you will be able to:
- Construct high-performance prompts
- Apply iterative refinement to troubleshoot poor AI responses and coach the tool toward a better final product
- Deploy persona-based Instructions to ensure AI outputs matches your professional voice
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LockedBenjamin Lubin
Clinical Associate Professor, Information Systems
Questrom School of Business
After receiving his Bachelor's degree in Computer Science from Harvard University in 1999, Dr. Lubin joined BBN Technologies, the research and development firm where the first internet routers were developed, working on advanced multi-agent modeling, scheduling and logistics systems. After six years in industry, he returned to Harvard University to pursue a Ph.D. at the intersection of computer science, game theory and economics. He is now an Assistant Professor in the Information Systems department of the Boston University Questrom School of Business. His research is in three primary areas: (1) mechanism design, especially of combinatorial auctions and exchanges, mechanisms that support efficient reallocation of goods when participants have complex preferences regarding bundles of items, (2) the use of spectral graph theory to advance the analysis of social networks, and (3) applications of network science and machine learning to understanding and improving the healthcare delivery system. Dr. Lubin is a recipient of the Siebel Fellowship and a Yahoo Key Technical Challenge award. Portions of his research are funded by NIHCM and the Veterans Administration.
