MBI Professional Series: Upskilling With GenAI Workshop

Practical AI Skills for Responsible Business 

About the Program

The MBI Professional Series: Upskilling With GenAI Workshop, taking place December 10-11, 2024, offers an exclusive opportunity to understand the transformative power of Generative AI (GenAI) within a business context. Guided by esteemed McIntire School of Commerce instructors, Jingjing Li and Stefano Grazioli, this in-person workshop delivers an immersive experience, focusing on critical skills such as prompt engineering, AI model fine-tuning, retrieval-augmented generation, and the strategic deployment of AI agents—all while underscoring the paramount importance of AI safety and ethical practices.

This program is designed for business professionals with no technical backgrounds, and technical content will be taught in a low-code and no-code manner. Participants will gain a deep, practical understanding of GenAI, enabling them to interact with AI technologies more proficiently, make data-driven decisions with confidence, and optimize business operations. Join this small community of likeminded professionals committed to rapid AI upskilling. Leverage your employee benefits to invest in your microlearning this fall.

Logistics

• All instruction will be in Fairfax at 8095 Innovation Park Drive Fairfax, Virginia 22042.
• Schedule
  • Day One: 9:00AM - 6:00PM
  • Day Two: 9:00AM - 5:00PM
• Breakfast, lunch, and snacks will be provided.
• The program is $2,750 total. If you are a University of Virginia alum, email northern@virginia.edu for an alumni discount code to reduce the price to $2,500.

Professor Bios

Jingjing Li, Andersen Alumni Associate Professor, Co-Director of the M.S. in Business Analytics Program, and Associate Director of the Center for Business Analytics at the McIntire School of Commerce, University of Virginia

Jingjing Li’s research focuses on AI and big data analytics, with applications spanning search engines, healthcare, marketing, platforms, and public policy. Her work, published in top business journals, has received multiple awards, including the INFORMS Design Science Award, CIST Best Paper Award, INFORMS Data Science Workshop Best Paper Award, WITS Best Paper Award, WITS Best Prototype Award, and she was a finalist for the Shelby D. Hunt/Harold H. Maynard Award. Funded by organizations such as the NSF, Amazon, Google, Microsoft, Jefferson Trust and UVA, her research continues to push the boundaries of AI. Professor Li has also been recognized for her excellence in teaching, receiving an award for her Business Intelligence course at the Leeds School of Business at the University of Colorado Boulder, being named Poets & Quants’ Best Undergraduate Professor in 2023, and receiving the 18th annual Faculty Award from UVA's Order of Claw and Dagger.

Stefano Grazioli, Professor of Information Technology and Innovation, Director of the M.S. in the Management of Information Technology Program, and Teaching Fellow at the McIntire School of Commerce, University of Virginia.

Professor Grazioli teaches managers to deliver greater business value through information technology. He has taught a variety of IT and digital innovation topics in the United States, Europe, and South America. He has conducted research, educational, and training projects for Bank of America, the Internal Revenue Service, Norwest Bank, KPMG, and Informix (now IBM). His contributions as an educator have been recognized with the UVA All-University Teaching award, the 12th annual Faculty Award from UVA's Order of Claw and Dagger, and the Jefferson Scholars Foundation Award for Excellence in Teaching.

Email all questions to northern@virginia.edu.