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About the Course
You Will Learn To:
- Evaluate the business case for adopting generative AI in a range of domains, including marketing, supply chain, customer service, and engineering.
- Evaluate whether generative AI is a viable solution in a variety of business contexts.
- Develop your own roadmap for incorporating generative AI within your organization, including milestones, performance measurements, a resourcing plan, and a risk-mitigation strategy.
- Earn a credential certifying completion from the University of Chicago and become part of the UChicago network.
Career Outlook
As a tool of infinite capabilities, generative AI’s potential is endless, and it is poised to revolutionize whole industries. Already transforming the way we create art, music, and content, this cutting-edge technology will soon be disrupting education, healthcare, logistics, manufacturing, product development, and more. The leaders of tomorrow will be those who understand generative AI’s potential today, successfully leveraging it to their organizations’ competitive advantage. Now is the time to embrace this seismic shift and learn how wielding generative AI can empower you to meet the challenges of tomorrow.
1
is the position of generative AI among technologies most likely to impact business significantly.
Source: Cisco (2023)
25
%of surveyed C-suite executives say they are using generative AI business tools.
Source: QuantumBlack AI by McKinsey (2023)
40
%of respondents from companies report that their organizations will increase investment in AI overall because of advances in generative AI.
Source: QuantumBlack AI by McKinsey (2023)
- Analytics Consultant
- Analytics Specialist
- Artificial Intelligence Specialist
- Big Data Developer
- Business Intelligence Developer
- Chief Information Officer
- Chief Technology Officer
- Digital Innovation Officer
- Digital Product Director
- Director of Strategy
- Insights Analyst
- Program Director
- Program Manager
Meet Your Instructors
Patrick McQuillan, MBA
Analytics Executive and Strategy Consultant
Patrick McQuillan is passionate about data as a tool for change and decision-making. He has held leadership roles, most recently as the Global Head of Data Governance and Operational Effectiveness at Wayfair. Previously, he led international consulting teams to drive AI strategy and technology enablement for Fortune 100, government, and higher education clients.
A sought-after subject matter expert in data governance, business intelligence, and AI strategy, McQuillan earned an MBA from the University of Oxford and a Bachelor of Economics and International Affairs from Northeastern University.
Do you have questions?
The University of Chicago Approach to Online Learning
Our online learning programs are crafted with your specific needs in mind. Programs combine e-learning with live, interactive sessions to strengthen your skill set while maximizing your time. We couple academic theory and business knowledge with practical, real-world application. Through online learning sessions, you will have an opportunity to grow your professional network and interact with University of Chicago instructors and your classmates.
What Our Participants Say
“I have identified areas (design, operations, manufacturing, supply chain) where we can implement generative AI in our organization. The coursework helped me prepare the strategy needed to engage other leaders and digital teams in strategy discussions. I was also able to share the learnings with other leaders within my organization, and we will implement a pilot generative AI solution within our supply chain area.”
Clementine Uwineza
“I liked the framework for thinking about how to address opportunities along with the risk governance required to support the AI opportunity.”
Lisa Glynn
"The instructors' clear explanations and hands-on guidance made complex concepts accessible. I plan to use this knowledge immediately in streamlining and elevating my work with texts. Generative AI tools have become part of my day-to-day activities, and I'm anxious to learn more."
Jennifer Lang