This program is anticipated to launch Autumn 2026. The proposal has been submitted to the Northwest Commission on Colleges and Universities for review.
Overview
At a glance
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AI is reshaping how organizations innovate, and leaders who can guide that change are in high demand. This certificate is designed for program managers, strategy leaders and organizational decision-makers who need to guide AI adoption or non-adoption, manage associated risks and demonstrate measurable business value — without needing coding skills or becoming technical specialists.
Over nine months, organizational decision-makers will explore how to strategically apply AI to products and problems of practice. All courses are taught online, using a project-based learning model.
Skills you will learn:
- Evaluating AI capabilities, limitations and organizational risks with confidence
- Identifying generative AI opportunities and analyzing their return on investment
- Confidence guiding the use of generative AI tools
- Translating organizational problems into AI-enabled workflows, using low-code tools (no coding experience required)
- Designing and conducting risk assessments using industry standards and ethical frameworks
- Managing AI system monitoring, evaluation and iterative improvement over time
Completed graduate certificates are recorded on the student’s UW transcript.
Faculty
Learn from renowned scholars and professionals in the field of Artificial Intelligence.
Professor Chirag Shah creates AI-driven information access systems that provide more personalized recommendations. He focuses on making such systems transparent and responsible, evaluating their fairness and biases. [Full bio]
Assistant Professor Mike Teodorescu's research and teaching interests include AI fairness, AI policy, and innovation economics. He brings a rigorous information systems approach to the ethics of AI and ML fairness. [Full bio]
Assistant Teaching Professor Sara Sanford is passionate about leveraging data to eradicate inequities in employee and customer experiences, public policy and product design. Her teaching interests include bias, ethics and scaled AI. [Full bio]
Associate Teaching Professor Richard Sturman specializes in user-centered design, system analysis and design, and product development. He holds a strong belief that design and technology can be used to positively impact people’s lives. [Full bio]