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Description

Build skills to map workflows, identify inefficiencies and evaluate where AI can improve business operations while supporting implementation and measuring impact.

Outline

AI for Operational Efficiency provides a strategic framework for applying artificial intelligence to enhance organizational efficiency and drive operational excellence. Participants will learn structured approaches to workflow mapping and documentation, gaining the analytical tools necessary to trace the flow of work across diverse teams and departments. By identifying persistent bottlenecks and operational inefficiencies, participants will learn to pinpoint high-impact opportunities where AI tools can be deployed to streamline processes and elevate overall performance. Through a blend of real-world case studies and applied exercises, the curriculum connects emerging AI capabilities with practical, day-to-day business use.

Beyond initial implementation, the course emphasizes the design of robust, AI-enabled workflows that balance automation with essential human oversight and quality control. Learners will develop the analytical and financial understanding required to measure the success of AI initiatives, translating operational improvements into the specific metrics and financial language that resonate with organizational leadership. By the conclusion of the course, participants will be equipped not only to deploy AI solutions but also champion their business value, ensuring that technological changes deliver organizational impact.

Course Outcomes

By the end of this course, participants will be able to:

  • map and document organizational workflows to understand how work flows across teams and departments.
  • identify operational inefficiencies and evaluate where AI solutions may improve processes.
  • design AI-enabled workflows that integrate human oversight and quality control.
  • measure and evaluate the operational impact of AI implementations.
  • communicate the business value of AI initiatives using metrics and financial language relevant to organizational leadership.

Course Format

This six-week course blends elements of asynchronous and synchronous components to provide learners with flexibility in project work, while also having face-to-face time with instructors and fellow learners via Zoom. 

Each week learners will:

  • attend one 90-minute Zoom, during which students will participate in discussions and workshop their project with the instructor and peers
  • complete three to four hours of assignments or project work

Learners will be graded based on completion of assessed assignments/projects.

Testimonials

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Applies Toward the Following:

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Section Title
AI for Operational Efficiency
Type
Online, instructor led
Dates
Oct 26, 2026 to Dec 13, 2026
Delivery Options
Instructor Led Online  

Section Details

Contact: 612-625-2900 or ccapsreg@umn.edu

Zoom course meetings are 6:00-7:30 pm US Central Time on: 

  • Wednesdays: Oct. 28, Nov. 4, 11, 18, Dec. 2, 9
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