April 28-29, 2026 | Online

AI Applications for Human-AI Teaming in Operations

Payment Deadline: April 23, 2026
CONTINUING EDUCATION & PROFESSIONAL DEVELOPMENT

AI-Powered Operational Insight

Organizations are increasingly blending human strengths with AI capabilities to improve speed, precision, and efficiency. This course helps you identify high-value collaboration opportunities across the operational lifecycle. Through guided simulations and design frameworks, you’ll learn how to streamline workflows, reduce bottlenecks, and enhance decision-making by integrating human–AI teaming into core processes.
  • Number of Sessions

    Online: April 28-29, 2026
  • Number of Hours

    Two 2-hour sessions
  • Course Investment

AI Applications for Human–AI Teaming in Operations

How It Works

AI Applications for Human–AI Teaming in Operations equips business leaders with a practical, non-technical understanding of how to turn AI into a true performance advantage. Through a highly interactive mix of discussion, real-world examples, and hands-on simulation, the course shows you how to identify high-value human–AI collaboration opportunities across operational workflows. You’ll learn to redesign processes where people and AI systems work together—improving speed, accuracy, engagement, and decision quality—so your organization can adopt AI confidently and compete more effectively.
AI Applications for Human–AI Teaming in Operations
  • From Concept to Design

    Participants learn how AI reshapes the division of labor in operational work through short lectures and guided group discussions that explore real business examples of human–AI collaboration.
  • Simulation and Design Sprint

    Through a live case simulation and rapid design sprint, participants re-engineer an operational process—such as demand forecasting or customer support triage—to test human–AI workflow designs and see their impact on performance and decision quality.

Learning Objectives

Diagnose key opportunities and barriers in human-AI collaboration within operational workflows. 

Analyze success factors for effective human-AI teaming using real-world examples. 

Design a human-AI workflow tailored to their organization’s needs.

Evaluate trade-offs between automation, augmentation, and human judgment.

Implement practical next steps to pilot or refine human-AI teaming in their workplace.

Instructor Spotlight

Bill Schmidt

William (Bill) Schmidt is an Associate Professor of Information Systems & Operations Management, specializing in operational disruptions and machine learning for decision-making. His research appears in top academic and practitioner journals, and he has received multiple teaching awards, including Cornell’s Core Faculty Teaching Award.
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Emory Executive Education Credentials

Upon successful completion of a course or a certificate you will earn a digital badge that will be emailed to you directly. You can showcase your Emory Executive Education credentials by adding your digital badge to your email signature, resume, personal website, Facebook, Twitter, or LinkedIn. These digital badges represent a visual certification that is embedded with data and will allow future employers to gain a better understanding of what you have learned.
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