Leveraging AI for Business

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Understand Transformational Technology.

    • Offered in the Fall and Spring!

Leveraging AI for Business is a practical, non-technical 2-day course designed for business professionals who want to confidently understand and apply AI to drive innovation, efficiency, and competitive advantage. Focused on strategy—not coding—this course equips you with the frameworks and tools needed to evaluate AI opportunities and lead AI-enabled initiatives across your organization. This course will help you to:

  • Understand the AI and generative AI landscape and its implications for business strategy

  • Identify and design high-impact AI use cases aligned with organizational goals

  • Assess readiness and lead responsible AI adoption across teams and functions

What you will learn

  • Build a practical, non-technical understanding of AI, machine learning, generative AI, and the evolving AI landscape
  • Identify high-impact AI opportunities and design practical use cases and AI agents that create value and improve organizational efficiency
  • Assess your organization’s AI readiness and develop responsible strategies for integrating AI while navigating workforce, ethical, and organizational impacts

Course At-a-glance

    • Dates: 

      • Fall 2026: December 8-9 (9:00 a.m. - 4:30 p.m.)

      • Spring 2027: April 20-21 (9:00 a.m. - 4:30 p.m.)

    • Payment Deadlines:

      • Fall 2026: December 3, 2026

      • Spring 2027: April 15, 2027

    • On-Campus

      $2,495 Course Investment*

      *$1,995 Early-Bird Course Investment, use discount code:

      • LAIBDEC26 available until November 6, 2026

      • LAIBAPR27 available until March 20, 2027

    • *Discounts available for groups of 3 or more, civic organizations, Emory alumni, and Emory staff & faculty, and custom clients. Contact our Learning Advisor, Heather Dufault, for more information. Discounts do not apply to Early-Bird or Limited-Time pricing.

Registration closes in

89

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Instructor Spotlight

 

  • Jesse Bockstedt's, Senior Associate Dean for Graduate Programs and Professor of Information Systems & Operations Management, research examines behavioral economics in technology-driven environments, and he is a recognized voice on how organizations can effectively integrate AI and emerging technologies.

 

 

  • Rajiv Garg, Professor of Information Systems & Operations Management, researches information flow in digital platforms and networks, using data-driven methods to inform strategy and public policy. His work appears in leading journals such as Management Science and MIS Quarterly and has been featured in major media outlets including Forbes and Fortune.

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