Overview
Kellogg Executive Education has designed the AI Strategies for Business Transformation program for forward-thinking business leaders like you who are eager to harness the transformative potential of AI, with a strong focus on generative AI (gen AI) and the ethical complexities of today’s AI landscape. This online program leverages the academic and professional experience of a globally recognized AI expert to explore frameworks and strategies for both horizontal and vertical AI integration across industries and organizations. Over eight weeks, you will gain insights on AI agents and learn value propositions in business implementation to improve productivity, drive revenue growth, and enhance innovation. By leveraging case studies, proprietary frameworks and principles, industry examples, and a capstone project, this program provides sustainable approaches and recommendations to develop organizational capability to lead AI-driven transformation. It offers practical applications of gen AI in customer experience management, operations management, business support functions, and other key sectors, empowering you to manage the data, costs, value, and workforce impacts of AI adoption
Course Description & Learning Outcomes
Assess the impact of AI, Generative AI and Agentic AI on business growth, productivity, and innovation in diverse organizational contexts.
Apply frameworks to assess AI readiness, including AI Canvas 2.0, AI Radar 2.0, and AI Capability Maturity Model (CMM)
Identify high-value AI use cases across customer experience, operations, and support functions— tailored to industry needs
Recognize the ethical, governance, and societal implications of AI, ensuring responsible and ethical implementation
Design an AI transformation plan and a strategic transformation roadmap for an organization
Recommended Prerequisites
Prerequisites are not needed
Schedule
End Date: 25 Mar 2026, Wednesday
Location: Online
Agenda
| Day/Time | Agenda Activity/Description |
|---|---|
| Module 1 | Foundations of AI—From Prediction to Creation to Autonomy |
| Module 2 | AI and Customer Experience Management |
| Module 3 | AI and Operations Management |
| Module 4 | AI and Business Support Functions |
| Module 5 | AI Applications in Selected Industries |
| Module 6 | Generative AI and Creative Industries—Transforming Media, Art, and Design |
| Module 7 | AI and Business Transformation—Strategy, Capabilities, and Governances |
| Module 8 | AI and Society—Ethics, Regulation, and Jobs |
Pricing
Course fees: US$3,200 before 20% Deep Tech Central discount rate In order to qualify for the 20% discount, sign up for the course on Deep Tech Central, using the registration link available here or by emailing us at [email protected]
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Cloud Computing (Proficiency level: Proficient)
- Usability Design (Proficiency level: Proficient)
- Deep Learning (Proficiency level: Beginner)
Speakers
Trainer's Profile:
Mohanbir Sawhney, Clinical Professor of Marketing, Northwestern Kellogg Executive Education
Prof. Sawhney is a globally recognized scholar, teacher, consultant and speaker in business innovation, modern marketing, and Artificial Intelligence applications in business. Prof. Sawhney has written seven management books as well as dozens of influential articles in leading academic journals and managerial publications. His most recent book, The Sentient Enterprise: The Evolution of Business Decision Making, was published in October 2017 and was on the Wall Street Journal bestseller list. He has also written a book of poetry called Love, Longing and Loneliness in 2014. His research has been published in leading journals like California Management Review, Harvard Business Review, Journal of Interactive Marketing, Management Science, Marketing Science, MIT Sloan Management Review, and Journal of the Academy of Marketing Science. He is a contributor to Forbes and his articles have been published in Fortune, Financial Times, and CIO Magazine.
