Associate Professor of Technology and Operations, Michael R. and Mary Kay Hallman Fellow
GenAI in Business: Strategies for Successful Execution
What You'll Learn
- Understand the current landscape of generative AI-driven business model transformation across a variety of industries and organization types
- Identify and communicate effectively with various stakeholders affected by the transformation
- Develop and apply a quantitative framework to rigorously assess the impact of generative AI on your organization
4 Modules
4 Hours
1 hr per module (approx.)
Rating
About GenAI in Business: Strategies for Successful Execution
In the third course of the "Generative AI in Business" series, we focus on the "Act" phase of the "See, Plan, Act" framework. This course will guide you through a structured, five-step process to build, launch, and scale the generative AI solution you’ve planned.
During the process, we'll analyze the critical factors that drive the long-term success of your generative AI project. You’ll learn how to assemble and manage the right team, optimize the user experience, and develop an effective communication strategy for both internal and external stakeholders. Additionally, we’ll cover how to track performance after launch and proactively identify and mitigate risks to ensure your generative AI solution continues to deliver value.
By the end of this course, you’ll have the tools and knowledge to confidently bring your generative AI solution to life and sustain its impact over time.
This is the third course in “Generative AI in Business,” a short course series for business professionals interested in using generative AI to support, enhance, and amplify the work of their organizations.
Skills You'll Gain
- AI Innovation
- Brand Strategy
- Business Process Management
- Decision Making
- Generative Artificial Intelligence
- Generative Model Architectures
- Innovation Management
- Statistical Analysis
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to GenAI in Business: Strategies for Successful Execution, the final course in the GenAI in Business series. This course focuses on the “Act” phase of the See–Plan–Act framework, guiding you from blueprint to real-world execution. You will learn how to pilot, optimize, and scale GenAI solutions while applying proven strategies that increase adoption, performance, and long-term business value.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1: Efficient Process to Build and Launch Your GenAI Solution
- Video: Series Overview
- Video: Welcome to the Course
- Reading: Course Syllabus
- Reading: Pre-Course Survey
- Video: The Pilot-Optimize-Rollout (POR) Process
- Video: POR Process in Action: Maizey AI
- Video: POR Process: Key Success Factors
- Reading: Importance of a Disciplined Process: Hershey's $100 Million Lesson
Module 2: Maximizing Success Probability: The People Factor
- Video: Innovation Pods and Your GenAI Project
- Video: Assembling Innovation Pods
- Video: Customizing Innovation Pods in Your Business
- Video: Managing Innovation Pods
- Reading: Importance of Talent Acquisition and Management: Knight's $440 Million Mistake
Module 3: Maximizing Success Probability: The Experience Factor
- Video: Importance of Customer Experience
- Video: Designing the Right Customer Experience
- Video: Optimizing Customer Communications
Module 4: Maximizing Success Probability: The Oversight Factor
- Video: Importance of Post-Launch Oversight
- Video: Maintaining Strong Performance Oversight
- Video: Maintaining Strong Risk Oversight
- Reading: Guided Case Study Introduction
- Video: Course Wrap-Up
- Reading: End-of-Course Survey
- Reading: Glossary & Additional Resources
- Reading: Continue your AI education with the AI Collection from Michigan Online
Grading Policy
To pass the course and earn a certificate, learners must earn an overall grade of 80% or higher. The final grade is based entirely on a single graded assessment, “GenAI at ZStyle: The Action Phase,” worth 100% of the course grade.
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No prior experience required
