University of Michigan
GenAI in Business: Discover the Possibilities

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University of Michigan

GenAI in Business: Discover the Possibilities

Andrew Wu

Instructor: Andrew Wu

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the core capabilities of leading generative AI tools as applied to business and professional settings

  • Envision and forecast new business possibilities offered by generative AI in the short and medium-term

  • Understand the key technical components of the generative AI technology

Details to know

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Recently updated!

October 2024

Assessments

1 assignment

Taught in English

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This course is part of the Generative AI in Business Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

In the first module, we explore the new (and sometimes radical) technical possibilities that generative AI brings to business. We will examine how generative AI can transform everyday business tasks across various functions and sectors. We begin by analyzing a typical day in the office---and see firsthand how these technologies can reshape workflows and drive innovation.

What's included

4 videos5 readings

In this module, we take an in-depth look at a real-world business where generative AI is deployed in a complex environment. We'll examine the end-to-end process of designing and implementing a generative AI-based learning assistant at the University of Michigan, which provides 24/7 Q&A support to thousands of students. This case study will highlight key lessons on selecting the right business area for AI transformation, integrating the appropriate data, and deploying strategies to maximize value and ensure success---concepts that we'll expand and refine in the next courses.

What's included

3 videos1 reading

In this closing module, we will unpack the case and concepts discussed so far, and explain the key terminology that defines the specifics of how generative AI functions. The course concludes with a guided case study that will assess your ability to leverage what you've learned to appraise appropriate generative AI applications. We'll also provide supplemental resources for your continued learning and reference.

What's included

4 videos3 readings1 assignment

Instructor

Andrew Wu
University of Michigan
8 Courses99,324 learners

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Recommended if you're interested in Business Strategy

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