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⇱ GenAI in Business: Planning Framework for Implementation | Coursera


GenAI in Business: Planning Framework for Implementation

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GenAI in Business: Planning Framework for Implementation

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Gain insight into a topic and learn the fundamentals.
4.8

35 reviews

Beginner level
No prior experience required
4 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.8

35 reviews

Beginner level
No prior experience required
4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify the right problems in your business where generative AI can deliver the highest value

  • Align your problems with the right generative AI solution types

  • Determine the right data in your business to integrate into your generative AI solution

Details to know

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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.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

In this course, you’ll learn how to identify the right business problems where generative AI can deliver the greatest value. We’ll guide you through the process of articulating these problems in terms of pain points and value levers, ensuring clarity for all stakeholders. Throughout each lesson, you’ll gain the main skills needed to “plan” your artificial intelligence acquisition, the second phase of the “See, Plan, Act” framework introduced in the “Generative AI in Business” series. With the problem defined, we’ll align it with the specific abilities your generative AI solution needs and help you choose the right technology and solution type.

Finally, you’ll develop a three-step roadmap to organize your data, evaluate its quality and readiness, and select the best approach to integrate it into your AI solution. By the end of the course, you’ll have a detailed blueprint for your generative AI solution, a clear understanding of the data you need, and a strategy for integrating it effectively into your business. This is the second course in the “Generative AI in Business,” a course series for business professionals interested in using generative AI to support, enhance, and amplify the work of their organizations.

In this module, we'll learn how to choose the right problem in your business for GenAI, and how to build a convincing case to key stakeholders on why the problem is worth solving.

What's included

6 videos5 readings

6 videosTotal 41 minutes
  • Welcome to the Course6 minutes
  • The PAD Framework5 minutes
  • Problem Step: Main Decision Flow4 minutes
  • Problem Search: The Top-Down Process6 minutes
  • Problem Search: Pain Points and Value Levers11 minutes
  • Problem Articulation9 minutes
5 readingsTotal 45 minutes
  • Course Syllabus10 minutes
  • Pre-Course Survey10 minutes
  • Finding the Right Problem for GenAI5 minutes
  • Estimating the value and difficulty of GenAI solutions10 minutes
  • Defining Your Problem using the Pain-to-Gain Approach10 minutes

Now that you have a clear problem in mind, in this module you will learn how to identify the right GenAI solution types for that problem.

What's included

4 videos1 reading

4 videosTotal 32 minutes
  • Ability Step: Main Decision Flow5 minutes
  • What Can GenAI Do?8 minutes
  • GenAI Ability Spectrum7 minutes
  • GenAI Solution Spectrum12 minutes
1 readingTotal 10 minutes
  • Align Needed Abilities with the Right Solution Type10 minutes

In this module, we’ll learn how to select the right data from your business and the most effective methods to integrate those data with your planned GenAI solution, in order to enable the solution to deliver the abilities that your problem calls for.

What's included

5 videos4 readings1 assignment

5 videosTotal 32 minutes
  • Data Step: Main Decision Flow3 minutes
  • Data Catalog5 minutes
  • Data Readiness10 minutes
  • Data Ingestion10 minutes
  • Course Wrap-Up4 minutes
4 readingsTotal 35 minutes
  • Using the Right Data to Power Your GenAI Solution10 minutes
  • Assignment Introduction5 minutes
  • Glossary & Additional Resources10 minutes
  • End-of-Course Survey10 minutes
1 assignmentTotal 30 minutes
  • GenAI at ZStyle30 minutes

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Instructor

Instructor ratings
4.2 (7 ratings)
University of Michigan
8 Courses135,936 learners

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Reviewed on Sep 1, 2025

Really insight full on how to implement AI in the organisation

Frequently asked questions

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