Generative AI in Business

University of Michigan via Coursera Specialization

Overview

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With companies worldwide exploring how to harness generative AI’s potential, it’s critical to make informed decisions about when and how to adopt these technologies. The Generative AI in Business course series provides business leaders with a step-by-step guide to incorporate generative AI into their business operations, product offerings, and organizational structures. Through this series, you’ll gain a deep understanding of generative AI’s capabilities, learn to create a tailored action plan based on your specific business challenges, and develop effective strategies to execute that plan. By the end, you'll be equipped with the tools and knowledge to evaluate, implement, and scale GenAI solutions that meet your unique business needs.

Syllabus

Course 1: GenAI in Business: Discover the Possibilities
- Offered by University of Michigan. As the first course in the Generative AI in Business series, this course introduces the "See" phase of ... Enroll for free.

Course 2: GenAI in Business: Planning Framework for Implementation
- Offered by University of Michigan. In this second course of the Generative AI in Business series, we focus on the "Plan" phase of the "See, ... Enroll for free.

Course 3: GenAI in Business: Strategies for Successful Execution
- Offered by University of Michigan. In the third course of the "Generative AI in Business" series, we focus on the "Act" phase of the "See, ... Enroll for free.

Courses

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3 hours 11 minutes
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As the first course in the Generative AI in Business series, this course introduces the "See" phase of the See, Plan, Act framework. In this course, you’ll explore the transformative possibilities that generative AI offers to businesses. We begin by examining how generative AI is reshaping industries, automating routine tasks, and driving innovation in customer interactions and strategic insights. Through a detailed real-world case study, you will see how a large, complex business successfully implemented a generative AI solution, turning it into a valuable productivity tool. One key takeaway is understanding the critical role your business data plays in unlocking the full potential of generative AI. You’ll learn how to connect generative AI with your own data to transform it from a general tool into a customized solution tailored to your specific business needs. By the end of this course, you’ll be able to identify and evaluate new opportunities where generative AI can create value for your organization, giving you the foundational knowledge to move forward with confidence in your AI strategy. This course lays the groundwork for the next phases: planning and executing a successful generative AI implementation in your business.
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3 hours 45 minutes
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In this second course of the Generative AI in Business series, we focus on the "Plan" phase of the "See, Plan, Act" sequence. At the core of this course is the PAD framework—Problem, Abilities, Data—developed through collaborations with companies across various industries during their AI transformation journeys. 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. 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.
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3 hours 28 minutes
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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 GenAI 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 GenAI 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.