University of Michigan
Responsible Generative AI Specialization
University of Michigan

Responsible Generative AI Specialization

Developing AI skills for businesses and workers. Learn how to responsibly develop, assess, integrate, and govern generative AI for your role or at your organization.

Merve Hickok

Instructor: Merve Hickok

Included with Coursera Plus

Get in-depth knowledge of a subject
4.7

(170 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(170 reviews)

Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the potential benefits, use cases, and fundamentals of generative AI

  • Analyze the global impact, challenges, risks, and governance of generative AI

  • Evaluate the future implications of generative AI on business and society

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Taught in English
16 practice exercises

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  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Michigan

Specialization - 4 course series

What you'll learn

  • Understand the basics of generative AI

  • Discuss the application of generative AI

  • Describe the general risks associated with generative AI systems

Skills you'll gain

Generative AI, Data Quality, Governance, Leadership and Management, Intellectual Property, Artificial Intelligence, Data Security, Risking, AI Product Strategy, Data Ethics, and Responsible AI

What you'll learn

  • Understand the global nature of generative AI products and the diversity of its users

  • Make informed business decisions regarding the impact and risks of generative AI systems

  • Critically consider the different ways that generative AI impacts society

Skills you'll gain

Responsible AI, Environmental Issue, Risk Analysis, Social Sciences, Consumer Behaviour, Business Operations, Leadership and Management, Generative AI, Safety Standards, Business Risk Management, and Governance

What you'll learn

  • Understand emerging governance expectations for businesses developing and implementing generative AI

  • Identify relevant strategy considerations, costs, and key stakeholders for generative AI projects

  • Apply responsible AI analysis to generative AI decisions

Skills you'll gain

Governance, Regulation and Legal Compliance, Responsible AI, Cost Benefit Analysis, Stakeholder Management, Artificial Intelligence, Data Management, Accountability, Organizational Strategy, Compliance Management, Risk Analysis, Risk Management, Generative AI, AI Product Strategy, Data Governance, and Leadership and Management

What you'll learn

  • Explore scenarios for the future of work

  • Discuss the impact generative AI could have on labor and business

  • Make informed assessments about labor involvement in generative AI technologies

Skills you'll gain

Artificial Intelligence, Socioeconomics, Automation, Data Ethics, Generative AI, Workforce Management, Workforce Planning, Leadership and Management, Change Management, and Human Resources

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Instructor

Merve Hickok
University of Michigan
9 Courses14,966 learners

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