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

(172 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(172 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
16 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • 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, AI Product Strategy, Leadership and Management, Data Security, Intellectual Property, Data Ethics, Governance, Responsible AI, Artificial Intelligence, Risking, and Data Quality

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

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

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Merve Hickok
University of Michigan
9 Courses15,249 learners

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