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University of Michigan

Generative AI: Fundamentals, Applications, and Challenges

University of Michigan via Coursera

Overview

The rapidly evolving landscape of generative artificial intelligence (AI) means that both novice and skilled users alike should be aware of the proper applications and challenges of these powerful tools. In “Generative AI: Fundamentals, Applications, and Challenges,” you’ll discuss the potential benefits, uses, and challenges of a variety of applications for generative AI. Explore the impact these tools could have on business, operations, consumers, society, and the environment. Aspects of the course also dive into the general risks associated with this technology, including issues such as copyright infringement, outdated data, malicious attack surfaces, bias, and more. Throughout this course, you'll gain a strong baseline of knowledge for generative AI, one that will allow you to explore further considerations about its impact on businesses and society.

Syllabus

  • Introduction to the Course
  • Use Cases of Generative AI
  • Responsible Generative AI Concepts

Taught by

Merve Hickok

Reviews

4.7 rating at Coursera based on 40 ratings

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