Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

University of Michigan

Generative AI Essentials: Overview and Impact

University of Michigan via Coursera

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like. This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future. This course is licensed CC BY-SA 4.0 with the exclusion of the course image.

Syllabus

  • Generative AI Essentials: Overview and Impact
    • This short course introduces learners to generative artificial intelligence (GenAI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of GenAI, the implications of authorship, and how these tools might be utilized and regulated moving forward. It brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI now and into the future.

Taught by

Center for Academic Innovation Experts

Reviews

4.6 rating at Coursera based on 152 ratings

Start your review of Generative AI Essentials: Overview and Impact

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.