University of Michigan
Generative AI: Forecasting Disruption
University of Michigan

Generative AI: Forecasting Disruption

Josh Pasek

Instructor: Josh Pasek

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain the basics of generative AI tools

  • Compare the effects of generative AI to earlier technological advances

  • Identify the key accomplishments and limitations of generative AI tools

  • Identify basic strategies for writing prompts for generative AI

Details to know

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Recently updated!

November 2024

Assessments

1 assignment

Taught in English

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This course is part of the Navigating Disruption: Generative AI in the Workplace Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

Welcome to the course! In this module, we will begin with an overview of the Navigating Disruption series and the goals of this first course, Generative AI: Forecasting Disruption. After reflecting on our experiences with generative AI to date, we’ll work to situate generative AI as a disruptive technology by drawing parallels to past technological advances. Let’s get started!

What's included

4 videos3 readings1 discussion prompt

In this module, we will focus in more detail on the affordances of AI. We will begin by differentiating various type of AI and examining the ways in which large language models operate. We’ll move on from there to explore how AI can generate visuals and consider the implications of how real those visuals appear in comparison to traditional visual media. Lastly, we’ll spend some time working to better understand the process of prompt engineering in an effort to optimize our own interactions with AI.

What's included

4 videos3 readings3 discussion prompts1 plugin

In this module, we will focus on the limitations of AI. These limitations are rooted in the ways AI learns and generates outputs, so we’ll first examine these two processes in detail. We’ll close the course by evaluating AI’s ability to generate outputs to achieve a particular goal.

What's included

3 videos2 readings1 assignment

Instructor

Josh Pasek
0 Courses0 learners

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