For centuries, society has considered revolutionary technologies like the printing press, the telegraph, and even the first computers major disruptors of work and life.
Generative AI: Forecasting Disruption
Generative AI: Forecasting Disruption
This course is part of Navigating Disruption: Generative AI in the Workplace Specialization
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
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
Skills you'll gain
Details to know
Earn a career certificate
Add to your LinkedIn profile
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.
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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
4 Courses5 learners
Offered by
Recommended if you're interested in Business Essentials
University of Michigan
University of Michigan
University of Michigan
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