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Generative AI: Forecasting Disruption

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Generative AI: Forecasting Disruption

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Gain insight into a topic and learn the fundamentals.
4.6

17 reviews

Beginner level
No prior experience required
5 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.6

17 reviews

Beginner level
No prior experience required
5 hours to complete
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

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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

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” lays the foundation for understanding our reaction to the rise of generative artificial intelligence by looking to the past. We examine a brief history of previous “revolutionary” communication technologies and how their impact can inform the way we think about advances in generative AI. You’ll then explore the nature of generative AI, how it works, and what it can do. As the course concludes, you’ll learn how to improve your results when using generative AI, and recognize what AI can – and cannot – accomplish. This is the first course in “Navigating Disruption: Generative AI in the Workplace,” a course series on ways to respond to new advances in AI in the workplace and our lives.

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

4 videosTotal 24 minutes
  • Series Overview & Course Introduction7 minutes
  • AI & the Printing Press6 minutes
  • Disruptive Information and Communication Technology6 minutes
  • Why It Is Important to Understand How AI Works5 minutes
3 readingsTotal 40 minutes
  • Course Syllabus10 minutes
  • Pre-Course Survey10 minutes
  • Artificial Intelligence: An Unprecedented Disruption20 minutes
1 discussion promptTotal 15 minutes
  • Reflect on Your Experience15 minutes

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 videos4 readings3 discussion prompts1 plugin

4 videosTotal 32 minutes
  • Flavors of AI7 minutes
  • Understanding LLMs8 minutes
  • Generating Images with AI7 minutes
  • Crash Course in Prompt Engineering10 minutes
4 readingsTotal 45 minutes
  • Previewing Predict the Next Word Activity5 minutes
  • Activity (Part 2): What the Model Learned10 minutes
  • Activity: The Turing Test15 minutes
  • Activity: How Word Choice Effects AI Outputs15 minutes
3 discussion promptsTotal 45 minutes
  • Reflecting on LLMs15 minutes
  • Turing Test Reflection15 minutes
  • Reflecting on Word Choice & AI Outputs15 minutes
1 pluginTotal 5 minutes
  • Activity (Part 1): Predict the Next Word5 minutes

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

3 videosTotal 29 minutes
  • Understanding How AI Learns9 minutes
  • Imperfections of AI12 minutes
  • Can AI Pass the Turing Test and Does it Matter?8 minutes
2 readingsTotal 25 minutes
  • The CLEAR Framework15 minutes
  • End of Course Survey10 minutes
1 assignmentTotal 15 minutes
  • Prompt Evaluation & Reflection15 minutes

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Showing 3 of 17

KM
·

Reviewed on Mar 21, 2025

An easy and well crafted course, highly recommend to all the people interested in exploring Generative AI.

AL
·

Reviewed on Feb 11, 2025

Some course content is inaccessible on mobile, and some AI prompts don't work the same way, as is described in the course.

VS
·

Reviewed on Dec 19, 2024

A very nice introduction to AI in general, and Generative AI in particular, to non-technical audience, but it also includes nuances for professionals in the field.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

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