Generative AI: Forecasting Disruption

University of Michigan via Coursera

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Overview

"Generative AI: Forecasting Disruption" is a forward-thinking course designed for professionals, business leaders, and technology enthusiasts who want to understand the potential disruptive impact of generative AI across industries. This course delves into how generative AI technologies, like machine learning models, neural networks, and deep learning algorithms, are transforming sectors ranging from healthcare and finance to entertainment and manufacturing. Participants will explore the emerging trends and advancements in generative AI, learning how these technologies are reshaping traditional business models, operational strategies,...

Syllabus

Getting Started

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, well work to situate generative AI as a disruptive technology by drawing parallels to past technological advances. Lets get started!

Affordances of AI

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. Well 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, well spend some time working to better understand the process of prompt engineering in an effort to optimize our own interactions with AI.

Limitations of AI

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