ChatGPT Teach-Out (Coursera)

ChatGPT Teach-Out (Coursera)

This Teach-Out introduces learners to artificial intelligence and explains how large language models and chatbots like ChatGPT work. You will better understand the ethical use of artificial intelligence, the implications of authorship, and how tools like ChatGPT might be utilized and regulated moving forward.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

ChatGPT launched in November 2022 in an effort to enhance natural language processing tasks like translation, text summarization, and text generation. Within five days of release, ChatGPT crossed 1 million users. By the two-month mark, it surpassed 100 million users.
Soon after its launch, concerns regarding the ethical implications of ChatGPT's usage began to emerge, particularly in education. This Teach-Out brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, healthcare delivery, and law to discuss the impacts of ChatGPT now and into the future.
This Teach-Out will answer:

  • What is ChatGPT and how does it work?
  • What are the benefits and drawbacks of using ChatGPT?
  • What are legal implications of using ChatGPT?
  • How have society, the economy, and education responded to ChatGPT?
  • How might ChatGPT be integrated into society moving forward?

Syllabus

WEEK 1
ChatGPT Teach-Out
In November 2022, the artificial intelligence (AI) tool ChatGPT launched with the primary purpose of enhancing natural language processing tasks like language translation, text summarization, and text generation. Within the first week of it’s release, ChatGPT quickly gained widespread attention in the media and attracted over one million users from all over the world. However, soon after its launch, concerns regarding the ethical implications of ChatGPT's usage began to emerge, particularly in education. As the use of ChatGPT becomes more widespread, there is an acute need for awareness and dialogue across all communities. The goal of the Teach-Out is to bring diverse perspectives of both experts and learners together for rich and thoughtful discourse.

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

Related Courses

Capstone Project: Advanced AI for Drug Discovery (Coursera) Coursera
LearnQuest

Capstone Project: Advanced AI for Drug Discovery (Coursera)

In this capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. The first step in drug discovery involves identifying target subsequences of theirs genome to target. We'll start by comparing the genomes of virus mutations to look for similarities. Then, we'll perform PCA to cut down our number of dimensions and identify the most common features.

Jun 1st 2026
3 Weeks
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Jun 1st 2026
5-12 Weeks
Sample-based Learning Methods (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Sample-based Learning Methods (Coursera)

In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain optimal behavior. We will cover intuitively simple but powerful Monte Carlo methods, and temporal difference learning methods including Q-learning. We will wrap up this course investigating how we can get the best of both worlds: algorithms that can combine model-based planning (similar to dynamic programming) and temporal difference updates to radically accelerate learning.

Jun 1st 2026
4 Weeks
AI Workflow: AI in Production (Coursera) Coursera
IBM

AI Workflow: AI in Production (Coursera)

This is the sixth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This course focuses on models in production at a hypothetical streaming media company. There is an introduction to IBM Watson Machine Learning.

Jun 1st 2026
4 Weeks
Innovations in Investment Technology: Artificial Intelligence (Coursera) Coursera
University of Michigan

Innovations in Investment Technology: Artificial Intelligence (Coursera)

Explore the evolution of AI investing and online wealth management. Investing and managing your wealth online has never been easier, but how does AI investing work and what are the challenges? On this course, you’ll explore how technology has changed the way we invest money. You’ll consider the evolution of AI-driven online wealth management platforms, robo-advisors, and learn how they work and why they’re successful.

Jun 1st 2026
4 Weeks
Computer Vision in Microsoft Azure (Coursera) Coursera
Microsoft

Computer Vision in Microsoft Azure (Coursera)

In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images.

Jun 1st 2026
3 Weeks
The Economics of AI (Coursera) Coursera
University of Virginia

The Economics of AI (Coursera)

The course introduces you to cutting-edge research in the economics of AI and the implications for economic growth and labor markets. We start by analyzing the nature of intelligence and information theory. Then we connect our analysis to modeling production and technological change in economics, and how these processes are affected by AI. Next we turn to how technological change drives aggregate economic growth, covering a range of scenarios including a potential growth singularity.

Jun 2nd 2026
5-12 Weeks
Generative AI for Everyone (Coursera) Coursera
DeepLearning.AI

Generative AI for Everyone (Coursera)

Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative AI to help in day-to-day work and receive tips on effective prompt engineering, as well as learning how to go beyond prompting for more advanced uses of AI.

Jun 2nd 2026
3 Weeks
Cognición encarnada (Coursera) Coursera
Universidad Nacional Autónoma de México

Cognición encarnada (Coursera)

Esta materia de corte teórico forma parte del programa especializado introducción a la Inteligencia Artificial, aunque puede tomarse de manera independiente. Las ciencias cognitivas estudian el conocimiento, por lo que abarca a una diversidad de disciplinas, tales como la psicología, neurofisiología, lingüística, filosofía y también la inteligencia artificial.

Jun 1st 2026
3 Weeks