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

AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera) Coursera
IBM

AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera)

This is the fourth 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. Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company.

Jun 22nd 2026
2 Weeks
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera) Coursera
DeepLearning.AI

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

Jun 22nd 2026
4 Weeks
AI Workflow: Feature Engineering and Bias Detection (Coursera) Coursera
IBM

AI Workflow: Feature Engineering and Bias Detection (Coursera)

This is the third 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. Course 3 introduces you to the next stage of the workflow for our hypothetical media company. In this stage of work you will learn best practices for feature engineering, handling class imbalances and detecting bias in the data.

Jun 22nd 2026
2 Weeks
Human Factors in AI (Coursera) Coursera
Duke University

Human Factors in AI (Coursera)

This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products. The course begins with an introduction to human-centered design and the unique elements of user experience design for AI products.

Jun 22nd 2026
4 Weeks
AI Strategy and Governance (Coursera) Coursera
University of Pennsylvania

AI Strategy and Governance (Coursera)

In this course, you will discover AI and the strategies that are used in transforming business in order to gain a competitive advantage. You will explore the multitude of uses for AI in an enterprise setting and the tools that are available to lower the barriers to AI use. You will get a closer look at the purpose, function, and use-cases for explainable AI. This course will also provide you with the tools to build responsible AI governance algorithms as faculty dive into the large datasets that you can expect to see in an enterprise setting and how that affects the business on a greater scale.

Jun 22nd 2026
4 Weeks
Introduction to Deep Learning & Neural Networks with Keras (Coursera) Coursera
IBM

Introduction to Deep Learning & Neural Networks with Keras (Coursera)

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.

Jun 22nd 2026
5-12 Weeks
AI Applications in Marketing and Finance (Coursera) Coursera
University of Pennsylvania

AI Applications in Marketing and Finance (Coursera)

In this course, you will learn about AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data.

Jun 22nd 2026
4 Weeks
Evaluations of AI Applications in Healthcare (Coursera) Coursera
Stanford University

Evaluations of AI Applications in Healthcare (Coursera)

With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.

Jun 22nd 2026
5-12 Weeks
Big Data Analytical Platform on Alibaba Cloud (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analytical Platform on Alibaba Cloud (Coursera)

Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.

Jun 22nd 2026
5-12 Weeks
Introduction to Artificial Intelligence (AI) (Coursera) Coursera
IBM

Introduction to Artificial Intelligence (AI) (Coursera)

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.

Jun 22nd 2026
4 Weeks
Fundamentals of Reinforcement Learning (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning (Coursera)

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making.

Jun 22nd 2026
4 Weeks