Coursera

Generative AI Essentials: Overview and Impact (Coursera)

Offered by University of Michigan,
Generative AI Essentials: Overview and Impact (Coursera)

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.

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

This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future.

What you'll learn

  • Learn how generative AI works
  • Explore the benefits and drawbacks of generative AI
  • Learn how generative AI can integrate into our daily lives

Syllabus

Generative AI Essentials: Overview and Impact
This short course introduces learners to generative artificial intelligence (GenAI) and explains how large language models and generative AI tools, like ChatGPT, work. Explore the ethical use of GenAI, the implications of authorship, and how these tools might be utilized and regulated moving forward. It brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI now and into the future.

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

Related Courses

Evaluations of AI Applications in Healthcare (Coursera) Coursera
Stanford University

Evaluations of AI Applications in Healthcare (Coursera)

Health & Society Data Science

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
Healthcare Artificial Intelligence Evaluation
Details
Fundamentals of Reinforcement Learning (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning (Coursera)

Data Science

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
ML Artificial Intelligence Machine Learning
Details
How Entrepreneurs in Emerging Markets can master the Blockchain Technology (Coursera) Coursera
University of Cape Town

How Entrepreneurs in Emerging Markets can master the Blockchain Technology (Coursera)

Economics & Finance Business

In this course, you will gain a thorough understanding of the blockchain and distributed ledger technologies, including an introduction to the necessary foundations in cryptography. The course will discuss blockchain as a distributed ledger and introduce distributed consensus as a mechanism to maintain the integrity of the blockchain. The other revolutionary technologies that are changing the world as we speak are artificial intelligence and machine learning. You will learn about the three major types of AI algorithms: supervised and unsupervised machine learning, as well as reinforcement learning.

Jun 22nd 2026
4 Weeks
Cryptography Artificial Intelligence Fintech
Details
Fundamentals of Machine Learning for Healthcare (Coursera) Coursera
Stanford University

Fundamentals of Machine Learning for Healthcare (Coursera)

Data Science

Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. This course will introduce the fundamental concepts and principles of machine learning as it applies to medicine and healthcare.

Jun 22nd 2026
5-12 Weeks
Healthcare Artificial Intelligence Machine Learning
Details
AI for Medical Diagnosis (Coursera) Coursera
DeepLearning.AI

AI for Medical Diagnosis (Coursera)

Data Science

AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already familiar with some of the math and coding behind AI algorithms, and are eager to develop your skills further to tackle challenges in the healthcare industry, then this specialization is for you. No prior medical expertise is required!

Jun 22nd 2026
3 Weeks
Artificial Intelligence Machine Learning AI
Details
A Complete Reinforcement Learning System (Capstone) (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

A Complete Reinforcement Learning System (Capstone) (Coursera)

Data Science

In this final course, you will put together your knowledge from Courses 1, 2 and 3 to implement a complete RL solution to a problem. This capstone will let you see how each component---problem formulation, algorithm selection, parameter selection and representation design---fits together into a complete solution, and how to make appropriate choices when deploying RL in the real world. This project will require you to implement both the environment to stimulate your problem, and a control agent with Neural Network function approximation. In addition, you will conduct a scientific study of your learning system to develop your ability to assess the robustness of RL agents. To use RL in the real world, it is critical to (a) appropriately formalize the problem as an MDP, (b) select appropriate algorithms, (c ) identify what choices in your implementation will have large impacts on performance and (d) validate the expected behaviour of your algorithms.

Jun 22nd 2026
5-12 Weeks
Artificial Intelligence Algorithms Machine Learning
Details
Technologies and platforms for Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Technologies and platforms for Artificial Intelligence (Coursera)

Robotics & Computer Vision

This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.

Jun 22nd 2026
4 Weeks
Artificial Intelligence Cloud Machine Learning
Details
Artificial Intelligence: An Overview (Coursera) Coursera
Politecnico di Milano

Artificial Intelligence: An Overview (Coursera)

Robotics & Computer Vision

The course will provide a non-technical overview of the artificial intelligence field. Initially, a discussion on the birth of AI is provided, remarking the seminal ideas and preliminary goals. Furthermore, the crucial weaknesses are presented and how these weaknesses have been circumvented. Then, the current state of AI is presented, in terms of goals, importance at national level, and strategies. Moreover, the taxonomy of the AI topics is presented.

Jun 22nd 2026
5-12 Weeks
Artificial Intelligence AI Coursera Plus
Details
Big Data Analytical Platform on Alibaba Cloud (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analytical Platform on Alibaba Cloud (Coursera)

CS: Information & Technology

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
Artificial Intelligence SQL Big Data
Details