Generative AI Essentials: Overview and Impact (Coursera)

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

Machine Learning and Human Learning (Coursera) Coursera
University of Illinois at Urbana-Champaign

Machine Learning and Human Learning (Coursera)

This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence.

Nov 23rd 2026
4 Weeks
Ethical AI Use (Coursera) Coursera
University System of Georgia

Ethical AI Use (Coursera)

The "Ethical AI Use" course delves into the critical intersection of technology and ethics, focusing on the responsible development and deployment of artificial intelligence (AI). Participants will explore the evolution of AI, distinguishing between the two fundamental types, and examine the ethical considerations inherent in the realm of generative AI.

Nov 23rd 2026
2 Weeks
Generative AI for the Resilient Pricer (Coursera) Coursera
Dartmouth College

Generative AI for the Resilient Pricer (Coursera)

In this course we’ll address the concept of leveraging Gen-AI in various economic and operational circumstances to rapidly generate pricing insights. Disruption occurs at an ever-increasing pace, driving imperfect information, limited response time, and competing priorities. The commercial excellence discipline is one that requires a holistic approach to delivering results, and those who complete this course will come away with the understanding necessary to determine where to focus for maximum effect.

Nov 23rd 2026
4 Weeks
Security for Artificial Intelligence Software and Services (Coursera) Coursera
Board Infinity

Security for Artificial Intelligence Software and Services (Coursera)

The "Security Basics for Artificial Intelligence Software and Services" course provides an in-depth exploration of security measures and best practices in the context of AI. Spanning two comprehensive modules, the course begins with an introduction to the fundamentals of AI security, including ethical considerations and common threats. It then progresses to practical strategies for implementing robust security in AI development, such as secure coding, vulnerability assessment, and adherence to compliance standards.

Nov 23rd 2026
2 Weeks
Google Cloud Product Fundamentals em Português Brasileiro (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals em Português Brasileiro (Coursera)

Este curso é uma continuação do "Business Transformation with Google Cloud" e guiará você pela jornada de transformação de uma organização do ponto de vista tecnológico. Explicaremos como as organizações podem fazer a transformação digital usando a tecnologia do Google Cloud nestas categorias: modernização da infraestrutura de TI; melhorias no processo de desenvolvimento dos aplicativos da empresa; uso do machine learning e da inteligência artificial para criar novo valor; a importância de ferramentas de produtividade como o G Suite na realização do trabalho; e compreender as oportunidades e os desafios da gestão do custo que uma infraestrutura de TI na nuvem traz.

Nov 23rd 2026
5-12 Weeks
Generative AI's Applications in Marketing Analytics (Coursera) Coursera
Edureka

Generative AI's Applications in Marketing Analytics (Coursera)

Welcome to the "Generative AI's Applications in Marketing Analytics" short course, a journey into the innovative fusion of Generative AI and marketing analytics. Throughout this course, you'll embark on an exploration of how Generative AI can revolutionize marketing analytics, offering powerful tools to drive insights, predictions, and strategies.

Nov 23rd 2026
1 Week
Machine Learning in Healthcare: Fundamentals & Applications (Coursera) Coursera
Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Nov 23rd 2026
4 Weeks
Machine Learning for All (Coursera) Coursera
University of London

Machine Learning for All (Coursera)

Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to revolutionise almost any area of human life and work, and so will affect all our lives, and so you are likely to want to find out more about it.

Nov 16th 2026
4 Weeks
Math for AI beginner part 1 Linear Algebra (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Math for AI beginner part 1 Linear Algebra (Coursera)

'Learn concept of AI such as machine learning, deep-learning, support vector machine which is related to linear algebra. Learn how to use linear algebra for AI algorithm. After completing this course, you are able to understand AI algorithm and basics of linear algebra for AI applications.

Nov 23rd 2026
5-12 Weeks
Generative AI in HR - Impact and Application of Gen AI (Coursera) Coursera
Board Infinity

Generative AI in HR - Impact and Application of Gen AI (Coursera)

"Generative AI in HR - Impact and Application of Gen AI HR Tools" is a comprehensive course designed to explore the transformative role of generative AI in human resources. Across two modules, this course covers the fundamentals of generative AI, its applications in HR, and the broader implications for the future. It delves into practical uses in recruitment, employee engagement, and training, as well as critical discussions on ethics, bias, and privacy. Emerging trends and predictive analytics are also explored, preparing HR professionals for the evolving landscape of AI in the workplace.

Nov 23rd 2026
2 Weeks