Coursera

User Awareness and Education for Generative AI (Coursera)

Offered by Coursera Instructor Network,
User Awareness and Education for Generative AI (Coursera)

This course aims to empower general users with a friendly and non-technical understanding of Generative AI. It emphasizes the importance of transparency in AI systems, helping learners to comprehend how AI decisions are made.

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

By highlighting the importance of user awareness, transparency, and informed decision-making, learners will be better equipped to make informed choices and interact with AI responsibly and confidently. The strategies and insights provided will help learners explore the creative potential of Generative AI while ensuring ethical practices and safeguarding against potential risks.
The course encourages active participation and emphasizes the collective responsibility of users in shaping the future of AI.
This course is designed for any employee or manager of a business that is either using or contemplating using AI and Generative AI, or anyone seeking to enhance their knowledge of the subject. The course is designed to give students a plain-language basic understanding of the topic and some of the nuances of using AI.
There are no specific prerequisites for this course. A basic understanding of computers and business will be helpful, but not mandatory. An open mind and curiosity about the broader societal impact of AI will enhance the learning experience.

What you'll learn

  • Explain the background of Generative AI and how it differs from older AI models.
  • Describe how Generative AI is impacting the world of business and entertainment.
  • Describe ways to enhance user awareness and encourage ongoing education around AI and Generative AI.
  • List ways to build user trust in AI systems.

Syllabus

User Awareness and Education for Generative AI
This course aims to empower general users with a friendly and non-technical understanding of Generative AI. It emphasizes the importance of transparency in AI systems, helping learners to comprehend how AI decisions are made. The course encourages active participation and emphasizes the collective responsibility of users in shaping the future of AI.

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

Related Courses

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

Generative AI Essentials: Overview and Impact (Coursera)

Robotics & Computer Vision

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.

Jun 26th 2026
1 Week
Artificial Intelligence AI Coursera Plus
Details
Behavioral Finance (Coursera) Coursera
Duke University

Behavioral Finance (Coursera)

Management & Leadership Economics & Finance

We make thousands of decisions every day. Do I cross the road now, or wait for the oncoming truck to pass? Should I eat fries or a salad for lunch? How much should I tip the cab driver? We usually make these decisions with almost no thought, using what psychologists call “heuristics” – rules of thumb that enable us to navigate our lives. Without these mental shortcuts, we would be paralyzed by the multitude of daily choices.

Jun 22nd 2026
3 Weeks
Finance Business Money
Details
AI Workflow: Business Priorities and Data Ingestion (Coursera) Coursera
IBM

AI Workflow: Business Priorities and Data Ingestion (Coursera)

Data Science

This is the first course of a six part 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 first course in the IBM AI Enterprise Workflow Certification specialization introduces you to the scope of the specialization and prerequisites.

Jun 22nd 2026
2 Weeks
Artificial Intelligence Machine Learning Data Science
Details
Value and Individual Decision Making (Coursera) Coursera
Yunus Social Business Fund Bengaluru

Value and Individual Decision Making (Coursera)

Economics & Finance Business

This course is part of a Specialization titled “Strategy and Finance for a Lifecycle of a Social Business”. It is an introduction to time value of money and will help the learner understand the basics of finance with the ultimate goal of valuing a company from a societal lens. The beauty of the modern decision-making framework is that it can be used to understand value creation at any level – the individual, the corporate or nonprofit entity level and from the point of view of society. The applications however become increasingly complex as your lens expands from the individual to the corporate/nonprofit to the global society.

Jun 24th 2026
5-12 Weeks
Financial Decision Making TVM
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
Introduction to Artificial Intelligence (AI) (Coursera) Coursera
IBM

Introduction to Artificial Intelligence (AI) (Coursera)

Data Science

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
Artificial Intelligence Machine Learning Job
Details
Effective Problem-Solving and Decision-Making (Coursera) Coursera
University of California, Irvine

Effective Problem-Solving and Decision-Making (Coursera)

Business

Critical thinking – the application of scientific methods and logical reasoning to problems and decisions – is the foundation of effective problem solving and decision making. Critical thinking enables us to avoid common obstacles, test our beliefs and assumptions, and correct distortions in our thought processes. Gain confidence in assessing problems accurately, evaluating alternative solutions, and anticipating likely risks. Learn how to use analysis, synthesis, and positive inquiry to address individual and organizational problems and develop the critical thinking skills needed in today’s turbulent times. Using case studies and situations encountered by class members, explore successful models and proven methods that are readily transferable on-the-job.

Jun 22nd 2026
4 Weeks
Data Analysis Decision Making Critical Thinking
Details
Managing the Organization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Managing the Organization (Coursera)

Management & Leadership

This course is intended to help you become a better manager by helping you to more fully understand and deal with some of the complexities and challenges associated with managerial life in organizations. In this course, you will learn theories, principles, and frameworks that will help you to more effectively manage and lead the organizations that you belong to. We will view organizations from different perspectives that we will use as lenses to help us highlight common managerial challenges and point us toward solutions to those challenges. Some of these common challenges that we will explore in this course include using power effectively, implementing organizational change, understanding and managing organizational culture, decision-making including decision-making pitfalls and ethical traps, and leadership. As you learn and apply the principles from this course, you will be better prepared to navigate some of the complex challenges that you face as a manager.

Jun 24th 2026
4 Weeks
Management Ethics Leadership
Details
AI Workflow: Feature Engineering and Bias Detection (Coursera) Coursera
IBM

AI Workflow: Feature Engineering and Bias Detection (Coursera)

Data Science

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
Artificial Intelligence Machine Learning Data Science
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