This assignment introduces students to multi-agent systems (MAS), showing how multiple artificial intelligence (AI) agents can work together to solve problems. Students will explore different types of agents, understand their roles, and build hands-on workflows using the low-code tool MindStudio. By...

In this assignment, you will examine two mindsets for engaging with artificial intelligence (AI): the passive, transactional mindset, and the active, transformational mindset. The assignment provides a framework for understanding how to move beyond simply using AI as a shortcut and instead create a...

In this assignment, you’ll build on the foundations learned in the EYARC Experience Prompt engineering 1 assignment. You’ll learn advanced prompting techniques, explore how to prompt reasoning models, and create effective system prompts. You’ll also get hands-on practice evaluating generative AI (Ge...

This assignment introduces learners to essential computer literacy skills, focusing on file management and productivity concepts that form the foundation of digital literacy. Designed for both Windows and Mac users, the assignment helps learners build confidence to navigate file systems, organize th...

In this assignment, you will explore a new way of coding called vibe coding — a method that uses generative AI (GenAI) powered tools to help you generate, test and deploy code based on natural language prompts. You don’t need to be a programmer to get started. Throughout this assignment, you’ll prac...

In this assignment, students will explore the concept of AI agents. They will learn that while AI agents are not a new concept, they have attracted renewed attention with the emergence of large language models (LLMs). Students will then be introduced to multi-agent systems, in which multiple AI agen...

This assignment provides an in-depth look at AI ethics, focusing on key principles and the ethical challenges professionals encounter as AI reshapes industries and society. As students explore these principles, they'll have the opportunity to apply them to real-world scenarios, helping them think cr...

In this assignment, you will explore the risks associated with the emergence of generative AI (GenAI) and how to address these risks using the GenAI Governance Framework and Maturity Model available at genai.global. This framework outlines procedures in five domains of AI management spanning opera...

Generative AI is reshaping every facet of business, causing great need for ethical leadership. This case helps equip students with the critical thinking skills and ethical frameworks necessary to navigate the ethical business complexities introduced by generative AI. This four-part case introduces s...

TechHub.training is an online resource built by BYU students and faculty. Its mission is to inspire learning in an online forum where students, teachers, and data experts develop, hone, and share expertise in important business technologies. The website is built around challenges in core business t...

This two-part case guides students through the exploration of generative AI technology while emphasizing the importance of using it ethically. The case has students complete a critical analysis of generative AI’s potential uses in various accounting domains and consider strategies for its ethical im...

This case can focus on generative AI and Alteryx as technologies, but the primary focus is the critical thinking involved in thinking about fraudulent data. In Part 1, students take on the role of the client and generate a fake data set. In Part 2, students are asked to design audit tests to determi...