Generative AI in Accounting Real-World Examples, Hands-On Exercises and Teaching Resources
Generative AI in Accounting: Real-World Examples, Hands-on Exercises, and Teaching Resources
To receive CPE credit, you will need to answer quiz questions throughout the webinar presentation, for which you will get feedback. At the end of the module, you will need to answer an 8 question post exam with a passing grade of 70% to receive CPE credit.

In completing and passing the final exam you will receive a certificate of completion by email.

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2). Under My Education Credits click on each Field of Study per Meeting, and will be able to view, download and print each certificate for your records.

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Course Title: Generative AI in Accounting: Real-World Examples, Hands-on Exercises, and Teaching Resources

n this session, we will focus on how we can enhance students’ understanding of how AI transforms accounting tasks, from automating processes to generating insights. Participants will receive access to ready-to-use materials that address introductory accounting topics, such as cash flow reporting, financial statement preparation, product costing, and budgeting. These materials are designed to complement existing course content in the introductory classes while introducing students to accounting applications of generative AI.

Moderator: Markus Ahrens, AAA

Panelists:
Speaker: Wendy Tietz, Kent State University
Speaker: Tracie Miller, Franklin University


Learning Objectives:
Upon completion of this course, participants will be able to:

1. Identify real-world applications of generative AI across accounting disciplines.

2. Distinguish between accurate and flawed AI-generated accounting outputs.

3. Select instructional strategies that promote AI literacy, ethical awareness, and professional skepticism.

Field of Study: Information Technology

Program Level: Basic

Prerequisites: None required

Delivery Method: QAS Self-Study

CPE Credits: 1.6 CPE
Summary
Availability:
On-Demand
Cost:
FREE
Credit Offered:
1.6 CPE Credits
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