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Artificial Intelligence Fundamentals for Accounting Professionals

Artificial Intelligence Fundamentals for Accounting Professionals

$39.95$39.95
  • SKU : AI1001
  • OUR PRICE :$39.95
  • CREDIT HOURS : 2

Artificial Intelligence Fundamentals for Accounting Professionals


Course Overview:

Artificial Intelligence (AI) is reshaping the accounting profession by transforming how financial data is processed, analyzed, and interpreted. No longer limited to automation of routine tasks, AI enables accounting professionals to perform full-population analysis, continuous monitoring, predictive modeling, and advanced risk assessment across audit, tax, financial reporting, and fraud detection functions.
This course provides a comprehensive and technically grounded foundation in artificial intelligence tailored specifically for accounting professionals. It integrates core AI technologies—including machine learning, natural language processing, robotic process automation (RPA), and predictive analytics—with real-world accounting applications and governance considerations. Participants will gain a deep understanding of how AI systems function, how they are implemented within accounting environments, and how their outputs must be evaluated to ensure accuracy, reliability, and compliance.
The course emphasizes the intersection of AI with professional standards and regulatory frameworks established by organizations such as the American Institute of Certified Public Accountants (AICPA), Public Company Accounting Oversight Board (PCAOB), and Financial Accounting Standards Board (FASB). Particular focus is placed on internal controls, risk management, ethical considerations, and the responsibilities of accounting professionals in overseeing AI-enabled systems.
Through detailed technical modules, participants will explore how AI is applied across accounting functions, how implementation strategies vary across firm sizes and industries, and how governance structures must evolve to address emerging risks. The course also incorporates in-depth case studies in audit analytics, tax planning, and fraud detection, allowing participants to apply concepts in practical, scenario-based contexts that reflect real-world challenges.
By the end of this course, participants will possess both a conceptual and operational understanding of AI in accounting, enabling them to evaluate AI tools, interpret outputs with professional skepticism, and contribute to the responsible and effective integration of AI within their organizations.

 

Learning Objectives:

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

1. Define artificial intelligence and differentiate it from traditional rule-based accounting systems, including an understanding of probabilistic versus deterministic outputs
2. Identify and explain core AI technologies—machine learning, natural language processing (NLP), robotic process automation (RPA), and predictive analytics—and evaluate their relevance to accounting applications
3. Analyze how AI is applied across key accounting functions, including audit, tax, financial reporting, and fraud detection, with an emphasis on full-population analysis and continuous monitoring
4. Evaluate the impact of AI on internal control frameworks, including the application of the Committee of Sponsoring Organizations of the Treadway Commission (COSO) principles in AI-enabled environments
5. Assess model risk, data integrity risk, and system-level risks associated with AI, and determine appropriate control activities and governance mechanisms to mitigate those risks
6. Interpret AI-generated outputs using structured evaluation techniques, including input validation, reasonableness testing, sensitivity analysis, and corroboration with independent evidence
7. Apply professional skepticism and judgment when reviewing AI outputs, including identifying and mitigating automation bias and evaluating the sufficiency of AI-generated audit evidence
8. Evaluate ethical considerations associated with AI adoption, including bias, transparency, accountability, and confidentiality, in accordance with the American Institute of Certified Public Accountants Code of Professional Conduct
9. Analyze regulatory and standard-setting implications of AI use in accounting, including compliance with guidance from the Financial Accounting Standards Board and the Public Company Accounting Oversight Board
10. Assess implementation strategies for AI in accounting environments, including data readiness, system integration, model validation, change management, and ongoing monitoring
11. Evaluate how AI adoption varies across firm sizes, industries, and operational models, and determine the implications for risk, control design, and governance
12. Apply AI concepts to real-world accounting scenarios through case-based analysis in audit analytics, tax planning, and fraud detection, demonstrating the ability to identify risks, evaluate outputs, and recommend appropriate professional actions

 
Course Number:
AI1001
NASBA Field of Study:
Information Technology
Level:                   
Based
Author/Instructor:
CPE Solutions, LLC
Publication Date:
March 2026
CPE Credits:
2
Prerequisites:
None
Advanced Preparation: 
None

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