AI & Accounting - What You Need to Know

Course Overview:
This course provides an overview of Artificial Intelligence (AI) in accounting.  This course includes a detailed discussion of key AI concepts as well as its use in data analysis and reporting.  This course also provides an overview of how organizations can implement AI solutions as well as the factors to consider when implementing these software solutions.  This course concludes with a discussion of the common challenges and barriers to AI adoption.  

Learning Objectives:

    Upon completion of this course you will be able to:
    Identify key concepts related to AI
    Recognize subsets of machine learning
    Identify key characteristics of deep learning
    Recognize how AI can be used in the accounting profession
    Identify key differences in traditional vs. AI-driven accounting software
    Recognize examples of various types of AI accounting software
    Identify AI tools like OCR and NLP for data extraction
    Recognize AI algorithms for data cleansing
    Identify data normalization and AI techniques
    Identify AI-driven forecasting techniques for accurate predictions
    Recognize readiness factors for AI adoption in organizations
    Identify steps for integrating AI into existing processes and workflows
    Recognize the importance of training and upskilling employees
    Identify common challenges and strategies for AI adoption in organizations

Revision Date: 3/27/24

Additional Contents : Complete, no additional material needed
Advance Preparation : None
Intended Participants : Any CPA looking to maintain or enhance their professional competence
Course Declaration : Participants must complete the final examination within one year of purchase. A minimum passing grade of 70% or better is required to receive CPE
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