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