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 chapter 1, 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
Upon completion of chapter 2, you will be able to:
•    Identify key differences in traditional vs. AI-driven accounting software
•    Recognize examples of various types of AI accounting software
Upon completion of chapter 3, you will be able to:
•    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
Upon completion of chapter 4, you will be able to:
•    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

To complete this course participants need to: Read the material provided and answer chapter review questions, successfully complete the qualified assessment with a minimum of 70% accuracy to receive your certificate. 

A course evaluation form is provided for your feedback, upon course completion. Participants have 1 year from the date of purchase/enrollment to complete this course 

Our Refund policy can be found at: https://cpeprime.com/cancellation-and-refund/