Artificial Intelligence in Accounting and Auditing
Machine Learning, NLP, RPA, and AI Governance for Accountants and Auditors
About This Course
Course Information
This course provides an overview of artificial intelligence and its applications in accounting and auditing. Learn about different AI techniques such as machine learning, natural language processing and robotic process automation. Discuss how AI can enhance and potentially transform areas such as financial reporting, auditing, tax compliance and fraud detection. Explore opportunities and challenges for leveraging AI in accounting and steps to ensure its responsible use.
Certificate on Completion
This course is made up of videos, questions and additional reading materials and accounts for 2 units of CPD . One unit is the equivalent of one hour of learning. A certificate will be issued once you have completed all 2 units. Each unit represents one hour of learning.
Course Sections
This CPD course is made up of the following sections:
- Introduction to Artificial Intelligence in Accounting and Auditing (Multiple Videos)
- Introduction to Artificial Intelligence in Accounting and Auditing (Quiz)
- Additional reading materials on Artificial Intelligence in Accounting and Auditing
- Course completion survey
- CPD Certificate issued once the course is completed
What You Will Learn
- Define artificial intelligence and distinguish between machine learning, natural language processing, and robotic process automation as applied in accounting
- Explain the difference between supervised and unsupervised machine learning, including how labelled financial data trains predictive models
- Describe how NLP tools perform sentiment analysis on financial reports and use topic modelling to flag recurring risks in audit documents
- Identify accounting processes suited to RPA, such as account reconciliations, payroll processing, and accounts payable, based on criteria like rule-based structure and high volume
- Assess the governance requirements for AI adoption, including transparency, accountability, explainability, and the risks of treating AI decisions as black boxes
- Evaluate the ethical considerations of AI in accounting, including data privacy, algorithmic bias, and the impact on accountant roles and responsibilities
- Recognise the practical barriers to AI adoption in accounting firms, such as data quality gaps, infrastructure costs, skills shortages, and organisational resistance
Who This Course Is For
- Accountants and auditors who want to understand how machine learning, NLP, and RPA apply to tasks like reconciliations, anomaly detection, and document analysis
- Finance professionals evaluating whether AI tools are appropriate for their firm, given current data quality and infrastructure
- Practice managers and partners responsible for AI governance, ethics policies, and managing staff through technology-driven change
- Accounting professionals looking to earn CPD credits while building foundational AI literacy relevant to their daily work
Prerequisites
- No prior knowledge of AI or programming is required. The course starts from first principles and builds up.
- A working understanding of standard accounting and auditing processes (reconciliations, financial reporting, audit procedures) will help you connect the AI applications to your own work.
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