From AI Fundamentals to Practical Applications, Auditing AI, and Ethics
Get a certificate the moment you finish.
Get a certificate the moment you finish.
You already know what you need to do. The bundle collapses every step into one purchase.
Structured around your CPD requirements.
Most providers issue you a stack of 4 separate PDFs. We issue one consolidated certificate that lists every topic, hours per topic, and totals — exactly what your professional body needs to file. Per-course certificates are still available if you prefer.
Each course is a standalone module.
From AI Fundamentals to Practical Applications, Auditing AI, and Ethics
Artificial intelligence is transforming how organizations operate, make decisions, and manage risks. For internal auditors, AI presents exciting opportunities to work more efficiently, but it also introduces new risks, challenges, and ethical considerations. This four-course series provides a practical introduction to AI, explores how auditors can incorporate AI into their work, examines the risks and internal controls associated with auditing AI, and addresses the ethical dilemmas that arise as AI becomes more widespread. Whether you are just getting started or looking to expand your AI knowledge, this series will help you navigate the changing landscape of AI in internal audit.
Start by demystifying artificial intelligence and exploring what it really means for internal auditors. This course introduces fundamental AI terminology, explains how AI technologies such as ChatGPT work, and examines how AI has evolved and is being used across organizations. Learners will explore real-world applications, common misconceptions, and important risks involving accuracy, privacy, bias, transparency, and security. The course also introduces the role of internal audit in an increasingly AI-driven environment.
As organizations increasingly adopt AI, internal auditors need to understand how to evaluate the associated risks and internal controls. This course explores the challenges of auditing AI, including governance, data quality, transparency, explainability, bias, privacy, and third-party risks. Learners will examine how traditional audit approaches can be adapted to AI systems, identify important areas of risk, and consider the internal controls and oversight needed to support responsible AI use. The emphasis is on helping auditors ask better questions and approach AI-related engagements with greater confidence.
AI isn't just something internal auditors need to audit. It's also a tool they can use to improve their own work! This course explores practical ways to incorporate generative AI into the audit process, from planning and risk assessments to fieldwork, analysis, and reporting. Learners will discover how AI can assist with brainstorming, organizing information, developing audit procedures, analyzing results, and improving written communications. The course also addresses effective prompting, evaluating AI-generated responses, and recognizing where human judgment and professional skepticism remain essential.
AI introduces ethical challenges that extend beyond traditional questions of right and wrong. This course examines the intersection of artificial intelligence, professional ethics, and organizational responsibility. Learners will explore issues such as algorithmic bias, fairness, privacy, accountability, transparency, and the consequences of relying on AI-generated information. Through practical examples and ethical dilemmas, participants will consider how AI challenges established ethical principles, the importance of human oversight, and the role internal auditors can play in encouraging responsible AI practices.
If it's not the right fit, you have 10 days to request a refund. Any certificates you earn remain valid.
14 CPD hours, one certificate, 10-day money-back.
