Foundations of Artificial Intelligence (AI) in Accounting and Finance
About This Course
Stop letting fragmented Artificial Intelligence (AI) claims distract your finance team from real value. Accounting and finance professionals are under growing pressure to improve speed, quality, and control simultaneously, yet most AI training remains generic or tool-led.
This AI course offers a business-centred approach designed for domain experts with limited technical backgrounds. It translates complex concepts into clear, practical language, helping participants understand the strategic implications, risks, and adoption criteria before engaging with any tool.
It provides a rigorous foundation for AI in finance and accounting, equipping professionals to evaluate use cases, support decision-making and contribute to AI initiatives with confidence. As a foundational module with a broader Graduate Diploma in AI in Accounting pathway, it prepares participants for advanced topics such as Generative AI (GenAI), analytics, document intelligence and agentic AI.
What You'll Learn
- Explain core Artificial Intelligence (AI) concepts and terminology relevant to accounting and finance in clear business-friendly terms
- Differentiate between traditional automation, analytics, Generative AI (GenAI) and agentic systems at a foundation level
- Identify finance and accounting workflows that are suitable for AI augmentation or automation
- Assess representative finance use cases by weighing expected value, process fit, control impact and operational constraints
- Evaluate key risks associated with AI use in finance, including error risk, model limitations, confidentiality concerns and accountability gaps
- Apply practical governance and oversight principles to common AI-enabled finance and accounting scenarios
- Use a structured decision framework to prioritise early-stage AI opportunities in finance functions
- Understand how foundational AI concepts connect to more advanced applications in GenAI, analytics, document intelligence and agentic AI
Entry Requirements
There are no formal prerequisites for enrolment in this programme. As this programme is conducted in English, participants should be proficient in reading, writing, and communicating in English.