Overview

A practical, jargon-free look at what AI means for finance, from fraud detection and risk to trading and client advice. Finance professionals learn what AI is, where it is transforming the sector, how to use today’s tools for real tasks, and how to use it responsibly in a regulated industry. Four short units.

Target Audience

Finance and accounting professionals, from analysts to leaders, in any commercial or regulated finance function. No technical background required.

Learning Objectives

Upon completion, learners will gain a full and clear understanding of:

• What AI is and isn’t, in plain language
• Where AI is transforming finance, from fraud detection to trading
• How to use today’s AI tools effectively for real finance tasks
• The specific risks of AI in a regulated sector
• How to use AI responsibly, with fairness, explainability and the rules in mind
• How to talk about AI confidently with colleagues, clients and regulators

Features and Benefits

• Written for complete beginners: practical, jargon-free and easy to follow.
• Current and fact-checked: researched against up-to-date 2026 sources, including the latest tools and regulation.
• Four short, focused units with gated progression; each unit unlocks once the previous one is passed.
• Light, formative interactions running through every unit (click-to-reveal, quick knowledge checks and estimate-and-reveal sliders), never scored.
• An end-of-unit quiz that finishes with a marking screen showing which answers were right or wrong, with a short explanation for each.
• Easy retakes: a failed quiz drops the learner straight back into freshly shuffled questions, with no need to click through the unit again.
• Optional audio narration on every screen (the learner chooses to listen), plus narrated motion-graphic video introductions, with captions throughout for accessibility.
• Responsive layout, suitable for PC, tablet and mobile.
• SCORM 1.2 conformant (single SCO); reports completion and an averaged score to any compliant LMS.

Course Contents

Unit 1: AI Foundations for Finance

• What AI is and why finance is one of its biggest proving grounds
• How AI learns from data and why data quality matters
• AI, automation and the quants
• What AI is good at and where it falls short

Unit 2: AI Across Finance

• Fraud detection, the flagship use
• Credit scoring, risk and algorithmic trading
• Robo-advisors, anti-money-laundering and compliance
• Document processing, customer service and insurance

Unit 3: Generative AI for Finance Tasks

• Drafting, summarising, analysing and explaining
• Prompting well and working with your own documents securely
• Getting current information and verifying it
• The limits to respect (not financial advice)

Unit 4: Using AI Responsibly in Finance

• Data privacy, confidentiality and approved tools
• Bias, fairness and explainability in decisions like lending
• Accountability and the rules (EU AI Act, UK FCA)
• Security, governance and a personal checklist