Overview

Artificial Intelligence (AI) is rapidly reshaping the financial services landscape. From fraud detection and algorithmic trading to customer service chatbots and credit scoring, AI is at the heart of a new era in finance. This course is designed to give you a clear, practical understanding of how AI works, what it enables, and how it’s transforming the way financial institutions operate. Through real-world examples, case studies, and engaging learning activities, you’ll gain insights into the key technologies that make AI possible, including machine learning, deep learning, and natural language processing, and see how they are applied across core functions in banking, fintech, and asset management. You’ll also explore how data drives these systems, the different learning methods AI uses, and the implications for strategy, governance, and ethics. Whether you’re a financial professional, policymaker, or simply curious about the future of finance, this course will equip you with the knowledge and confidence to engage in AI-related conversations and decision-making. No programming background is required, just an interest in how technology is shaping the future of financial services. By the end of the course, you will be able to: • Understand the foundational technologies that underpin Artificial Intelligence (AI), including Machine Learning, Natural Language Processing, and Deep Learning. • Explore the central role of data in powering AI systems, and the key learning methods used to train them. • Identify how AI is applied in financial services, including use cases such as fraud detection, credit scoring, customer service, and algorithmic trading. • Critically evaluate the risks, limitations, and ethical challenges associated with deploying AI in financial services. This course is the first in the AI in Financial Services: Foundations through Future Trends specialization. It provides the essential groundwork for understanding how AI works and why it matters in finance. After completing this course, we recommend continuing with 'Designing the Future of Finance' and 'Open Data and Intelligent Finance' courses to explore how AI intersects with Open Finance, embedded systems, and intelligent, ethical financial innovation.

Syllabus

Fundamentals of AI

This module provides a foundational introduction to Artificial Intelligence and its transformative role in financial services. It also offers an overview of the course structure, highlighting key topics and how each module will build your understanding. You'll explore key AI technologies: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, and Expert Systems. These insights will prepare you to recognise how AI is reshaping financial operations, services, and decision-making processes.

Data and AI Learning Methods

This module explores the vital role of data in Artificial Intelligence and the different learning methods that AI systems use to generate insights and predictions. You’ll examine key data types, the characteristics of big data, and the core machine learning paradigms used in financial applications.

Applying AI in financial services

This module demonstrates how AI is applied across four core areas of financial services: fraud detection, credit scoring, customer service, and algorithmic trading. You’ll explore real-world use cases to understand how AI adds value, the models and data behind it, and the challenges institutions face when deploying these technologies.

Review, reflect, and demonstrate your learning

In this final module, you’ll consolidate your learning and apply your knowledge through a peer-reviewed written assignment. You’ll reflect on key concepts, revisit course highlights, and explore the real-world implications of AI in financial services.