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.



AI Fundamentals in Financial Services
This course is part of AI in Financial Services: Foundations through future trends Specialization

Instructor: Martin Schmalz
Included with
Recommended experience
What you'll learn
Understand the core technologies behind AI and the central role of data in training AI systems.
Explore how AI is applied in financial services through use cases such as fraud detection, credit scoring, customer service, and algorithmic trading.
Critically assess the risks, limitations, and ethical considerations involved in using AI within the financial sector.
Skills you'll gain
- Natural Language Processing
- Data Ethics
- Big Data
- Artificial Intelligence and Machine Learning (AI/ML)
- Financial Regulation
- Customer Service
- Applied Machine Learning
- Unsupervised Learning
- FinTech
- Deep Learning
- Financial Services
- Artificial Intelligence
- Banking
- Financial Trading
- Strategic Decision-Making
- Machine Learning
- Reinforcement Learning
Details to know

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June 2025
4 assignments
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There are 4 modules in this course
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.
What's included
4 videos6 readings1 assignment4 plugins
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.
What's included
6 videos9 readings1 assignment4 plugins
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.
What's included
5 videos9 readings1 assignment4 plugins
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.
What's included
1 video4 readings1 assignment1 peer review
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Instructor

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Saïd Business School, University of Oxford
Saïd Business School, University of Oxford
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