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Sa茂d Business School, University of Oxford
AI Fundamentals in Financial Services

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Sa茂d Business School, University of Oxford

AI Fundamentals in Financial Services

Martin Schmalz

Instructor: Martin Schmalz

2,010 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.7

(18 reviews)

Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(18 reviews)

Beginner level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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.

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Recently updated!

June 2025

Assessments

4 assignments鹿

AI Graded see disclaimer
Taught in English

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This course is part of the AI in Financial Services: Foundations through future trends Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

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鈥檒l 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鈥檒l 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鈥檒l consolidate your learning and apply your knowledge through a peer-reviewed written assignment. You鈥檒l 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

Martin Schmalz
Sa茂d Business School, University of Oxford
1 Course2,010 learners

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