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Learner Reviews & Feedback for AI Fundamentals in Financial Services by Saïd Business School, University of Oxford

4.7
stars
50 ratings

About the Course

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....

Top reviews

AN

Jan 4, 2026

Very good introduction for AI in Financial services. Excellent way of teaching and quizzes

NE

Dec 6, 2025

I really enjoyed this course, interesting yet knowledgeable

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1 - 14 of 14 Reviews for AI Fundamentals in Financial Services

By Aidanek U

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Jul 14, 2025

Very good into to AI in fin services, but most of the reading are repetitive.

By Abhinav L

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Jun 21, 2025

I found the written assignment useful in that you researched AI in financial services, and were encouraged to use a LLM to complete the assignment.

By Aniket N

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Jan 5, 2026

Very good introduction for AI in Financial services. Excellent way of teaching and quizzes

By N. E

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Dec 6, 2025

I really enjoyed this course, interesting yet knowledgeable

By GONZALO V L

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Oct 5, 2025

PERFECTAMENTE ESTRUCTURADO Y MUY SENCILLO DE SEGUIR

By Monica E C M

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Aug 18, 2025

Excelente contenido y muy actual

By Jonatan G

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Sep 30, 2025

Useful & Practical.

By Sourav C

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Aug 1, 2025

Excellent course

By MOTVANI S K

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Dec 20, 2025

very useful

By mag g

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Aug 14, 2025

Excellent

By SAIF S

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Jul 13, 2025

AWESOME

By Sonja J

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Oct 22, 2025

Very Important information shared. However the number of modules could have been less with similar impact.

By ZAID B K

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Nov 22, 2025

Amazing learning

By Jhan M M

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Sep 27, 2025

The course offers interesting and up-to-date content. However, I would have preferred longer, more in-depth video lectures, as the majority (around 80%) of the material was presented as reading assignments. Additionally, incorporating practical examples directly within the video lessons would enhance understanding. I also found the video content to be below expectations improving this would lead to a better learning experience.