This course explores the significant impact of generative AI (GenAI) and large language models (LLMs) on the financial sector. It is designed for finance professionals, decision-makers, and anyone new to AI in financial services who wants to understand how these technologies are changing the industry. Participants will learn practical prompt engineering techniques to optimize AI for various financial tasks and examine real-world applications in areas like portfolio management, risk assessment, and predictive analytics. The course also covers the essential regulatory and ethical considerations for AI in finance, including compliance, data privacy, and implementing ethical AI practices, with insights from a legal expert on its implications for financial regulations.
The course is structured into four sessions, covering foundational concepts, practical application, ethical considerations, and future perspectives of AI in finance.
This course is designed to equip finance professionals, decision-makers, and those new to AI with the skills to leverage AI technologies for innovation, operational efficiency, and compliance within their organizations.
Additional costs not included are travel to and from Oxford, fieldwork expenses, and for international students, visa and immigration health surcharge costs. The immigration health surcharge is paid upfront for the entire duration of your course and any additional visa validity.
The standard course fee is £685.00. A discount package for this course combined with two other specified courses is available for £1835.00.
Estimated annual living costs for a single student range from £17,100 to £24,420, covering food, accommodation, personal items, social activities, and study costs.
This is a one-day course.
You can apply by clicking the 'Book now' button on the course webpage and completing the online registration with payment by credit or debit card.
Registration closes at 1:00 PM (UK time) on 22 May 2026, or when the course is fully booked.
This course is introductory and suitable for finance professionals, decision-makers in financial organizations, and individuals interested in AI and financial services.