Overview
A 5-week online course from the Cambridge Centre for Alternative Finance (CCAF), Cambridge Judge Business School, designed to equip regulators, supervisors and policymakers with the practical skills and strategic understanding required to oversee AI in financial services and responsibly apply AI within public institutions.
Next cohort: April 2026
Duration: 5 weeks
Language: English
Time commitment: 5-6 hours per week, self-paced online
Explore the course
Overview
This course is informed by the AI in Financial Services 2030 global research initiative, conducted in collaboration with the Bank for International Settlements, World Bank, International Monetary Fund, World Economic Forum, Inter-American Development Bank, CGAP, and a broad network of research and ecosystem partners.
AI is transforming financial services, risk management, supervision, and policy at a pace that challenges traditional regulatory capacity. Authorities require new skills, frameworks, and tools to understand, assess, and govern AI applications while enabling innovation, stability, consumer protection, and inclusion.
Delivery format
- 5 weekly modules delivered online.
- Live expert lectures.
- Small-group tutorials and case exercises.
- Capstone project and structured feedback.
- 3 months of additional digital resource access.
- Time commitment: approximately 5 to 6 hours per week.
- Format designed for working public-sector leaders.
- No technical background required.
What the course covers
- Week 1: Foundations and evolution of AI in financial services.
Understanding core AI concepts, system types, and the trajectory of financial sector adoption and regulatory relevance. - Week 2: Technical understanding for non-technical regulators.
Demystifying how AI systems work, including data pipelines, model development, evaluation, deployment, and assurance practices. - Week 3: Internal applications for financial authorities.
Practical use of AI within regulatory and supervisory agencies across supervision, enforcement, policy, macro-prudential analysis, and operations. - Week 4: AI in supervised financial institutions and markets.
How financial institutions deploy AI across sectors, and the supervisory implications for market integrity, consumer protection, prudential oversight, and competition. - Week 5: AI risk, governance, and regulatory approaches.
Frameworks to manage model, data, operational, and systemic risks, plus comparative global governance and policy approaches. - Capstone.
Design a practical AI initiative for your institution and jurisdiction.
Benefits
This program combines rigorous academic insight with practical regulatory experience and real-world case learning. Participants gain structured learning, access to expert faculty, and engagement with peers across global jurisdictions.
Participants will:
- understand foundational and emerging AI techniques, including agentic systems
- gain confidence to interrogate, assess, and supervise AI systems and vendors
- learn how AI and data tools can support supervisory and policy functions
- explore AI use cases across banking, payments, insurance, markets, and fintech
- apply risk, governance, transparency, and accountability frameworks
- develop a practical institutional AI initiative as a capstone
- access global peer learning and regulatory knowledge resources
- certificate of Completion issued by Cambridge Judge Business School Executive Education upon successful completion and presentation of the capstone project
Who should attend
Senior officials and technical teams across:
- central banks
- financial supervisory authorities
- securities and market regulators
- ministries of finance and digital economy
- data, analytics, IT and innovation units
Suitable for both technical and non-technical participants.
Academic insight
Delivered by CCAF faculty and senior policy and supervisory experts as well as top AI technical experts with contributions from international institutions and leading practitioners.
Register your interest
Register interest in joining our cohort in April 2026.