Generative AI 360 for Financial Services

Build applied literacy in generative AI for finance, from use cases and implementation to risk, regulation and organisational adoption.

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Duration

6 weeks (15 minutes per day)

Format

Online self-paced certification

Level

Beginner

Investment

£600 (includes 12 monthly live sessions)

What you will achieve

  • Understand how generative AI works and how it is being applied across financial services
  • Identify practical use cases in your institution across operations, risk, compliance and client services
  • Assess implementation considerations including regulation, responsible use and organisational change
  • Develop a more informed view of the opportunity and risk landscape for AI in finance
  • Build the AI literacy needed to engage confidently with strategy, governance and vendor decisions

About this programme

This programme is designed for finance professionals who need more than a general introduction to generative AI. It combines expert interviews, case studies and practical projects to explain how generative AI is being applied across financial services, where it can create value, and what organisations need to consider around implementation, regulation and responsible use. The structure moves from foundations and technology to current and future applications in finance, helping participants develop a more informed view of both opportunity and risk.

Curriculum

Generative AI Fundamentals
Week 1
The definition and evolution of Generative AI. How machine learning, deep learning and natural language processing work — and how they combine to power systems like ChatGPT and Bard. Why Generative AI represents a step-change from previous AI waves, and what that means for financial services professionals.
The Landscape of Generative AI
Week 2
The Generative AI ecosystem mapped end-to-end: infrastructure providers, foundation model developers, and application builders. Key players across each layer — from NVIDIA and Google DeepMind to specialist finance applications. How to read the competitive landscape and assess which players matter most to financial institutions.
Technologies of Generative AI
Week 3
The Transformer architecture — the breakthrough behind GPT, Bard and Claude. Pre-training and post-training: how large language models are built, fine-tuned and aligned. Prompt engineering, retrieval-augmented generation (RAG), and the emerging tech stack that finance teams need to understand to evaluate vendor claims and deployment approaches.
Current Applications in Finance
Week 4
How Generative AI is being used in financial services today. Applications across risk management, fraud detection, regulatory compliance, customer service, investment research and transaction monitoring. Case studies from Citi, JP Morgan, Goldman Sachs and others. How to evaluate which use cases are mature versus experimental.
Future Applications in Finance
Week 5
The untapped potential of Generative AI across financial services. Emerging use cases in wealth management, credit scoring, financial modelling, personalised banking and autonomous agents. How leading institutions are building roadmaps for AI adoption — and what participants can apply immediately in their own organisations.
Data, Risks and Regulation
Week 6
Privacy, data governance and ethics in the age of Generative AI. AI bias and fairness: how models inherit and amplify risks, and how institutions manage them. The regulatory landscape — GDPR, DORA, the EU AI Act — and what compliance teams need to know. How to build responsible AI practices that satisfy regulators without blocking innovation.

Experts

Yasmina Benkhoui
AI Expert, NVIDIA
Yasmina Benkhoui contributes practitioner insight to Generative AI 360 for Financial Services through experience as AI Expert at NVIDIA.
Shameek Kundu
Chief Data Officer, Truera
Shameek Kundu contributes practitioner insight across CFTE programmes through experience as Chief Data Officer at Truera.
Philip Watson
Managing Director, Google Cloud Financial Services
Philip Watson contributes practitioner insight across CFTE programmes through experience as Managing Director of Google Cloud Financial Services.
Petar Petrov
AI Expert
Petar Petrov contributes practitioner insight to Generative AI 360 for Financial Services through experience in applied AI.
Nikola Lazarov
AI Expert
Nikola Lazarov contributes practitioner insight to Generative AI 360 for Financial Services through experience in applied AI.
Mehdi Ghissassi
Director & Head of Product, Google DeepMind
Mehdi Ghissassi contributes practitioner insight to Generative AI 360 for Financial Services as Director and Head of Product at Google DeepMind.
Jérémie Cornet Vuckovic
AI Expert
Jérémie Cornet Vuckovic contributes practitioner insight to Generative AI 360 for Financial Services through experience in applied AI.
Jean-Philippe Desbiolles
VP AI, IBM
Jean-Philippe Desbiolles contributes practitioner insight across CFTE programmes through experience as VP AI at IBM.
Gilles Moyse
Co-founder, Privatics
Gilles Moyse contributes practitioner insight to Generative AI 360 for Financial Services through experience as co-founder of Privatics.
Dr. Prag Sharma
Global Head, AI Centre of Excellence, Citi
Dr. Prag Sharma contributes practitioner insight to Generative AI 360 for Financial Services as Global Head of the Artificial Intelligence Centre of Excellence at Citi.
Andrei Kirilenko
Professor of Finance, University of Cambridge
Andrei Kirilenko contributes practitioner insight to Fintech 360 Programme through experience as Professor of Finance at Cambridge University.
Alex Lheritier
Co-founder & CEO of Koaloo.Fi
Alex Lheritier contributes practitioner insight to Generative AI 360 for Financial Services through experience as Co-founder & CEO of Koaloo.Fi.
Huy Nguyen Trieu
Co-Founder & CEO, CFTE
Huy Nguyen Trieu is co-founder and CEO of CFTE. He has spent over two decades at the intersection of finance, technology, and capability building, working with leading institutions across Asia, Europe, and the Middle East.

Why this programme is credible

Generative AI 360 is used by thousands of professionals in financial services globally, from Tier 1 financial institutions to central banks and technology companies. It is accredited in Singapore by the Institute of Banking and Finance and by CPD.

FAQ

Can my organisation sponsor participation?

Yes. Many participants are sponsored by their employer. CFTE can support organisations with group enrolments, invoicing, and cohort arrangements. Contact CFTE to discuss your organisation's requirements.

How long will I have access to the programme?

Access duration varies by programme. Most CFTE online programmes offer extended or lifetime access once enrolled. Check the programme page for the specific access period.

Will I receive a certificate?

Yes. CFTE issues certificates of completion for its online programmes. The format and issuing process depend on the specific programme. Please refer to the programme page for details.

Do I need prior knowledge to join?

Many programmes are designed to be accessible without deep technical expertise, but expected starting knowledge differs by topic. Where prerequisites matter, they should be stated clearly on the programme page.

Who is this programme for?

CFTE programmes are generally designed for professionals, teams and decision-makers who want a practical understanding of technology-driven change in finance. The exact audience can vary by programme and should be confirmed against the programme page.

How is the programme delivered?

Most CFTE online programmes are designed for flexible online learning. Depending on the programme, delivery may be fully self-paced or may combine self-paced study with live elements. Always use the programme page as the source of truth for the final format.

Ready to take the next step?

Get in touch to discuss how this programme can be tailored to your organisation or career goals.

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