AI in Finance Specialisation
Build the capabilities to lead AI in your institution
A practitioner-level programme for finance professionals applying AI in risk, operations, strategy, and decision-making. Not an introduction. A structured capability build.
Designed for: Risk managers, operations leads, strategy professionals, investment and wealth managers, compliance officers, and digital transformation leaders in financial services.
Enrol Immediately
6 Expert-led courses including GenAI and Agentic AI
100% online, self-paced
72+ industry expert interviews
CFTE Certificate, CPD & IBF accredited
Trusted by professionals from leading financial institutions.
Who this programme is built for
This programme is for professionals who are already operating inside financial institutions and need to move from AI awareness to AI capability. Each role type below reflects how the curriculum is directly applicable to day-to-day decisions and responsibilities.
Capability outcomes, not topic coverage
Evaluate AI systems with the confidence to challenge vendors and internal teams
Apply AI frameworks to your specific function in risk, operations, or strategy
Build and communicate the internal case for AI adoption
Navigate the governance and ethics constraints that make or break AI projects in finance
Work with Generative AI and Agentic AI as a practitioner, not just a spectator
Contribute to your organisation’s AI strategy with credibility and context
Why this specialisation stands out
A practitioner-level programme for finance professionals who need real institutional context, not generic AI theory.
Learn directly from industry practitioners
Learn from senior experts from institutions such as Citi, UBS, PwC and more.
Built around real institutional use cases
Draw on 25+ real case studies from organisations already applying AI in finance.
Structured for practical application
Build fluency in AI strategy, governance, operations, and financial use cases.
Earn a recognised credential
Receive a CFTE accredited certificate on successful completion.
What you will be able to do
These are the professional capabilities you will have built by the end of the programme.
Understand AI, Machine Learning, Deep Learning, and Natural Language Processing and their real-world applications in finance.
Use AI-driven fraud detection, regulatory compliance, and anomaly detection to enhance security and trust.
Learn how machine learning, NLP, and recommendation engines optimise investment decisions and market predictions.
Understand how you can can implement AI for alternative credit scoring, wealth management, and robo-advisory to enhance financial services.
Gain hands-on experience in integrating AI into banking, payments, insurance, digital transformation projects, and be the one to drive adoption in your organisation.
Study 25+ case studies from fintech innovators, banks, and AI-driven firms to understand the future of AI in finance.
Learn directly from practitioners inside leading institutions
Huy Nguyen Trieu
Co-Founder at CFTE
Tan Ching Ching
Director of the Sandbox, Ngee Ann Polytechnic Specialisation Programme Director
Ayesha Khanna
CEO at ADDO.AI
Philip Watson
Chief Innovation Officer at Citi Private Bank
Stephan Murer
Former Global Chief Technology Officer at UBS
Winnie Cheng
Director AI Lab at PwC
Jon-Tzen Ng
General Manager, Technology & Innovation at New World Group
Six courses built around institutional application
Six courses built for finance professionals applying AI in risk, operations, strategy, and decision-making
What is AI? The first course defines and describes the impact of AI inside and outside of Finance, going through examples, analysing the causes, demystifying some concepts such as AI models and neural networks, and sharing a framework for finance innovation.
- Module 1: Introduction to Artificial Intelligence
- Module 2: Use Cases of AI Outside of Finance
- Module 3: Use Cases of AI in Finance
- Module 4: Industry Drivers of AI in Finance
- Module 5: AI Trends and Future Developments
This course will give you an overview of the taxonomies of AI, machine learning and deep learning. We will explore the mechanism needed to design and build an AI system, including data preparation and the modelling process.
- Module 1: AI, Machine Learning and Deep Learning
- Module 2: Building AI: Data, Models & Training
- Module 3: Natural Language Processing (NLP)
- Module 4: Recommendation Engines
This course will discuss the implementation of AI in an enterprise. Initially, a strategic framework for AI implementation will be outlined with a particular focus on how technologies can be accessed by financial institutions. Following this, numerous infrastructure requirements to implement AI will be discussed. A deep dive into two key areas will then be investigated: The role of people in an AI-enabled world, risk assessment & ethical considerations of AI implementation.
- Module 1: Integration of AI at a Strategic Level
- Module 2: Infrastructure for AI
- Module 3: The Role of People
- Module 4: Ethics and Risks
This course will highlight key applications of AI in finance. This course will be longer than the other courses in the specialisation, each of the modules will focus on a single application area and will provide detailed insight into how each application creates value in financial services and highlighting the industry participants who are leading the implementation.
- Module 1: Wealth and Asset Management
- Module 2: Insurance
- Module 3: Customer Services
- Module 4: Robotic Process Automation
- Module 5: Credit Scoring
- Module 6: Compliance and Fraud Detection
This short overview course explores how generative AI is transforming the financial services industry. It begins by introducing the foundations of generative AI in finance, before examining the importance of data quality, effective prompting, and maintaining accuracy in AI-driven outputs. The course then looks at how generative AI can be applied across different financial functions, and considers the responsible and ethical use of these technologies in practice. Finally, it reflects on how generative AI is reshaping the future of work in finance and the skills professionals will need to adapt.
- Day 1: Introduction to Generative AI in Finance
- Day 2: Data, Prompts, and Accuracy
- Day 3: Applications Across Financial Functions
- Day 4: Responsible and Ethical AI in Finance
- Day 5: The Future of Work in Finance with GenAI
This short overview course introduces agentic AI, systems that plan, take actions, and work across tools to complete tasks, and its implications for financial services. You’ll learn how agents differ from traditional LLM use, where they fit in real workflows such as onboarding, compliance, and research, and how to design and supervise them. We cover architecture, orchestration frameworks, and prompt workflows; then move to governance, risk, and human-in-the-loop controls before ending with strategy, operating model shifts, and workforce transformation.
- Day 1: Foundations of Agentic AI
- Day 2: Agentic AI in Financial Workflows
- Day 3: Building a Financial AI Agent
- Day 4: Risks, Governance & Human-in-the-Loop
- Day 5: Strategy & the Future of Agentic AI in Finance
Who this programme is built for
This programme is for professionals who are already operating inside financial institutions and need to move from AI awareness to AI capability.
Risk and Compliance Professionals
Operations and Technology Leaders
Investment and Wealth Managers
Strategy and Innovation Leaders
Credit and Lending Specialists
Digital Transformation Professionals
Gain a future-proof career edge by mastering how AI is reshaping banking, payments, insurance, and wealth management.
Learn from real-world case studies and expert insights, building practical knowledge that makes your CV stand out.
Access a global alumni community, opening doors to internships, mentorship, and job opportunities worldwide.
Explore AI’s role in shaping jobs of the future, preparing you for the skills employers will demand most
Develop a comprehensive understanding of AI applications in finance, from fraud detection to wealth management, compliance, and customer service.
Build confidence in AI concepts, tools, and use cases, enabling you to collaborate effectively with data scientists, fintechs, and regulators.
Position yourself as a driver of digital transformation within your organisation by understanding how AI can cut costs, improve efficiency, and unlock new opportunities
Earn a globally recognised certificate to demonstrate your expertise and commitment to innovation.
Discover proven AI use cases in payments, lending, insurance, and wealth management that can inspire and validate your product roadmap
Learn from global industry leaders and case studies, helping you anticipate customer needs and design scalable fintech solutions.
Navigate regulatory landscapes by understanding how AI is supervised in finance and the ethical considerations of deploying it.
Programme Details
Start date
Immediately
Tuition
£600 or 3 x £200
Format
100% online, self-paced
Duration
6 months access
Certificate
CPD & IBF Accredited
An accredited certificate that reflects genuine competency
On successful completion, you receive a CFTE Certificate in AI in Finance. The certificate is digital, shareable, and embeds directly into your LinkedIn profile. It is recognised across the financial services industry and is part of a qualification framework used by institutions including Citi, Prudential, and Standard Chartered for professional development programmes.
Invest in a capability that compounds
Pay in Full
- (excluding 20% VAT)
Practical, job-relevant AI learning - 72+ Industry-expert interviews
- 25+ Case Studies from innovative companies
- Lifetime access to our global community
- Accredited & Industry recognised certificate for AI in Finance
Pay in 3 Instalments
- £200/month (3 payments)
Practical, job-relevant AI learning - 72+ Industry-expert interviews
- 25+ Case Studies from innovative companies
- Lifetime access to our global community
- Accredited & Industry recognised certificate for AI in Finance
Bundle: AI in Finance + GenAI 360
- 5 courses and 24+ hours of expert content
- Includes all content from courses:
• AI in Finance Specialisation
• Generative AI 360 for Financial Services
Get your employer to sponsor you
Looking for a team or organisational enrolment? We work with financial institutions on custom cohort enrolments, group pricing, and bespoke in-house delivery. For employer sponsorship, we can generate an invoice directly.
Mode of payment
We accept all major credit cards and debit cards. We also accept Klarna via Stripe
Get reimbursed by your employer
Speak to your manager about the course, and get a reimbursement. Use this template
Installments
You can choose to pay the full amount, or you can opt for a 3-part plan
Everything you need to make the decision
The full programme brochure includes the complete curriculum, faculty profiles, institutional case study list, accreditation details, and guidance on employer sponsorship. Download it before or after your enrolment decision.
FAQ
Before you enrol
This programme is designed for professionals who want to build practical AI capability in a financial services context. It is particularly relevant for those working in risk, operations, strategy, compliance, transformation, investment, wealth, and related functions. It is suited to professionals who want to understand how AI is being applied inside financial institutions and how to evaluate, apply, or support AI adoption in their own role. It is not a coding or data science course.
The AI in Finance Specialisation is designed specifically for professionals who want a structured, applied understanding of how AI is reshaping financial services. Rather than focusing only on theory or general AI concepts, the programme brings together finance-specific use cases, practical frameworks, and perspectives from practitioners across financial institutions, startups, investors, and regulators. It is built to help participants understand where AI is being applied, what opportunities and risks matter most, and how to make better decisions about adoption in a financial services environment.
This programme is designed to help you build a structured, practical understanding of how AI is applied across financial services. By the end of the programme, you should be able to understand the main AI concepts most relevant to finance, evaluate common use cases across different functions, ask better questions about implementation and governance, and assess the opportunities, limitations, and risks of AI adoption in your organisation. The programme is non-technical in approach and focuses on helping professionals apply what they learn in a real financial services context.
A Specialisation is a bundled learning pathway made up of multiple short courses focused on one overarching topic. It is designed for learners who want a broader and more structured understanding of a subject rather than a single-topic introduction. If you already have experience in this area or only want to focus on one specific part of the topic, you may prefer to enrol in an individual course instead. If you are unsure which option is right for you, feel free to contact us.
There are no formal prerequisites for joining the programme. However, it is best suited to professionals who already have some familiarity with financial services and an interest in how AI is changing the industry. The programme is non-technical and does not require coding experience, but participants will get the most value if they are already exposed to digital, innovation, or AI-related change in a finance context.
You will have access to the programme for 6 months from the date of enrolment. This gives you the flexibility to complete the learning at your own pace while keeping momentum. If you need additional time, please contact us to discuss your options.
Yes. You will receive a digital certificate upon successful completion of the programme. The certificate can be shared online and added to your professional profile.
We accept all major credit and debit cards. You can either pay in full or choose a 3-part payment plan, with the first payment made at enrolment and the remaining two payments made during the course. If you would like to discuss the payment options, please contact us.
