Built for digital finance. Enhanced by AI.
AI is already changing how financial organisations assess risk, detect fraud, price products, personalise services and make credit and investment decisions. But better automation does not automatically mean better financial decisions — fairness, explainability, consumer protection, model risk and human accountability still matter. AI can change the financial decision. You still need to know whether it should.
Evaluate AI in fraud detection, identity verification and financial-crime prevention.
Assess AI-supported credit, lending, payments and wealth applications.
Design fairness, explainability and governance for financial AI.
Build capability you can use in practice.
By completing the full progression — through to Black Belt — you'll develop the ability to:
One certification. Four levels of capability.
Start with the foundations and progress as far as your professional goals require.
Where could AI change the way you work?
The full range of applications below reflects capability developed across the complete progression to Black Belt.
Identify suspicious patterns and prioritise high-risk transactions.
Support identity verification, onboarding and financial-crime controls.
Improve transaction monitoring, entity resolution and investigation prioritisation.
Support underwriting, risk assessment and financial-inclusion models.
Improve routing, authorisation, fraud control and cross-border optimisation.
Turn consumer-permissioned data into more personalised financial services.
Support portfolio construction, risk profiling and investment workflows.
Assist with underwriting, claims handling, fraud detection and product design.
Automate parts of compliance monitoring and regulatory reporting.
Support more intelligent service, operations and product experiences.
For professionals shaping the next generation of financial services.
Demonstrate capability.
Don't just watch videos.
Each belt has scenario-based assessments that require you to apply your knowledge in realistic financial-services contexts.
Each belt answers a different question.
Assessment is applied and scenario-based — capability is demonstrated, not attended.
Overall indicative learning effort: approximately 120–165 hours across the full White-to-Black progression.
Start with White. Decide how far to go.
Each price is the fee for that single belt only — you pay per level, as you progress. All fees are in USD.
Pricing varies by country → View your fee
Not sure how far to go?
You don't need to decide today whether you'll complete all four belts.
Regardless of how you pay, every learner begins at White and earns each belt sequentially.
Built for work beyond the classroom.
“The product-evaluation framework changed how we assess AI vendors — we now ask for bias evidence before we ask for pricing.”
“It gave our compliance team a shared, practical language for model risk and explainability. Immediately useful in audits.”
“Accessible without a data-science background, and honest about where AI goes wrong in finance. The belts build real judgement.”
Illustrative testimonials — to be replaced with real learner feedback.
Take the certification guide with you.
Download the complete AI in FinTech & Digital Finance guide, including curriculum, learning outcomes, assessment, belt progression and fees.
Download Certification Guide (PDF)Certification-specific answers.
Financial services are changing.
Build the capability to change with them.
Start with the foundations and progress from understanding AI to evaluating, governing and ultimately leading its responsible use across digital finance.