I'm now a certified Payments Professional. If you are interested in payments and want to eventually take this certification- reach out to me.

Here are 15 #AI courses for the payments industry: 1. Coursera – AI Fundamentals for Financial Services (with University of Oxford ) Focus: Fraud detection, credit risk, and payment intelligence systems. 2. Coursera – IBM AI Engineering Professional Certificate (with IBM ) Focus: Transaction fraud and anomaly detection in card payments. 3. DataCamp – DataCamp Courses (Fraud / Anomaly Detection tracks vary) Focus: Anomaly detection in transaction datasets. 4. Duke University – FinTech & Machine Learning in Financial Markets Focus: Transaction data modelling and payment optimization. 5. edX – AI in Financial Services & Risk Analytics (with Columbia University ) Focus: Risk modelling and fraud prevention in financial transactions. 6. Imperial College London – FinTech: AI, Risk & Blockchain Focus: Payment innovation, fraud detection, and compliance systems. 7. Mastercard – Mastercard AI & Fraud Risk Training Academy Focus: Card fraud detection and network-level payment security. 8. Massachusetts Institute of Technology – Artificial Intelligence for Financial Services: Tools, Opportunities, and Challenges Focus: Payment rails, digital payments, and AI’s impact on fintech. 9. New York University (Stern School of Business) – FinTech & Analytics in Payments Systems Focus: Digital payments, fraud analytics, and AI-driven finance. 10. University of Oxford – FinTech Program (AI in Digital Payments) Focus: Payments infrastructure and AI-driven compliance.

Where Leaders in AI and Finance Come Together https://plaid.com/events/effects Blog | Plaid What to expect live online Opening keynote What's next for AI in finance and what Plaid’s launching to power it. Smarter cash advance decisions Plaid’s new way to spot repayment risk on cash advances. Modern fraud prevention Plaid Protect's latest model, built to catch more fraud, not real users Inside Plaid Income’s new engine Turning noisy deposit activity into reliable income signals with AI. Making bank payments reliable Better data and decisioning behind every transaction. Powering intelligent finance A look under the hood at the AI models behind Plaid. Bank intelligence for engagement How banks can use Plaid’s network to engage users and stop fraud. Breakouts & fireside chats Industry leaders on AI, trust, and what’s next.

Stripe CEO Patrick Collison opens the show before President of Product and Business Will Gaybrick takes you through the latest products designed for revenue growth. Learn more about up-and-coming technological development in the world of #fintech. https://stripe.com/sessions/2026?

Machine learning is no longer a future concept in fraud prevention — it’s actively reshaping how the payments industry detects risk, reduces false positives, and responds to evolving threats in real time. In this podcast, Machine Learning & Fraud: A Practitioner Perspective, industry experts share how machine learning is being applied today across the payments ecosystem. From predictive AI and real-time scoring to implementation challenges and governance considerations, this conversation offers a practical look at what’s working — and what’s ahead. In this episode, you’ll hear:• How machine learning enhances (not replaces) rules-based systems• The difference between predictive AI and generative AI in fraud prevention• How organizations are improving detection rates while reducing customer friction• Key challenges, including data integration, model governance, and explainability• What’s next: scams, deepfakes, and the future of fraud prevention Machine learning is quickly becoming a baseline capability for modern fraud defense — this episode breaks down what that means in practice. https://www.uspaymentsforum.org/machine-learning-and-fraud-a-practitioner-perspective