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Course Outline

AI in the FinTech Landscape

  • The evolution of FinTech: shifting from digitization to intelligence
  • Where AI generates value: personalization, automation, and fraud detection
  • Case studies featuring challenger banks and AI-first platforms

Open Banking and API Infrastructure

  • PSD2, Open Finance, and global Open Banking frameworks
  • APIs for account aggregation, payments, and data services
  • Constructing and testing API integrations using Postman

Machine Learning for FinTech Innovation

  • Supervised and unsupervised ML applications for credit, KYC, and recommendation engines
  • Key data sources in FinTech: transaction streams and behavioral data
  • Architecting low-latency ML pipelines for real-time decision-making

Conversational AI and Embedded Finance

  • Deploying LLMs and chatbots for digital advisory and support
  • Voice assistants and natural language interfaces
  • AI integration in embedded lending, insurance, and savings products

RegTech, Ethics, and Compliance

  • Applying AI to identity verification and AML monitoring
  • Addressing fairness, bias, and explainability in financial AI systems
  • Ethical implications of data usage and automation

Prototyping AI-Enhanced FinTech Products

  • Rapid prototyping tools and FinTech sandboxes
  • Mapping user journeys and enhancing value with AI features
  • Design thinking for responsible and inclusive finance

Future of AI and Open Finance

  • Emerging trends in autonomous finance and predictive banking
  • AI governance and shifting regulatory landscapes
  • Strategic planning for AI-first product roadmaps

Summary and Next Steps

Requirements

  • Foundational knowledge of financial products and digital platforms
  • Background in data-driven product design or development
  • A keen interest in API-based architectures and AI applications

Target Audience

  • Product managers
  • FinTech founders
  • Strategy leaders
 14 Hours

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