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 Duration 14 hours

Course Outline

AI within the FinTech Ecosystem

  • The evolution of FinTech: transitioning from digitization to intelligent systems
  • Key areas of AI value: personalization, process automation, and fraud detection
  • Real-world case studies from challenger banks and AI-centric platforms

Open Banking and API Architectures

  • Overview of PSD2, Open Finance, and global Open Banking standards
  • Leveraging APIs for account aggregation, payment processing, and data services
  • Developing and validating API integrations with Postman

Machine Learning for FinTech Advancement

  • Applying supervised and unsupervised ML to credit assessment, KYC, and recommendation engines
  • Identifying key data sources: transaction streams and behavioral analytics
  • Engineering low-latency ML pipelines for instantaneous decision-making

Conversational AI and Embedded Finance

  • Deploying LLMs and chatbots for digital advisory and customer support
  • Integrating voice assistants and natural language interfaces
  • Incorporating AI into embedded lending, insurance, and savings solutions

RegTech, Ethics, and Regulatory Compliance

  • Utilizing AI for identity verification and AML surveillance
  • Addressing fairness, bias, and explainability in financial AI models
  • Navigating ethical implications in data utilization and automation

Prototyping AI-Driven FinTech Solutions

  • Utilizing rapid prototyping tools and FinTech sandbox environments
  • Mapping user journeys and enhancing features through AI
  • Applying design thinking to foster responsible and inclusive finance

The Future of AI and Open Finance

  • Emerging trends in autonomous finance and predictive banking
  • AI governance and shifting regulatory frameworks
  • Formulating strategic roadmaps for AI-first products

Recap and Future Actions

Requirements

  • Foundational knowledge of financial products and digital ecosystems
  • Prior exposure to data-centric product design or development
  • Curiosity regarding API-driven architectures and AI applications

Target Audience

  • Product managers
  • FinTech founders
  • Strategy leaders

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