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Course Outline

The Role of AI in the FinTech Ecosystem

  • The progression of FinTech: shifting from basic digitization to advanced intelligence
  • Key areas where AI drives value: personalization, automation, and fraud detection
  • Real-world case studies from challenger banks and AI-centric platforms

Open Banking and API Infrastructure

  • Overview of PSD2, Open Finance, and global Open Banking regulatory frameworks
  • APIs dedicated to account aggregation, payment processing, and data services
  • Constructing and testing API integrations using Postman

Machine Learning for FinTech Advancement

  • Application of supervised and unsupervised ML in credit scoring, KYC, and recommendation engines
  • Key data sources in FinTech: transaction streams and user behavioral data
  • Architecting low-latency ML pipelines to support real-time decision-making

Conversational AI and Embedded Finance

  • Leveraging LLMs and chatbots for digital advisory and customer support
  • Integration of voice assistants and natural language processing interfaces
  • Deploying AI within embedded lending, insurance, and savings products

RegTech, Ethics, and Compliance

  • Utilizing AI for identity verification and Anti-Money Laundering (AML) monitoring
  • Addressing fairness, bias, and model explainability in financial AI systems
  • Navigating ethical implications of data utilization and automated processes

Prototyping AI-Enhanced FinTech Solutions

  • Utilizing rapid prototyping tools and FinTech sandbox environments
  • Mapping user journeys and identifying value-added features through AI integration
  • Applying design thinking principles to foster responsible and inclusive finance

The Future of AI and Open Finance

  • Emerging trends in autonomous finance and predictive banking models
  • AI governance strategies and the evolving regulatory environment
  • Strategic planning for AI-first product roadmaps

Recap and Forward-Looking Actions

Requirements

  • A solid grasp of financial products and digital platforms
  • Practical experience 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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