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 Duration 14 hours (2 days)

Course Outline

The AI Landscape in FinTech

  • The evolution of FinTech: transitioning from digitization to intelligent systems.
  • Identifying value creation points through personalization, automation, and fraud detection.
  • Analyzing case studies from challenger banks and AI-first platforms.

Open Banking and API Ecosystems

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

Machine Learning for FinTech Advancement

  • Application of supervised and unsupervised ML in credit scoring, KYC, and recommendation engines.
  • Utilizing FinTech data sources, including transaction streams and behavioral insights.
  • Architecting low-latency ML pipelines for instant, real-time decision-making.

Conversational AI and Embedded Finance

  • Implementing LLMs and chatbots for digital advisory and customer support.
  • Integrating voice assistants and natural language processing interfaces.
  • Embedding AI capabilities into lending, insurance, and savings products.

RegTech, Ethics, and Compliance

  • The role of AI in identity verification and Anti-Money Laundering (AML) monitoring.
  • Addressing fairness, bias, and model explainability in financial AI.
  • Navigating ethical considerations regarding data usage and automated processes.

Prototyping AI-Enhanced FinTech Solutions

  • Utilizing rapid prototyping tools and FinTech sandbox environments.
  • Mapping user journeys and identifying value-added features powered by AI.
  • Applying design thinking to foster responsible and inclusive financial services.

The Future of AI and Open Finance

  • Emerging trends in autonomous finance and predictive banking models.
  • Managing AI governance amid evolving regulatory environments.
  • Strategic planning for AI-centric product roadmaps.

Recap and Path Forward

Requirements

  • A solid understanding of financial products and digital platforms.
  • Practical experience in data-driven product design or development.
  • A keen interest in API-centric architectures and AI applications.

Target Audience

  • Product Managers
  • FinTech Founders
  • Strategy Leads

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