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Duration 14 hours
Course Outline
AI in the FinTech Landscape
- The evolution of FinTech: transitioning from digitization to intelligence.
- Identifying where AI adds value: through personalization, automation, and fraud detection.
- Review of case studies from challenger banks and AI-first platforms.
Open Banking and API Infrastructure
- An overview of PSD2, Open Finance, and global Open Banking frameworks.
- Applications of APIs in account aggregation, payments, and data services.
- Practical steps for building and testing API integrations using Postman.
Machine Learning for FinTech Innovation
- Applying supervised and unsupervised ML to credit scoring, KYC, and recommendation engines.
- Exploring key data sources in FinTech: transaction streams and behavioral data.
- Designing 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.
- Integrating voice assistants and natural language interfaces.
- Implementing AI in embedded lending, insurance, and savings products.
RegTech, Ethics, and Compliance
- The role of AI in identity verification and AML monitoring.
- Addressing fairness, bias, and explainability within financial AI systems.
- Navigating ethical considerations related to data usage and automation.
Prototyping AI-Enhanced FinTech Products
- Utilizing rapid prototyping tools and FinTech sandboxes.
- Mapping user journeys and introducing value-added features using AI.
- Applying design thinking to promote responsible and inclusive finance.
Future of AI and Open Finance
- Analyzing trends in autonomous finance and predictive banking.
- Understanding AI governance and evolving regulatory landscapes.
- Formulating strategic plans for AI-first product roadmaps.
Summary and Next Steps
Requirements
- A foundational understanding of financial products and digital platforms.
- Prior experience in data-driven product design or development.
- A keen interest in API-based architectures and AI application scenarios.
Target Audience
- Product managers.
- FinTech founders.
- Strategy leads.
Testimonials (1)
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