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Course Outline
AI in the FinTech Landscape
- The evolution of FinTech: shifting from digitization to intelligence.
- Value creation through AI: personalization, automation, and fraud detection.
- Insights from case studies involving challenger banks and AI-first platforms.
Open Banking and API Infrastructure
- Frameworks such as PSD2, Open Finance, and global Open Banking standards.
- APIs supporting account aggregation, payments, and data services.
- Developing and testing API integrations using Postman.
Machine Learning for FinTech Innovation
- Applying supervised and unsupervised ML to credit, KYC, and recommendation engines.
- FinTech data sources: analyzing transaction streams and behavioral data.
- Architecting low-latency ML pipelines for 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.
- AI applications in embedded lending, insurance, and savings products.
RegTech, Ethics, and Compliance
- Utilizing AI for identity verification and AML monitoring.
- Addressing fairness, bias, and explainability in financial AI systems.
- Ethical perspectives on data usage and automation.
Prototyping AI-Enhanced FinTech Products
- Employing rapid prototyping tools and FinTech sandboxes.
- Mapping user journeys and enhancing value with AI features.
- Applying design thinking to create responsible and inclusive finance.
Future of AI and Open Finance
- Emerging trends in autonomous finance and predictive banking.
- AI governance and the evolving regulatory environment.
- Strategic planning for AI-driven product roadmaps.
Summary and Next Steps
Requirements
- Familiarity with financial products and digital platforms.
- Background in data-driven product design or development.
- Curiosity regarding API-based architectures and AI applications.
Target Audience
- Product managers
- FinTech founders
- Strategy leads
14 Hours
Testimonials (1)
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