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Course Outline
AI in the FinTech Landscape
- The evolution of FinTech: transitioning from simple digitization to intelligent systems.
- Value creation through AI: enhancing personalization, automation, and fraud detection capabilities.
- Real-world 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.
- Utilizing APIs for account aggregation, payments, and data services.
- Practical building and testing of API integrations using Postman.
Machine Learning for FinTech Innovation
- Applying supervised and unsupervised ML to credit assessment, KYC, and recommendation engines.
- Key data sources in FinTech, including transaction streams and behavioral data.
- Constructing low-latency ML pipelines to facilitate 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.
- The role of AI in embedded lending, insurance, and savings products.
RegTech, Ethics, and Compliance
- The application of AI in identity verification and AML monitoring processes.
- Addressing fairness, bias, and explainability within financial AI systems.
- Ethical considerations regarding data utilization and automation.
Prototyping AI-Enhanced FinTech Products
- Utilizing rapid prototyping tools and FinTech sandboxes for development.
- Mapping user journeys and integrating value-added features through AI.
- Applying design thinking principles to foster responsible and inclusive finance.
Future of AI and Open Finance
- Emerging trends in autonomous finance and predictive banking.
- AI governance and navigating evolving regulatory landscapes.
- Strategic planning for AI-first product roadmaps.
Summary and Next Steps
Requirements
- A foundational grasp of financial products and digital platforms.
- Prior 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 leads.
14 Hours
Testimonials (1)
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