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Course Outline
AI in the FinTech Landscape
- The evolution of FinTech: moving from digitization to intelligent solutions
- Value creation through AI: personalization, automation, and fraud detection
- Real-world case studies from challenger banks and AI-centric platforms
Open Banking and API Infrastructure
- Understanding PSD2, Open Finance, and global Open Banking frameworks
- APIs enabling account aggregation, payments, and data services
- Constructing and validating API integrations using Postman
Machine Learning for FinTech Innovation
- Applying supervised and unsupervised ML for credit scoring, KYC, and recommendation engines
- Key data sources in FinTech: transaction streams and behavioral insights
- Architecting low-latency ML pipelines for instant decision-making
Conversational AI and Embedded Finance
- Leveraging LLMs and chatbots for digital advisory and customer support
- Voice assistants and natural language processing interfaces
- Integrating AI into embedded lending, insurance, and savings products
RegTech, Ethics, and Compliance
- Utilizing AI for identity verification and AML monitoring
- Addressing fairness, bias, and model explainability in financial AI
- Navigating ethical considerations in data utilization and automation
Prototyping AI-Enhanced FinTech Products
- Tools for rapid prototyping and FinTech sandbox environments
- Mapping user journeys and integrating value-added AI features
- Applying design thinking for responsible and inclusive financial solutions
The Future of AI and Open Finance
- Emerging trends in autonomous finance and predictive banking
- AI governance and navigating shifting regulatory environments
- Strategic planning for AI-first product roadmaps
Recap and Future Directions
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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