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Course Outline
AI in the FinTech Landscape
- The evolution of FinTech: from digitization to intelligence
- Areas where AI creates value: personalization, automation, and fraud detection
- Case studies from challenger banks and AI-first platforms
Open Banking and API Infrastructure
- PSD2, Open Finance, and global Open Banking frameworks
- APIs for account aggregation, payments, and data services
- Constructing and testing API integrations using Postman
Machine Learning for FinTech Innovation
- Supervised and unsupervised ML for credit scoring, KYC, and recommendation engines
- Data sources in FinTech: transaction streams and behavioral data
- Designing low-latency ML pipelines for real-time decision-making
Conversational AI and Embedded Finance
- Leveraging LLMs and chatbots for digital advisory and support
- Voice assistants and natural language interfaces
- AI in embedded lending, insurance, and savings products
RegTech, Ethics, and Compliance
- AI in identity verification and AML monitoring
- Fairness, bias, and explainability in financial AI systems
- Ethical considerations in data usage and automation
Prototyping AI-Enhanced FinTech Products
- Rapid prototyping tools and FinTech sandboxes
- Mapping user journeys and adding value through AI features
- Design thinking for responsible and inclusive finance
Future of AI and Open Finance
- Trends in autonomous finance and predictive banking
- AI governance and evolving regulatory landscapes
- Strategic planning for AI-first product roadmaps
Summary and Next Steps
Requirements
- Familiarity with financial products and digital platforms
- 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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