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Course Outline
AI in the FinTech Ecosystem
- The evolution of FinTech: shifting from basic digitization to intelligent systems
- Value creation through AI: personalization, automation, and fraud detection
- Case studies featuring challenger banks and AI-first platforms
Open Banking and API Architecture
- Overview of PSD2, Open Finance, and global Open Banking frameworks
- APIs for account aggregation, payments, and data services
- Developing and testing 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 analytics
- 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
- Implementing voice assistants and natural language interfaces
- Integrating AI into embedded lending, insurance, and savings products
RegTech, Ethics, and Compliance
- AI applications in identity verification and AML monitoring
- Addressing fairness, bias, and explainability in financial AI systems
- Ethical considerations regarding data usage and automation
Prototyping AI-Enhanced FinTech Products
- Utilizing rapid prototyping tools and FinTech sandboxes
- Mapping user journeys and identifying value-added features with AI
- Applying design thinking for responsible and inclusive finance
The 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
- An understanding of financial products and digital platforms
- Experience with data-driven product design or development
- Interest in API-based architectures and AI use cases
Audience
- Product managers
- FinTech founders
- Strategy leads
14 Hours
Testimonials (1)
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