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Course Outline
AI in the FinTech Landscape
- FinTech evolution: from digitization to intelligence
- Where AI creates value: personalization, automation, 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
- Building and testing API integrations using Postman
Machine Learning for FinTech Innovation
- Supervised and unsupervised ML for credit, KYC, and recommendation engines
- Data sources in FinTech: transaction streams, behavioral data
- Designing low-latency ML pipelines for real-time decisions
Conversational AI and Embedded Finance
- Using 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 use and automation
Prototyping AI-Enhanced FinTech Products
- Rapid prototyping tools and FinTech sandboxes
- Mapping user journeys and value-added features with AI
- 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
- 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)
I very much appreciated the way the trainer presented everything. I understood everything even if Finance is not my area, he made sure that every participant was on the same page, while keeping up with the time left. The exercises were placed at good intervals. Communication with the participants was always there. The material was perfect, not too much, not too little. He elaborated very well on a bit more complicated subjects so that it can be understood by everyone.
