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Course Outline
AI in the FinTech Ecosystem
- The evolution of FinTech: transitioning from simple digitization to intelligent systems
- Areas where AI adds value: personalization, automation, and fraud detection
- Insights from case studies involving challenger banks and AI-first platforms
Open Banking and API Infrastructure
- Overview of PSD2, Open Finance, and global Open Banking frameworks
- Utilizing APIs for account aggregation, payments, and data services
- Constructing and testing API integrations using Postman
Machine Learning for FinTech Innovation
- Applying supervised and unsupervised ML for credit scoring, KYC, and recommendation engines
- Leveraging FinTech data sources: transaction streams and behavioral data
- Creating low-latency ML pipelines for real-time decision-making
Conversational AI and Embedded Finance
- Implementing LLMs and chatbots for digital advisory and customer support
- Developing voice assistants and natural language 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 explainability in financial AI systems
- Navigating ethical considerations in data utilization and automation
Prototyping AI-Enhanced FinTech Products
- Employing rapid prototyping tools and FinTech sandboxes
- Mapping user journeys and introducing value-added features using 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 shifting regulatory environments
- Strategic planning for AI-driven product roadmaps
Summary and Next Steps
Requirements
- A solid grasp of financial products and digital platforms
- Practical experience in data-driven product design or development
- A keen interest in API-based architectures and AI applications
Audience
- Product managers
- FinTech founders
- Strategy leads
14 Hours
Testimonials (1)
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