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Course Outline
AI within the FinTech Ecosystem
- The evolution of FinTech: moving from digitization to intelligence
- Value creation by AI: personalization, automation, and fraud detection
- Case studies from challenger banks and AI-led platforms
Open Banking and API Infrastructure
- PSD2, Open Finance, and global Open Banking regulatory frameworks
- APIs for account aggregation, payment processing, and data services
- Developing and testing API integrations using Postman
Machine Learning for FinTech Innovation
- Applying supervised and unsupervised ML for credit assessment, KYC, and recommendation engines
- Data sources in FinTech: transaction streams and behavioral analytics
- Designing low-latency ML pipelines for real-time decision-making
Conversational AI and Embedded Finance
- Utilizing LLMs and chatbots for digital advisory and customer support
- Voice assistants and natural language interaction interfaces
- AI applications in embedded lending, insurance, and savings products
RegTech, Ethics, and Compliance
- AI's role in identity verification and AML monitoring
- Addressing fairness, bias, and explainability in financial AI systems
- Ethical implications of data usage and automation
Prototyping AI-Enhanced FinTech Products
- Rapid prototyping tools and FinTech regulatory sandboxes
- Mapping user journeys and integrating value-added AI features
- 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-centric product roadmaps
Conclusion and Next Steps
Requirements
- Familiarity with financial products and digital platforms
- Experience in data-driven product design or development
- An interest in API-based architectures and AI applications
Target Audience
- Product managers
- FinTech founders
- Strategy leads
14 Hours
Testimonials (1)
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