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Course Outline
AI in the FinTech Landscape
- The evolution of FinTech: progressing from digitisation to intelligent systems
- Areas where AI generates value: personalisation, automation, and fraud detection
- Case studies featuring challenger banks and AI-focused platforms
Open Banking and API Infrastructure
- PSD2, Open Finance, and global Open Banking frameworks
- APIs facilitating account aggregation, payments, and data services
- Constructing and testing API integrations with Postman
Machine Learning for FinTech Innovation
- Applying supervised and unsupervised ML for credit assessment, KYC, and recommendation engines
- FinTech data sources: transaction streams and behavioural data
- Engineering low-latency ML pipelines for real-time decision-making
Conversational AI and Embedded Finance
- Leveraging LLMs and chatbots for digital advisory and support functions
- Voice assistants and natural language interfaces
- The role of AI in embedded lending, insurance, and savings products
RegTech, Ethics, and Compliance
- Utilising AI for 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
- Tools for rapid prototyping and FinTech sandboxes
- Mapping user journeys and enhancing value with AI features
- Applying design thinking for responsible and inclusive finance
Future of AI and Open Finance
- Emerging trends in autonomous finance and predictive banking
- AI governance and shifting regulatory environments
- Strategic planning for AI-first product roadmaps
Conclusion and Next Steps
Requirements
- A foundational understanding of financial products and digital platforms
- Background in data-driven product design or development
- An interest in API-centric architectures and AI applications
Target Audience
- Product managers
- FinTech founders
- Strategy leads
14 Hours
Testimonials (1)
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