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Course Outline
AI within the FinTech Ecosystem
- The evolution of FinTech: moving from digitisation to intelligence
- Value creation points: personalisation, automation, and fraud detection
- Case studies from challenger banks and AI-centric platforms
Open Banking and API Infrastructure
- PSD2, Open Finance, and global Open Banking frameworks
- APIs for account aggregation, payment processing, and data services
- Developing and testing API integrations using Postman
Machine Learning for FinTech Advancement
- Supervised and unsupervised ML for credit scoring, KYC, and recommendation engines
- FinTech data sources: transaction streams and behavioural data
- 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
- Voice assistants and natural language interfaces
- AI integration in 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 Solutions
- Rapid prototyping tools and FinTech sandboxes
- Mapping user journeys and enhancing value propositions with AI
- Applying design thinking to responsible and inclusive finance
The Future of AI and Open Finance
- Trends in autonomous finance and predictive banking
- AI governance and the evolving regulatory environment
- Strategic planning for AI-first product roadmaps
Wrap-up and Next Steps
Requirements
- Familiarity with financial products and digital platforms
- Background in data-driven product design or development
- Curiosity regarding API-based architectures and AI applications
Target Audience
- Product managers
- FinTech founders
- Strategy leads
14 Hours
Testimonials (1)
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