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Duration 14 hours (2 days)
Course Outline
AI within the FinTech Ecosystem
- The evolution of FinTech: transitioning from basic digitization to intelligent systems.
- Identifying where AI adds value: personalization, process automation, and fraud detection.
- Real-world case studies from challenger banks and AI-centric platforms.
Open Banking and API Frameworks
- Overview of PSD2, Open Finance, and international Open Banking standards.
- Utilizing APIs for account aggregation, payment processing, and data services.
- Developing and testing API integrations with Postman.
Machine Learning for FinTech Advancement
- Applying supervised and unsupervised ML for credit scoring, KYC processes, and recommendation engines.
- Leveraging FinTech data sources such as transaction streams and behavioral insights.
- Architecting low-latency ML pipelines for immediate, real-time decision-making.
Conversational AI and Embedded Financial Services
- Deploying LLMs and chatbots for digital advisory and customer support.
- Integrating voice assistants and natural language interfaces.
- Incorporating AI into embedded lending, insurance, and savings products.
RegTech, Ethics, and Regulatory Compliance
- Utilizing AI for identity verification and Anti-Money Laundering (AML) monitoring.
- Addressing fairness, bias mitigation, and explainability in financial AI models.
- Navigating ethical considerations regarding data usage and automation.
Prototyping AI-Driven FinTech Solutions
- Utilizing rapid prototyping tools and FinTech regulatory sandboxes.
- Mapping user journeys and enhancing value-added features through AI.
- Applying design thinking principles for responsible and inclusive financial services.
The Future of AI and Open Finance
- Emerging trends in autonomous finance and predictive banking models.
- AI governance strategies and adapting to changing regulatory environments.
- Strategic planning for AI-first product roadmaps.
Conclusion and Path Forward
Requirements
- Familiarity with financial products and digital platforms.
- Prior experience in data-driven product design or development.
- A keen interest in API-based architectures and AI applications.
Target Audience
- Product managers.
- FinTech founders.
- Strategy leads.
Testimonials (1)
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