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Course Outline
AI Within the FinTech Ecosystem
- The evolution of FinTech: transitioning from digitization to intelligent systems
- Value creation through AI: personalization, automation, and fraud detection
- Insights from case studies involving challenger banks and AI-first platforms
Open Banking and API Foundations
- Overview of PSD2, Open Finance, and global Open Banking frameworks
- APIs dedicated to account aggregation, payments, and data services
- Developing and testing API integrations using Postman
Machine Learning for FinTech Advancement
- Applying supervised and unsupervised ML to credit assessment, KYC processes, and recommendation engines
- Key FinTech data sources: transaction streams and behavioral analytics
- 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
- Integrating voice assistants and natural language interfaces
- AI applications in embedded lending, insurance, and savings products
RegTech, Ethics, and Regulatory Compliance
- Utilizing AI for identity verification and AML monitoring
- Addressing fairness, bias, and explainability in financial AI systems
- Ethical frameworks for data utilization and automation
Prototyping AI-Enhanced FinTech Solutions
- Tools for rapid prototyping and FinTech sandboxes
- Mapping user journeys and enhancing features with AI
- Design thinking focused on responsible and inclusive finance
The Future of AI and Open Finance
- Emerging trends in autonomous finance and predictive banking
- AI governance and the evolving regulatory environment
- Strategic planning for AI-first product roadmaps
Conclusion and Recommended 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
Target Audience
- Product Managers
- FinTech Founders
- Strategy Leads
14 Hours
Testimonials (1)
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