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Duration 14 hours (2 days)
Course Outline
The AI Landscape in FinTech
- The evolution of FinTech: transitioning from digitization to intelligent systems.
- Identifying value creation points through personalization, automation, and fraud detection.
- Analyzing case studies from challenger banks and AI-first platforms.
Open Banking and API Ecosystems
- Overview of PSD2, Open Finance, and global Open Banking regulatory frameworks.
- Leveraging APIs for account aggregation, payment processing, and data services.
- Constructing and validating API integrations with Postman.
Machine Learning for FinTech Advancement
- Application of supervised and unsupervised ML in credit scoring, KYC, and recommendation engines.
- Utilizing FinTech data sources, including transaction streams and behavioral insights.
- Architecting low-latency ML pipelines for instant, real-time decision-making.
Conversational AI and Embedded Finance
- Implementing LLMs and chatbots for digital advisory and customer support.
- Integrating voice assistants and natural language processing interfaces.
- Embedding AI capabilities into lending, insurance, and savings products.
RegTech, Ethics, and Compliance
- The role of AI in identity verification and Anti-Money Laundering (AML) monitoring.
- Addressing fairness, bias, and model explainability in financial AI.
- Navigating ethical considerations regarding data usage and automated processes.
Prototyping AI-Enhanced FinTech Solutions
- Utilizing rapid prototyping tools and FinTech sandbox environments.
- Mapping user journeys and identifying value-added features powered by AI.
- Applying design thinking to foster responsible and inclusive financial services.
The Future of AI and Open Finance
- Emerging trends in autonomous finance and predictive banking models.
- Managing AI governance amid evolving regulatory environments.
- Strategic planning for AI-centric product roadmaps.
Recap and Path Forward
Requirements
- A solid understanding of financial products and digital platforms.
- Practical experience in data-driven product design or development.
- A keen interest in API-centric architectures and AI applications.
Target Audience
- Product Managers
- FinTech Founders
- Strategy Leads
Testimonials (1)
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