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Course Outline
Artificial Intelligence in the FinTech Landscape
- Evolution of FinTech: from digitization to intelligent systems
- Where AI generates value: personalization, automation, and fraud detection
- Case studies from innovative banks and AI-first platforms
Open Banking and API Infrastructure
- PSD2, Open Finance, and global Open Banking frameworks for government
- APIs for account aggregation, payments, and data services in the public sector
- Building and testing API integrations using Postman for government applications
Machine Learning for FinTech Innovation
- Supervised and unsupervised machine learning for credit assessment, Know Your Customer (KYC) processes, and recommendation engines in financial services
- Data sources in FinTech: transaction streams and behavioral data for government use
- Designing low-latency machine learning pipelines for real-time decision-making in the public sector
Conversational AI and Embedded Finance
- Utilizing large language models (LLMs) and chatbots for digital advisory and support services for government
- Voice assistants and natural language interfaces in public sector applications
- AI in embedded lending, insurance, and savings products for government financial initiatives
RegTech, Ethics, and Compliance
- AI in identity verification and Anti-Money Laundering (AML) monitoring for government agencies
- Fairness, bias, and explainability in financial AI systems for public sector operations
- Ethical considerations in data use and automation for government services
Prototyping AI-Enhanced FinTech Products
- Rapid prototyping tools and FinTech sandboxes for government projects
- Mapping user journeys and value-added features with AI for public sector applications
- Design thinking for responsible and inclusive finance in the public sector
Future of AI and Open Finance
- Trends in autonomous finance and predictive banking for government services
- AI governance and evolving regulatory landscapes for government oversight
- Strategic planning for AI-first product roadmaps in the public sector
Summary and Next Steps
Requirements
- An understanding of financial products and digital platforms for government
- Experience with data-driven product design or development
- Interest in API-based architectures and artificial intelligence applications
Audience
- Product Managers
- FinTech Founders
- Strategy Leads
14 Hours
Testimonials (2)
it went through language right up to automation and made me aware of what capabilities I have.
Declan Glennon - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
The background / theory of LLMs, the exercise