Currency changed to South African Rands (ZAR)
AI in Finance, Banking & Risk Management
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) …
Short Courses
Beginner
AI in Finance, Banking & Risk Management
60 hours
0 students
Added Apr 15, 2026
Course Overview:
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in finance, banking, and risk management. It focuses on how AI-driven tools and data analytics can enhance financial decision-making, risk assessment, fraud detection, regulatory compliance, and operational efficiency within financial institutions.
Participants will gain the capacity to apply AI responsibly across banking and financial systems while addressing governance, ethics, data security, and regulatory requirements—particularly within emerging and developing market contexts.
________________________________________
Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to finance and banking
Apply AI tools to credit risk assessment, fraud detection, and financial forecasting
Use AI-driven analytics to support risk management and compliance functions
Enhance strategic and operational decision-making using predictive insights
Identify ethical, regulatory, and data governance challenges in financial AI systems
Support digital transformation and innovation in financial institutions
________________________________________
Target Audience:
Banking and financial services professionals
Risk managers and compliance officers
Credit analysts and portfolio managers
Internal auditors and financial controllers
Central bank and financial regulator officials
Fintech and digital banking professionals
Policy analysts and financial sector consultants
Senior managers and executives in finance
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in finance, banking, and risk management. It focuses on how AI-driven tools and data analytics can enhance financial decision-making, risk assessment, fraud detection, regulatory compliance, and operational efficiency within financial institutions.
Participants will gain the capacity to apply AI responsibly across banking and financial systems while addressing governance, ethics, data security, and regulatory requirements—particularly within emerging and developing market contexts.
________________________________________
Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to finance and banking
Apply AI tools to credit risk assessment, fraud detection, and financial forecasting
Use AI-driven analytics to support risk management and compliance functions
Enhance strategic and operational decision-making using predictive insights
Identify ethical, regulatory, and data governance challenges in financial AI systems
Support digital transformation and innovation in financial institutions
________________________________________
Target Audience:
Banking and financial services professionals
Risk managers and compliance officers
Credit analysts and portfolio managers
Internal auditors and financial controllers
Central bank and financial regulator officials
Fintech and digital banking professionals
Policy analysts and financial sector consultants
Senior managers and executives in finance
Who Should Take This Course
This course is ideal for beginners and those new to the field. No prior experience is required.
Course Content
-
Introduction to Artificial Intelligence, machine learning, and data analytics6 min
-
Evolution of digital banking and financial technologies5 min
-
Data-driven decision-making in financial institutions5 min
-
Overview of AI applications in finance and banking4 min
-
Overview of AI applications in finance and banking4 min
-
AI-based credit scoring and customer risk profilin6 min
-
Loan underwriting and approval automation5 min
-
Predictive analytics for default and delinquency risk5 min
-
Portfolio optimization and asset allocation4 min
-
Stress testing and scenario analysis using AI4 min
-
AI-driven transaction monitoring and anomaly detection4 min
-
Anti-money laundering (AML) and counter-terrorist financing (CTF) applications6 min
-
AI tools for payment fraud and cyber fraud detection9 min
-
Behavioural analytics and customer risk monitoring6 min
-
Managing false positives and system effectiveness1 min
-
AI-supported market risk analysis and forecasting5 min
-
Algorithmic trading and decision-support tools3 min
-
Algorithmic trading and decision-support tools5 min
-
Interest rate, foreign exchange, and commodity risk modelling4 min
-
Executive dashboards and real-time financial insights4 min
-
AI for operational risk identification and control6 min
-
Regulatory technology (RegTech) and compliance automation5 min
-
Model risk management and validation5 min
-
Internal controls and governance of AI systems4 min
-
Supervisory expectations and regulatory alignment5 min
-
Financial data quality, privacy, and security6 min
-
Bias, explainability, and fairness in AI models5 min
-
Ethical use of AI in credit and customer decisions5 min
-
Accountability, transparency, and human oversight5 min
-
Accountability, transparency, and human oversight4 min
-
Assessing institutional readiness for AI adoption1 min
-
Integrating AI into core banking and finance systems6 min
-
Change management and skills development5 min
-
Vendor management and third-party risk5 min
-
Investment, cost-benefit, and sustainability considerations4 min
-
Generative AI and intelligent automation in finance5 min
-
AI in digital banking, fintech, and financial inclusion6 min
-
Central bank digital currencies (CBDCs) and AI5 min
-
Regional and global case studies5 min
-
Preparing financial institutions for future risks and opportunities5 min
Student Reviews
No reviews yet
Be the first to review this course!
ZAR1,481.48
Full Lifetime Access
Access on Mobile and TV
Certificate of Completion
Your Review
Please login to leave a review.