Course Outcomes
Expected learning outcomes
Course Outcomes
- Understand AI applications in banking, insurance and financial services operations.
- Apply AI-supported approaches to fraud detection, risk monitoring and compliance.
- Use AI insights to improve customer experience, credit analysis and service delivery.
- Identify operational, regulatory, data privacy and ethical risks in financial AI adoption.
- Develop practical AI adoption strategies for responsible financial innovation.
Curriculum
Course modules and outline
Course Outline
Module 1: AI in banking and financial services
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 2: Fraud detection and transaction monitoring concepts
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 3: Customer analytics and digital banking experience
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 4: Credit risk, scoring and decision support
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 5: Compliance, regulatory reporting and documentation
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 6: Operational risk and AI controls
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 7: Chatbots and service automation in finance
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 8: Data privacy and responsible AI in banking
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 9: AI innovation in financial services
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Module 10: Developing an AI adoption roadmap for financial institutions
- Key concepts, practical examples and sector-based discussion.
- Workplace application activity, templates and implementation considerations.
Target Audience
Who should attend?
Target Audience
Banking professionals, credit officers, risk managers, compliance officers, auditors, financial services regulators, finance managers, digital banking teams, customer service teams, internal control officers, insurance professionals and financial technology teams.
Why Attend
Key course benefits
Practical capacity building approach
Designed for government, NGOs and public institutions
Real-world African case studies
Certificate of completion
Applicable tools and templates
Interactive facilitation and exercises
Course Enquiry
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