| Location | Duration | Kenyan Cost | Non-Kenyan Cost | Upcoming Schedules |
|---|---|---|---|---|
| Nairobi, Kenya | 5 Days | KES 115,000 | USD 1,500 | Enroll |
| Kigali, Rwanda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Kampala, Uganda | 5 Days | USD 1,900 | USD 1,900 | Enroll |
| Dar es Salaam, Tanzania | 5 Days | USD 2,000 | USD 2,000 | Enroll |
| Dubai, UAE | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Abuja, Nigeria | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Accra, Ghana | 5 Days | USD 4,000 | USD 4,000 | Enroll |
| Pretoria, South Africa | 5 Days | USD 3,900 | USD 3,900 | Enroll |
| Start & End Date | Duration | Kenyan Cost | Non-Kenyan Cost | Enroll | |
|---|---|---|---|---|---|
| Aug 03āAug 07, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Aug 17āAug 21, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Aug 31āSep 04, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 14āSep 18, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Sep 28āOct 02, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 12āOct 16, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Oct 26āOct 30, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 09āNov 13, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Nov 23āNov 27, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 07āDec 11, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Dec 21āDec 25, 2026 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 04āJan 08, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Jan 18āJan 22, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 01āFeb 05, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Feb 15āFeb 19, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 01āMar 05, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 15āMar 19, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Mar 29āApr 02, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 12āApr 16, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Apr 26āApr 30, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| May 10āMay 14, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| May 24āMay 28, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 07āJun 11, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
| Jun 21āJun 25, 2027 | 5 Days | KES 90,000 | USD 1,000 | Register | |
About the Course
Artificial Intelligence (AI) is transforming financial management by enhancing decision-making, automating routine processes, improving forecasting accuracy, strengthening risk management, and detecting fraud. Organizations that leverage AI effectively are achieving higher efficiency, better financial insights, and stronger governance.
This course is designed to equip finance professionals with practical knowledge and tools to integrate AI into financial management functions. It focuses on real-world applications, hands-on tools, and strategic implementation approaches relevant to both public and private sector environments.
Target Participants
This course is suitable for:
- Finance Managers and Accountants
- Financial Analysts and Auditors
- Budget Officers and Treasury Staff
- Internal Auditors and Risk Managers
- Public Finance and Development Practitioners
- CFOs and Finance Directors
What You Will Learn
By the end of this course the participants will be able to:
- Understand core AI concepts and their relevance to financial management
- Apply AI tools in budgeting, forecasting, and financial analysis
- Leverage AI for fraud detection and risk management
- Automate financial processes using AI-powered solutions
- Use AI for data-driven decision-making and reporting
- Develop strategies for adopting AI in financial systems
Course Duration
Classroom Based ā 5 Days
Course Outline
Introduction to AI in Financial Management
- Fundamentals of Artificial Intelligence, Machine Learning, and Automation
- AI vs Traditional Financial Systems
- Key AI technologies in finance (ML, NLP, RPA)
- Global trends in AI adoption in finance
- Opportunities and risks of AI in financial management
Data Foundations for AI in Finance
- Importance of data in AI-driven finance
- Data collection, cleaning, and preparation
- Financial data types and sources
- Data governance and quality management
- Introduction to financial data analytics tools
AI in Budgeting and Forecasting
- Limitations of traditional forecasting methods
- AI-powered predictive analytics
- Revenue and expenditure forecasting using AI
- Scenario analysis and simulations
- Hands-on: Forecasting using AI tools (e.g., Excel AI, Python-based tools)
AI in Financial Reporting and Analysis
- Automating financial reporting processes
- AI-driven dashboards and visualization
- Real-time financial insights
- Natural Language Generation (NLG) for reports
- Case study: AI-powered financial reporting
AI for Risk Management and Fraud Detection
- Financial risks in modern organizations
- AI techniques for anomaly detection
- Fraud detection models and tools
- Credit risk assessment using AI
- Case studies in fraud detection
Process Automation in Financial Management
- Robotic Process Automation (RPA) in finance
- Automating accounts payable/receivable
- AI in payroll and expense management
- Workflow optimization
- Tools: Introduction to RPA platforms
AI for Decision Support
- AI-driven decision-making frameworks
- Predictive vs prescriptive analytics
- Financial modeling using AI
- Scenario planning with AI tools
- Enhancing strategic financial decisions
AI Governance, Ethics, and Compliance
- Ethical considerations in AI use
- Bias and fairness in financial algorithms
- Data privacy and regulatory compliance
- AI governance frameworks
- Risk mitigation strategies
Implementing AI in Financial Systems
- AI adoption roadmap for organizations
- Integration with existing financial systems (ERP, IFMIS)
- Cost-benefit analysis of AI investments
- Change management and capacity building
- Overcoming implementation challenges
Emerging Trends in AI and Finance
- AI in fintech and digital banking
- Blockchain and AI integration
- AI in public financial management (PFM)
- Future of finance roles in an AI-driven world
Training Approach
This course is delivered through:
- Interactive lectures and expert-led discussions
- Hands-on practical sessions using AI tools
- Case studies and real-world applications
- Group work and simulations
- Demonstrations of AI-powered financial tools
Certificate of Course Completion
Upon successful completion of this course, participants will be issued with a certificate of Course Completion.