Financial AI for non finance managers Training in London, United Kingdom by EduCore Global Skills

Module 1: Foundations of Finance for Non-Finance Managers

Core competencies for Foundations of Finance for Non-Finance Managers.

• Core financial statements (income statement, balance sheet, cash flow) and how they connect
• Key financial terms and metrics (revenue, margin, EBITDA, working capital, ROI)
• How finance supports strategy, planning, and decision-making
• Budgets, forecasts, and variance analysis
• The manager’s role in financial accountability and cost control

Module 2: Introduction to AI in Finance

Core competencies for Introduction to AI in Finance.

• AI, machine learning, and generative AI explained in plain language
• How AI differs from traditional analytics and automation
• Overview of AI use cases across the finance function
• Understanding data: what AI needs and why quality matters
• Common myths, limitations, and realistic expectations

Module 3: AI for Budgeting, Forecasting, and Planning

Core competencies for AI for Budgeting, Forecasting, and Planning.

• Predictive forecasting of revenue, costs, and demand
• Scenario modeling and sensitivity analysis with AI tools
• Automating budget preparation and rolling forecasts
• Interpreting AI-generated forecasts and confidence levels
• Combining managerial judgment with AI predictions

Module 4: Generative AI Tools for Everyday Financial Tasks

Core competencies for Generative AI Tools for Everyday Financial Tasks.

• Using generative AI to summarize reports, contracts, and financial documents
• Prompt writing for financial analysis and reporting
• AI in spreadsheets: formulas, data cleaning, and quick analysis
• Drafting management commentary, business cases, and board updates
• Verifying outputs and avoiding errors and “hallucinations”

Module 5: Data Analytics and Visualization for Decision-Making

Core competencies for Data Analytics and Visualization for Decision-Making.

• Turning financial data into insights and KPIs
• Dashboards and self-service analytics tools
• Cost, profitability, and customer or product analysis
• Anomaly detection and spotting trends early
• Data storytelling for non-technical audiences

Module 6: AI in Operational Finance and Process Automation

Core competencies for AI in Operational Finance and Process Automation.

• Automating accounts payable, receivable, and invoice processing
• Expense management and procurement analytics
• Cash flow management and working capital optimization
• Robotic process automation (RPA) and intelligent document processing
• Evaluating efficiency gains and cost savings from automation

Module 7: AI for Risk Management, Fraud Detection, and Compliance

Core competencies for AI for Risk Management, Fraud Detection, and Compliance.

• Credit, market, and operational risk analytics
• Fraud detection and anomaly monitoring
• Regulatory compliance, audit support, and reporting automation
• Cybersecurity and protecting sensitive financial data
• Internal controls in an AI-enabled environment

Module 8: Investment Decisions and Business Case Development

Core competencies for Investment Decisions and Business Case Development.

• Capital budgeting basics (NPV, IRR, payback period)
• Building a business case for AI and technology investments
• Measuring ROI and total cost of ownership of AI initiatives
• Build vs. buy vs. partner decisions
• Evaluating vendors, pilots, and proof-of-concept results

Module 9: Ethics, Governance, and Responsible Use of AI

Core competencies for Ethics, Governance, and Responsible Use of AI.

• Bias, fairness, and transparency in financial AI models
• Explainability and accountability for AI-driven decisions
• Data privacy and protection laws
• AI governance frameworks, policies, and approval processes
• Human oversight and when not to rely on AI

Module 10: Leading AI Adoption and Future Trends

Core competencies for Leading AI Adoption and Future Trends.

• Building an AI-ready culture and managing change
• Collaborating with finance, IT, and data teams
• Upskilling teams and redefining roles
• Emerging trends (AI agents, real-time finance, embedded analytics)
• Developing a personal and departmental AI action plan

How is Financial AI for non finance managers Training delivered?

Financial AI for non finance managers Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.

What are the fees for Financial AI for non finance managers Training?

The published course investment is KES 80,000 and USD 4,200. Location-specific fees are shown where configured.

How long is Financial AI for non finance managers Training?

Financial AI for non finance managers Training runs for 5 Days unless a customized corporate schedule is agreed.

Do participants receive a certificate for Financial AI for non finance managers Training?

Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.

Where can I take Financial AI for non finance managers Training?

Financial AI for non finance managers Training is available in London, United Kingdom. Current dates are shown only where real sessions have been configured.

Who should attend Financial AI for non finance managers Training?

Financial AI for non finance managers Training is designed for Finance Officers, Accountants, Auditors, Budget Officers, Treasury Staff, Finance Managers and organizations that need practical capability in Financial Management, Banking, and Insurance.

What are the prerequisites for Financial AI for non finance managers Training?

No mandatory prerequisite is required unless stated in the course outline. Practical workplace experience in the subject area is helpful.