Finance 4.0: AI-Led Financial
Transformation & Analytics Masterclass

Navigating Financial Modelling with Excel, Power BI and AI

Financial modelling plays a critical role in modern decision making, enabling finance professionals to translate data into insight for budgeting, forecasting, valuation, performance management and risk analysis.

Excel has long been the foundation of financial modelling, offering flexibility, transparency and control. Power BI extends these capabilities by enabling scalable data models, interactive dashboards and enterprise grade reporting. More recently, AI and Python based analytics have introduced predictive modelling, automation and advanced statistical techniques, allowing finance teams to move beyond descriptive analysis toward forward looking, insight driven decision support.

Generative AI tools like ChatGPT and Copilot now serve as powerful co-pilots for finance professionals helping validate code, clean data, generate Python scripts, explain complex concepts, and accelerate analytical workflows. The concept and contents of an ESG (Environment, Social and Governance) programme comprise the materials for day three of this course. Finally, we will review the nature, meaning, and application of elements of Machine Learning.

This four-day programme integrates Excel, Power BI, AI prompting techniques, ESG, and Machine Learning into a coherent financial modelling framework. Participants will build robust, auditable, and decision-ready models using the right tool for the right task, with a strong emphasis on real-world application and AI-augmented productivity.

The course balances technical depth with professional judgement, ensuring that models are not only accurate, but also scalable, transparent and trusted by stakeholders.

Who Should Attend?

This programme is designed for finance professionals, accountants and analysts who already work with financial models and want to strengthen their capability across Excel, Power BI and AI enabled analytics.

  • Finance Managers and CFOs
  • FP&A and Financial Analysts
  • Management Accountants
  • Business Intelligence Analysts working with finance data
  • Investment and Corporate Finance professionals
  • Data Analysts operating in finance or performance management roles

Why This Program Stands Out

  • Hands-on labs in every session, participants build real models, not just watch demonstrations.
  • Real-world case studies grounded in finance practice, not academic theory.
  • Balanced approach that combines technical depth with professional judgment.
  • Enterprise-grade rigor in model governance, validation, and auditability.
  • AI and ML demystified for finance professionals who want to lead, not follow.
  • ESG integration throughout, reflecting the financial materiality of sustainability.
  • Practical frameworks participants can apply immediately in their organizations.

EXCEL-BASED FINANCIAL MODELLING ESSENTIALS

  • SESSION 1: ADVANCED EXCEL FOR FINANCIAL MODELLING
  • SESSION 2: SENSITIVITY AND SCENARIO ANALYSIS
  • SESSION 3: FINANCIAL STATEMENT MODELLING
  • SESSION 4: EXCEL AUTOMATION FOR FINANCE

POWER BI FOR FINANCIAL MODELLING AND REPORTING

  • SESSION 5: POWER BI FOR FINANCE – FOUNDATIONS
  • SESSION 6: DATA MODELLING AND DAX FOR FINANCE
  • SESSION 7: THE EFFECTIVE IMPLEMENTATION OF AI MODELS

AI ENHANCED FINANCIAL MODELLING & PREDICTIVE ANALYTICS

  • SESSION 8: AI IN FINANCIAL MODELLING
  • SESSION 9: AI POWERED FORECASTING AND ANALYTICS
  • SESSION 10: AUTOMATION AND AI DRIVEN DECISION SUPPORT
  • SESSION 11: ESG ANALYTICS & FINANCIAL MODELLING
  • SESSION 12: AI ENABLED ESG ANALYTICS

MACHINE LEARNING

  • SESSION 13: WHY MACHINE LEARNING MATTERS IN FINANCE (45 MINUTES)
  • SESSION 14: MACHINE LEARNING TAXONOMY FOR FINANCE (60 MINUTES)
  • SESSION 15: CORE ALGORITHMS EVERY FINANCE LEADER SHOULD UNDERSTAND (90 MINUTES)
  • SESSION 16: FINANCIAL DATA PREPARATION FOR ML (45 MINUTES)
  • SESSION 17: MODEL EVALUATION & GOVERNANCE (60 MINUTES)
  • SESSION 18: MACHINE LEARNING IN POWER BI & THE FINANCE STACK (60–90 MINUTES)