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IGBS-SBDG · Professional Course

AI for Finance Workflows & Governance

Select, prompt, apply, and govern AI across finance workflows — from Excel analysis and communication to responsible-use controls and supervised AI agents.

Enroll now — 7 500,00 LEView course

2.1 hours

Guided learning

9 modules

Structured curriculum

55 lessons

Online, self-paced

7 500,00 LE

Course fee

About this course

Build practical skill in selecting, prompting, applying, and governing AI across finance workflows. Through concise lessons and interactive exercises, you will work with Excel-centred use cases, analysis and communication tasks, responsible-use controls, and supervised AI-agent workflows. Designed for finance professionals who already understand everyday Excel, reporting, analysis, and governance work.

Course curriculum

Module 1

MODULE 1 - Course Introduction
  • Lesson 1.1 Getting Started
  • Lesson 1.2 Introduction
  • Lesson 1.3 Learning Objectives
  • Lesson 1.4 Downloadable Materials

Module 2

MODULE 2 - AI in the Finance Workflow
  • Lesson 2.1 AI is Changing Finance
  • Lesson 2.2 Interactive Exercise: Where are you using AI today? (quiz)
  • Lesson 2.3 How AI Actually Works
  • Lesson 2.4 What AI Can and Can't Do
  • Lesson 2.5 The Four-Stage Finance Workflow for AI
  • Lesson 2.6 Interactive Exercise: Matching the Task to the Workflow Stage (quiz)
  • Lesson 2.7 The AI Tool Landscape for Finance Professionals
  • Lesson 2.8 Interactive Exercise: Drag the Task to the Tool Group (quiz)

Module 3

MODULE 3 - Choosing the Right AI Tool in Excel Workflows
  • Lesson 3.1 Choosing the Right AI Tool in Excel Workflows
  • Lesson 3.2 Interactive Exercise: Tool Selection Scenarios (quiz)
  • Lesson 3.3 Module Data and Demo Files
  • Lesson 3.4 Cleaning and Structuring Data
  • Lesson 3.5 Analysis, Formulas, and What-If With Excel-Native AI
  • Lesson 3.6 Interactive Exercise: Match the Task to the Right AI Approach (quiz)
  • Lesson 3.7 From Excel to PowerPoint - Communicating the Analysis
  • Lesson 3.8 Interactive Exercise: From Analysis to Slides (quiz)
  • Lesson 3.9 Completed Data and Demo Files

Module 4

MODULE 4 - Getting Useful Output From AI
  • Lesson 4.1 Getting Useful Output From AI
  • Lesson 4.2 Adding Context to Improve Results
  • Lesson 4.3 Interactive Exercise: Building a Prompt (quiz)
  • Lesson 4.4 Refining and Improving Outputs
  • Lesson 4.5 Interactive Exercise: Stepping Into the Next Prompt (quiz)
  • Lesson 4.6 Building Reusable Prompts for Recurring Work

Module 5

MODULE 5 - AI in Analysis and Communication
  • Lesson 5.1 Focusing on What Matters in the Data
  • Lesson 5.2 Interactive Exercise: Where Does AI Add the Most Value (quiz)
  • Lesson 5.3 Processing Long Documents and Disclosures
  • Lesson 5.4 Supporting Decisions With Structured Thinking
  • Lesson 5.5 Interactive Exercise: Match the Decision Type to the Structure (quiz)
  • Lesson 5.6 Communicating Analysis to Different Audiences
  • Lesson 5.7 Prompt for Audience-Specific Prompts Exercise
  • Lesson 5.8 Interactive Exercise: Write Audience-Specific Prompts (quiz)

Module 6

MODULE 6 - Risk, Governance, and Responsible Use of AI
  • Lesson 6.1 Hallucinations
  • Lesson 6.2 Choosing the Right Tool and Handling Sensitive Data
  • Lesson 6.3 Interactive Exercise: Classify the Use Case (quiz)
  • Lesson 6.4 Documenting AI Use and Maintaining an Audit Trail
  • Lesson 6.5 Where Good Documentation Matters Most
  • Lesson 6.6 Interactive Exercise: What's Missing From the Audit Trail (quiz)
  • Lesson 6.7 The AI Regulatory Landscape
  • Lesson 6.8 Governance and Model Risk
  • Lesson 6.9 Matching Controls to Impact
  • Lesson 6.10 Interactive Exercise: Tier the Use Case (quiz)
  • Lesson 6.11 Putting It Together: A Responsible AI Use Checklist

Module 7

MODULE 7 - Agentic AI
  • Lesson 7.1 What is Agentic AI
  • Lesson 7.2 AI Agents
  • Lesson 7.3 Designing Workflows for AI Agents
  • Lesson 7.4 Prompt for AI Agent Download
  • Lesson 7.5 Using an AI Agent: Earnings Review (quiz)
  • Lesson 7.6 Agentic AI Debrief

Module 8

MODULE 8 - Conclusion
  • Lesson 8.1 Staying Current and Evaluating What Comes Next
  • Lesson 8.2 Parting Thoughts

Module 9

MODULE 9 - Qualified Assessment
  • Lesson 9.1 Final Qualified Assessment (multiple-choice exam, pass mark 80%)

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