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 Duration 14 hours

Course Outline

Fundamentals and Applications of GenAI

Introduction to Generative AI

  • What is GenAI and how it functions
  • Language models and their inherent limitations
  • The role of human oversight in AI-assisted work

GenAI for the Business Analyst

  • Supporting problem analysis
  • Structuring information effectively
  • Drafting documents and reports

Prompting in Practice

  • Formulating effective prompts
  • Managing context, objectives, and constraints
  • Iteratively refining outputs

Supporting Business Analysis

  • Defining business problems clearly
  • Formulating hypotheses
  • Conducting scenario analysis

AI-Assisted Analytical Documentation

  • Business requirements
  • Process descriptions
  • Workshop notes and summaries

Integrating AI into Daily Workflow

GenAI as a Thinking Aid, Not a Replacement

  • Critical assessment of AI outputs
  • Content verification and validation
  • Avoiding unreflective automation

AI in Stakeholder Communication

  • Preparing communications and updates
  • Simplifying complex content
  • Tailoring messages for different audiences

Risks and Responsibility

  • Data privacy and confidentiality
  • Accountability for AI-generated content
  • Ethical considerations

Building a Custom BA Workflow with AI

  • Practical use-case scenarios
  • Integration with productivity tools
  • Team best practices

 

Requirements

  • Professional experience in roles related to data analysis, reporting, or business process support.
  • Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
  • Domain knowledge: A fundamental understanding of Key Performance Indicators (KPIs) within your specific business area and familiarity with the organisational data lifecycle.

Target Audience

  • Business and Systems Analysts.
  • Product Owners and Product Managers.
  • Business Consultants.
  • Requirements Engineering Specialists.

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