Course Outline

Fundamentals and Applications of Gen AI

  1. Introduction to Generative AI
  • What is Gen AI and how it works
  • Language models and their limitations
  • The role of humans in AI-assisted work

2. Gen AI for the Business Analyst

  • Support in problem analysis
  • Information structuring
  • Drafting documents and reports

3. Prompting in practice

  • How to formulate effective prompts
  • Context, objectives, and constraints
  • Iterative refinement of outputs

4. Supporting business analysis

  • Defining business problems
  • Formulating hypotheses
  • Scenario analysis

5. AI-assisted analytical documentation

  • Business requirements
  • Process descriptions
  • Workshop notes and summaries

Integrating AI into daily workflow

  1. Gen AI as a thinking aid, not a replacement
  • Critical assessment of AI outputs
  • Content verification and validation
  • Avoiding thoughtless automation

2. AI in stakeholder communication

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

3. Risks and responsibility

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

4. Building a custom BA workflow with AI

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

 

Requirements

  • Professional experience in a role related to data analysis, reporting, or business process support.
  • Technical skills: Proficiency in MS Excel (lookup functions, pivot tables, basic charting).
  • Domain knowledge: Basic understanding of Key Performance Indicators (KPIs) within one's business area and familiarity with the data lifecycle in an organization.

Audience

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

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