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 Duration 14 hours

Course Outline

Fundamentals and Applications of Gen AI

Introduction to Generative AI

  • Overview of Gen AI and its operational mechanics
  • Exploring language models and their inherent limitations
  • The critical role of humans in AI-assisted workflows

Gen AI for the Business Analyst

  • Assisting with problem analysis
  • Structuring information effectively
  • Drafting documents and reports

Prompting in practice

  • Crafting effective prompts
  • Defining context, objectives, and constraints
  • Refining outputs through iteration

Supporting business analysis

  • Defining business problems
  • Formulating hypotheses
  • Conducting scenario analysis

AI-assisted analytical documentation

  • Business requirements
  • Process descriptions
  • Workshop notes and summaries

Integrating AI into daily workflow

Gen AI as a thinking aid, not a replacement

  • Critically evaluating AI outputs
  • Verifying and validating content
  • Preventing unthinking automation

AI in stakeholder communication

  • Preparing communications and updates
  • Simplifying complex content
  • Tailoring messages for diverse 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 background in data analysis, reporting, or business process support roles.
  • Technical proficiency: Competence in MS Excel, including lookup functions, pivot tables, and basic charting.
  • Domain knowledge: A fundamental understanding of Key Performance Indicators (KPIs) relevant to your business area, along with familiarity with the organizational data lifecycle.

Target Audience

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

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