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 Duration 7 hours

Course Outline

Introduction to AI in Requirements Engineering

  • Overview of AI tools tailored for product teams
  • Understanding the role of requirements within Agile and Scrum
  • Exploring the advantages and constraints of AI in requirement capture

Collecting and Structuring Requirements with AI

  • AI-based interview simulations: converting verbal input into defined requirements
  • Prompting strategies to clarify vague statements
  • Categorizing requirements into themes and features

Creating User Stories and Epics

  • Transforming plain text into actionable user stories
  • Utilizing AI to identify actors, actions, and objectives
  • Building epics and story hierarchies based on AI suggestions

Drafting Acceptance Criteria and Edge Cases

  • Generating testable Given-When-Then criteria
  • Detecting exception paths and boundary conditions with AI
  • Evaluating AI outputs for clarity and completeness

Refinement and Story Grooming with AI

  • Summarizing notes and proceedings from stakeholder meetings
  • Splitting and consolidating stories using prompt guidance
  • Streamlining backlog refinement with AI support

Collaboration and Handover

  • Distributing AI-generated stories to developers
  • Maintaining traceability from feature to test case
  • Producing documentation for stakeholder approval

Recap and Next Steps

Requirements

  • Fundamental knowledge of software project lifecycles
  • Familiarity with Agile or Scrum methodologies
  • No prior technical experience required

Target Audience

  • Product owners
  • Business analysts
  • Scrum masters

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