Course Outline

Introduction to AI for Requirements Engineering

  • Overview of AI tools for product teams
  • Understanding the role of requirements in Agile and Scrum
  • Benefits and limitations of using AI for requirement capture

Gathering and Structuring Requirements with AI

  • Interview simulation with AI: transforming verbal input into requirements
  • Prompting techniques to clarify ambiguous statements
  • Organizing requirements into themes and features

Generating User Stories and Epics

  • Turning plain text into actionable user stories
  • Using AI to identify actors, actions, and goals
  • Creating epics and story hierarchies from AI suggestions

Writing Acceptance Criteria and Edge Cases

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

Refinement and Story Grooming with AI

  • Summarizing stakeholder meetings and notes
  • Splitting and merging stories using prompt guidance
  • Automating backlog refinement with AI assistance

Collaboration and Handoff

  • Sharing AI-generated stories with developers
  • Ensuring traceability from feature to test case
  • Generating documentation for stakeholder sign-off

Summary and Next Steps

Requirements

  • Basic understanding of software project lifecycles
  • Familiarity with Agile or Scrum frameworks
  • No technical background required

Audience

  • Product owners
  • Business analysts
  • Scrum masters
 7 Hours

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