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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