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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
Testimonials (2)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny