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Duration 7 hours
Course Outline
Introduction to AI for Requirements Engineering
- Overview of AI tools available to product teams
- Understanding the role of requirements within Agile and Scrum
- Advantages and constraints of using AI for capturing requirements
Gathering and Structuring Requirements with AI
- AI-powered interview simulation: converting verbal input into requirements
- Prompting techniques for clarifying ambiguous statements
- Categorizing requirements into themes and features
Generating User Stories and Epics
- Converting plain text into actionable user stories
- Utilizing AI to identify actors, actions, and goals
- Building epics and story hierarchies from AI recommendations
Writing Acceptance Criteria and Edge Cases
- Creating testable Given-When-Then criteria
- Using AI to identify exception paths and boundary conditions
- Evaluating AI outputs for clarity and completeness
Refinement and Story Grooming with AI
- Summarizing stakeholder meetings and notes
- Splitting and merging stories with prompt guidance
- Streamlining backlog refinement with AI support
Collaboration and Handoff
- Sharing AI-generated stories with developers
- Ensuring traceability from feature to test case
- Producing documentation for stakeholder approval
Summary and Next Steps
Requirements
- Fundamental understanding of software project lifecycles
- Familiarity with Agile or Scrum frameworks
- No technical background is required
Audience
- Product owners
- Business analysts
- Scrum masters
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1300 € + VAT*
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Testimonials (1)
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
