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Course Outline
Introduction to AI in Requirements Engineering
- Overview of AI tools relevant to product teams.
- Understanding the role of requirements within Agile and Scrum.
- Advantages and limitations of using AI for requirement capture.
Gathering and Structuring Requirements with AI
- Conducting interview simulations with AI to transform verbal input into formal requirements.
- Applying prompting techniques to clarify ambiguous statements.
- Organising requirements into coherent themes and features.
Generating User Stories and Epics
- Converting plain text into actionable user stories.
- Utilising AI to identify actors, actions, and goals.
- Creating epics and story hierarchies based on AI suggestions.
Writing Acceptance Criteria and Edge Cases
- Generating Given-When-Then testable criteria.
- Identifying exception paths and boundary conditions using AI.
- Reviewing AI outputs for clarity and completeness.
Refinement and Story Grooming with AI
- Summarising 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
- Fundamental understanding of software project lifecycles.
- Familiarity with Agile or Scrum frameworks.
- No prior technical background is required.
Audience
- Product owners.
- Business analysts.
- Scrum masters.
7 Hours
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
