Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 7 hours
Course Outline
Introduction to AI in Requirements Engineering
- Overview of AI tools designed for product teams
- The significance of requirements within Agile and Scrum frameworks
- Advantages and constraints of utilizing AI for capturing requirements
Eliciting and Structuring Requirements with AI
- Simulated interviews with AI: Converting verbal feedback into actionable requirements
- Prompting strategies to resolve ambiguities
- Grouping requirements into thematic areas and features
Creation of User Stories and Epics
- Transforming raw text into executable user stories
- Employing AI to pinpoint actors, actions, and objectives
- Building epics and story hierarchies based on AI recommendations
Drafting Acceptance Criteria and Edge Cases
- Generating testable Given-When-Then criteria
- Detecting exception paths and boundary conditions using AI
- Evaluating AI-generated output for clarity and thoroughness
Refinement and Story Grooming via AI
- Condensing stakeholder meeting notes and discussions
- Splitting and combining stories through guided prompting
- Streamlining backlog refinement with AI support
Collaboration and Transition
- Sharing AI-crafted stories with development teams
- Maintaining traceability from feature definition to test case
- Preparing documentation for stakeholder approval
Recap and Future Directions
Requirements
- Foundational knowledge of software project lifecycles
- Awareness of Agile or Scrum methodologies
- No prior technical background is necessary
Target Audience
- Product Owners
- Business Analysts
- Scrum Masters
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
