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 for product teams
- Comprehending the function of requirements in Agile and Scrum
- Advantages and constraints of employing AI for requirement capture
Collecting and Structuring Requirements with AI
- Simulated interviews with AI: converting verbal input into requirements
- Prompting methods to clarify vague statements
- Categorizing requirements into themes and features
Creating User Stories and Epics
- Converting plain text into actionable user stories
- Utilizing AI to identify actors, actions, and goals
- Building epics and story hierarchies based on AI suggestions
Drafting Acceptance Criteria and Edge Cases
- Producing 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 stakeholder meetings and notes
- Splitting and merging stories guided by prompts
- Streamlining backlog refinement with AI support
Collaboration and Handoff
- Sharing AI-generated stories with developers
- Maintaining traceability from feature to test case
- Creating documentation for stakeholder approval
Summary and Future Steps
Requirements
- Foundational knowledge of software project lifecycles
- Familiarity with 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
