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
Fundamentals of AI in Requirements Engineering
- Overview of AI tools available to product teams
- Exploring the significance of requirements in Agile and Scrum frameworks
- Assessing the advantages and constraints of using AI for requirement capture
Collecting and Organizing Requirements with AI
- AI-driven interview simulations: converting verbal feedback into formal requirements
- Techniques for using prompts to clarify vague statements
- Categorizing requirements into themes and features
Creation of User Stories and Epics
- Converting plain text descriptions into executable user stories
- Leveraging AI to pinpoint actors, actions, and objectives
- Building epics and story hierarchies based on AI recommendations
Drafting Acceptance Criteria and Edge Cases
- Producing testable Given-When-Then criteria
- Detecting exception paths and boundary conditions with AI support
- Evaluating AI-generated outputs for clarity and completeness
Refinement and Story Grooming using AI
- Summarizing insights from stakeholder meetings and notes
- Splitting and merging stories guided by prompt engineering
- Streamlining backlog refinement with AI assistance
Collaboration and Handover
- Distributing AI-generated stories to development teams
- Maintaining traceability from features to test cases
- Creating documentation for stakeholder approval
Wrap-up and Future Directions
Requirements
- Foundational knowledge of software project lifecycles
- Familiarity with Agile or Scrum methodologies
- No prior technical expertise required
Intended 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
