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Duration 7 hours
Course Outline
Intro to AI in Requirements Engineering
- An overview of AI tools available for product teams.
- Grasping the significance of requirements within Agile and Scrum.
- Exploring the advantages and constraints of employing AI for capturing requirements.
Collecting and Organizing Requirements via AI
- Simulating interviews with AI to convert verbal inputs into formal requirements.
- Applying prompting techniques to resolve ambiguous statements.
- Structuring requirements into distinct themes and features.
Creating User Stories and Epics
- Converting plain text into executable user stories.
- Utilizing AI to pinpoint actors, actions, and goals.
- Building epics and story hierarchies based on AI-generated suggestions.
Drafting Acceptance Criteria and Edge Cases
- Producing testable Given-When-Then criteria.
- Detecting exception paths and boundary conditions with AI support.
- Assessing AI outputs for precision and completeness.
Refining and Grooming Stories with AI
- Condensing stakeholder meeting minutes and notes.
- Splitting and merging stories guided by prompt engineering.
- Streamlining backlog refinement with the help of AI.
Team Collaboration and Handover
- Distributing AI-crafted stories to developers.
- Maintaining traceability from features to test cases.
- Creating documentation for stakeholder approval.
Conclusion and Future Steps
Requirements
- A foundational understanding of software project lifecycles.
- Familiarity with Agile or Scrum frameworks.
- 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
