Training in AI-Powered Requirements Management
Celeris provides training in how to apply Generative AI in requirements management. Our courses show how AI can be used to improve the quality, clarity, and consistency of requirements, with practical methods that apply across IBM DOORS Next and other requirements management systems.
AI-Powered Requirements Management
The training is intended for requirements engineers, analysts, and system engineers working with IBM DOORS Next or other requirements management systems. The course is tailored to DOORS Next, but methods and skills are transferable to any repository (Jama, Polarion, Excel, even Word).
Content
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How Generative AI (ChatGPT, Copilot, etc.) can improve the quality, clarity, and consistency of requirements across the lifecycle
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Prompting techniques tailored to requirements quality (INCOSE, ISO, Agile/SAFe)
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Applying AI inside DOORS Next and in external workflows (copy-pasting artifacts, extracting modules, experimenting with AI-powered rewriting, analyzing, and test generation)
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Hands-on practice with DOORS Next-like artifacts, using AI feedback
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Advanced integrations (widgets, plugins like AI Analyzer, AI Writer, AI Split and Merge, AI Guiding, AI Test Case Generator) that bring AI directly into the RM toolchain
Duration
1 day (online)
Prerequisites
Mandatory:
None
Useful:
Basic knowledge of requirements management concepts
Familiarity with IBM DOORS Next or similar RM systems (e.g. Jama, Polarion, Excel, Word)
Type of Training
Online workshop
