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AI4RE – artificial intelligence in requirements engineering

Based on the current IREB® curriculum.

Artificial intelligence – especially large language models (LLMs) – is changing the way requirements are gathered, documented, validated and managed. But where does AI actually provide benefits in requirements engineering (RE), where are its limitations, and what risks need to be considered?

In this practice-oriented one-day course, you will learn how AI can be used responsibly and purposefully in requirements engineering. You will develop a sound understanding of modern AI concepts, learn about the functioning and special features of LLMs, and discover how AI can meaningfully support RE activities throughout the entire life cycle. The course combines theoretical fundamentals with concrete application examples, best practices for prompt engineering, and aspects of AI governance and compliance.

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Objectives

  • Explain and classify the fundamental concepts of modern AI in requirements engineering
  • Realistically assess the capabilities, limitations and typical risks of large language models (LLMs)
  • Formulate targeted prompts and critically review, validate and improve AI results
  • Identify and address risks, responsibilities and regulatory aspects (e.g. hallucinations, bias, data protection, confidentiality, human-in-the-loop)
  • Evaluate typical application scenarios for AI in requirements engineering and use them in context
  • Preparation for AI4RE Micro Credential from IREB

Target groups:

Business Analyst, Requirements Engineer, Product Owner, Scrum Master, Project Manager, Project Director, Test Manager, Tester, Enterprise Architect, System/Software Architect, UX/Usability Expert, Demand-/Portfolio-Manages and anyone who wants to use AI in a practical and responsible manner in the real estate sector.

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Completion / Online Assessment

The training is based on the current IREB AI4RE curriculum and supports you in optionally acquiring an AI4RE Micro-Credential (digital micro-badge). A voluntary online assessment is available for this purpose.

Notes:

The online assessment is in multiple-choice format (approx. 30 minutes, approx. 25 questions, non-proctored). There is an additional fee for the micro-credential. Details on the process, providers and costs can be found on our certification overview page.

Syllabus

1. AI basics for requirements engineering

  • What is AI – and what is it not?
  • Overview of AI technologies in the context of RE (NLP, vision, ML, expert systems)
  • Realistic applications and limitations of AI in RE

2. Understanding Large Language Models (LLMs)

  • Fundamental concepts of LLMs
  • Core mechanism: prediction rather than understanding
  • Probabilistic generation and its consequences for RE artefacts

3. Prompt engineering in requirements engineering

  • Significance and structure of context
  • Using context correctly (roles, objectives, quality criteria)
  • Prompting patterns and techniques for typical RE tasks

4. Risks and responsibilities

  • Typical risks when using LLMs in RE (e.g. hallucination, bias)
  • Data protection, confidentiality and compliance
  • AI governance and Human-in-the-lopp

5. Use cases for AI in requirements engineering

  • Requirements gathering: exploration, interview guides, transcription
  • Documentation: formulation, consistency checks, glossaries
  • Validation: detection of contradictions, ambiguities and quality defects
  • Requirements management: attributes, prioritisation and change support

Advising after course completion:

  • Requirements Elicitation

    At the end of the course, it is possible to obtain the CPRE AL Requirements Elicitation – Practitioner certificate of IREB.

  • REQUIREMENTS MODELING

    At the end of the course, it is possible to obtain the CPRE AL Requirements Modeling – Practitioner certificate of IREB.

  • Requirements Management

    At the end of the course, it is possible to obtain the CPRE AL Requirements Management – Practitioner certificate of IREB.

  • @Primer

    At the end of the course, it is possible to obtain the CPRE-FL RE@Agile Primer certificate of IREB.

  • @Agile

    At the end of the course, it is possible to obtain the CPRE AL RE@Agile – Practitioner certificate of IREB.

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