Use AI effectively in Requirements Engineering.
Why this IREB AI4RE is the right course for you.
AI can support many Requirements Engineering activities, but only when you understand how to use it critically and responsibly. This course helps you build that understanding.
- Apply AI to real RE activities
Explore how AI can support requirements elicitation, documentation, analysis, validation, and management. - Understand what happens behind the output
Learn the fundamentals of AI and large language models, including their capabilities, limitations, and probabilistic nature. - Create better prompts and evaluate results
Practise structuring prompts and checking AI-generated outputs for accuracy, relevance, and quality. - Use AI responsibly
Consider risks related to confidentiality, data protection, bias, hallucinations, and overreliance on AI.
IREB AI4RE
Prepare for the IREB AI4RE micro-credential with a structured, self-paced learning program. The course introduces Artificial Intelligence and its practical application in Requirements Engineering, following the official IREB syllabus.
This course is intended for Requirements Engineers, Business Analysts, Product Owners, Product Managers, and Quality Assurance professionals who already have a basic understanding of Requirements Engineering and want to apply AI effectively in their daily work.
E-learning consists of 5 learning modules and knowledge quizzes.
Module 1 AI Basics.
This module provides a structured introduction to fundamental AI concepts and terminology. It explains how modern AI systems operate and examines key concepts such as chatbots, fine-tuning, and Retrieval-Augmented Generation (RAG), with a focus on their relevance to Requirements Engineering.
Module 2 Large Language Models (LLMs).
This module explains the underlying principles of Large Language Models (LLMs). It focuses on their probabilistic and pattern-based behavior and discusses the implications of these characteristics for the effective and responsible use of AI in Requirements Engineering.
Module 3 – Prompt Engineering.
This module introduces core principles and techniques of prompt engineering. Learners develop the skills needed to structure prompts effectively in order to guide AI outputs and improve their usefulness within Requirements Engineering activities.
Module 4 – Risks and Responsibilities of AI in Requirements Engineering.
This module addresses the key risks, limitations, and responsibilities associated with the use of AI in Requirements Engineering. It enables learners to identify potential issues and apply appropriate controls to ensure quality, reliability, and responsible use.
Module 5 – Use Cases for AI in Requirements Engineering.
This module explores practical use cases for applying AI across Requirements Engineering activities, including elicitation, documentation, validation, and requirements management. Emphasis is placed on maintaining human oversight and ensuring that the Requirements Engineer remains accountable for quality and decision-making.
ASSESSMENT FORMAT
Online multiple-choice self-assessment based on the AI4RE syllabus and study guide.
- Question count: 22 multiple-choice questions
- Time limit: 30 minutes (non-native speakers can request an extension to 36 minutes)
- Passing score: At least 80% of the total points
- Test style: Unproctored, online open-book test (notes and books are allowed, but no AI tools or other people)
IREB SELF-ASSESSMENT
The self-assessment is available here.
COST
The micro-credential cost is €98 and it is included in the e-learning price.
If you doubt whether this course is suitable for your team/organization, do not hesitate to contact us. We can explain the details of different certification programs for business analysts and advise you on what can work for your team and your organization.
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