The IREB AI4RE micro-credential builds a structured understanding of how Artificial Intelligence can be applied responsibly in Requirements Engineering.
A focused, single-day microcredential on applying AI tools to requirements engineering work — drafting, quality-checking, and translating between formats — while keeping the discipline's own standards firmly in the driver's seat, not the AI.
If you're already an experienced practitioner in this area, our Advanced-level courses may be a better fit than this Foundation-level course.
What You'll Be Able To Do
AI can draft a requirement in seconds — and sound completely confident while getting it wrong. It can cite a standard that doesn't exist, embed a bias from its training data, or quietly drop a security requirement because the context window overflowed. The real skill is not using AI. It is knowing when to trust it, when to challenge it, and when to fall back on your own engineering judgement.
Differentiate among AI technology types and identify the right one for a given RE task.
Explain what happens behind the scenes of a chatbot, and compare fine-tuning with RAG.
Explain that LLMs are probabilistic text predictors, not reasoning systems.
Apply system and user context to sharpen AI output.
Use prompting patterns (RTF, Chain-of-Thought, CRISPE) and prompting techniques (zero-shot, few-shot, template-based).
Name and recognise the major risk categories of using AI in RE.
Explain the Requirements Engineer's expanded role in AI-supported processes.
Identify where AI can support elicitation, documentation, validation, and requirements management.
Critically evaluate and curate AI-generated requirements, models, and artefacts.
Apply human judgement and validation at every stage of AI-assisted RE work.
Use AI-assisted tools responsibly, transparently, and in line with applicable regulation.
Prepare systematically for the AI4RE micro-credential examination.
How You'll Use This At Work
We're still writing up specific workplace examples for this course — check back soon, or ask your trainer during the course itself.
Curriculum
The five key AI technology families
What happens behind the scenes of a chatbot. The difference between fine-tuning and Retrieval-Augmented Generation (RAG)
How LLMs generate text through probabilistic next-token prediction not reasoning
Why the same prompt can produce different answers
Embeddings and vectors — how “requirement” ends up mathematically closer to “stakeholder need” than to “database schema”
System context vs user context and why missing context produces plausible-sounding but useless output
Prompting patterns - Role-Task-Format (RTF) Chain-of-Thought and CRISPE
Prompting techniques - zero-shot few-shot and template-based prompting
Eleven concrete risk categories
Transparency obligations under regulations such as the EU AI Act
The Requirements Engineer's expanded role in AI
Elicitation
Documentation
Validation
Management
Chatbot · Chain-of-thought · Context window · Deep learning · Embeddings · Expert systems · Fine-tuning · Few-shot / zero-shot learning · Hallucination · Machine learning · Natural language processing · Prompt · Prompt engineering · RAG · Robotics · System prompt · Temperature · Token · Transformer · Vector
How You'll Learn
Course covers Instructor-led sessions, Interactive discussions, Worked examples, Individual and group exercises, Examination preparation.
Live Online
Before You Start
AI4RE is a micro-credential open to anyone involved in Requirements Engineering activities. No prior AI expertise is required.
Certification & Exam
Certification follows a clear three-party structure — each party has a distinct role:
IREB defines the standard
IREB sets the syllabus and quality criteria this course is built against.
Baseline Skills delivers the training
Your instructor teaches the syllabus and prepares you for the exam — training and examination are kept separate for objectivity.
An independent body examines you
The certification exam is administered independently of the training provider, so your result reflects your own knowledge, not the course you happened to take.
Certification exam information (format, fees, retake policy) is provided separately from training details — see the Exams page or ask your trainer for the current details.
What You'll Get With Baseline Skills
Each participant will receive the course material and exam preparation study material.
Upon successful completion of the training, participants will receive a certificate of training completion and a badge.
Your Trainer
Surendra Saxena
Founder, ReqDrive, Baseline Skills
Surendra hold an MBA degree from FMS Delhi University and Masters in Computer Science from IIT Roorkee. He bring over 40 years of experience in handling variety of assignments from software architecture design to large-s…
No. Certification preparation is an important component, but the course also emphasizes practical judgement in AI-supported Requirements Engineering through exercises
Will AI do the Requirements Engineering for me?
No. The course emphasizes human judgement throughout. AI Tools provides AI-assisted analysis, suggestions and perspectives that learners are expected to evaluate critically, never adopt blindly.
Do I need a technical or data-science background?
No. AI4RE is written for Requirements Engineers, Business Analysts, and Product people — not AI engineers. No coding or machine-learning background is required.
Will I learn how to write effective prompts?
Yes. Prompting patterns and techniques are a core module, reinforced through practical exercises.
Will I learn to recognise AI risks like hallucination and bias?
Yes. Risk categories and responsible-use practices are covered in depth, with real-world examples.
Will I learn where AI fits across the RE lifecycle?
Yes. Elicitation, documentation, validation, and management use cases are covered,
