Practical AI course for requirements engineers

Date guarantee
More than 4 places free
4 or less places free
waiting list

These training dates don’t fit your schedule?

Practical AI Course for Requirements Engineers

Artificial Intelligence is no longer confined to labs—it’s at every desk, and Requirements Engineering (RE) is no exception. This one-day hands-on extension course is designed for professionals with CPRE-Foundation Level knowledge who want to integrate GenAI into their RE toolkit responsibly and effectively.

You’ll explore how Large Language Models (LLMs) like ChatGPT can accelerate stakeholder communication, improve clarity, and generate or critique textual and model-based requirements. With live demos and practical exercises drawn from real-world fragments—like fuzzy emails, policy snippets, or half-finished diagrams—you’ll develop the skills to use GenAI with precision and purpose.

By day’s end, every participant will walk away with a prompt “toolkit,” a set of quality guardrails, and a pragmatic view of LLMs’ limitations and ethical concerns in professional settings.

Book your training now

content & syllabus

Chapter 1 – Fundamentals of GenAI and Prompt Engineering

Understand what GenAI is and isn’t—no jargon, just practical models
Learn the basics of prompting and how LLMs work
5 demos/hands-on exercises
🛠 Outcome: Robust mental model of LLM behavior and basic prompting patterns

Chapter 2: Prompt Engineering As Applied to Requirements Engineering

Discover structured prompting techniques by trying out various reusable patterns
Use GenAI for RE-specific scenarios: empathy mapping, devil’s advocacy, conflict resolution
8 exercises
🛠 Outcome: Prompts that think critically, not blindly follow

Chapter 3 – GenAI and Requirements in Natural Language

Translate vague requirements into clear, testable text
Practise phrase templates and glossary building
5 exercises
🛠 Outcome: AI that improves clarity, and does not create confusion

Chapter 4 – GenAI and Requirements as Models

Generate diagrams from prompts using PlantUML or Mermaid (Use Case, Class, Activity, State)
Evaluate which model adds the most value
5 exercises
🛠 Outcome: Modelling that’s lean, relevant, and iterative

Chapter 5 – GenAI and Quality Characteristics & Constraints in Requirements

Turn “fast,” “secure,” “intuitive” into measurable, auditable clauses
Apply standards like OWASP and ISO 25010 in GenAI prompts
Add a GDPR constraint check as a practical bonus
4 exercises
🛠 Outcome: AI as a partner in quality, not an exaggerator

Chapter 6 – The Road Ahead

Discuss hallucinations, outdated data, client confidentiality, and GenAI’s limits
Learn to scope internal GenAI pilots with a stepwise adoption plan
Demos and checklists included
🛠 Outcome: Realistic roadmap for GenAI adoption in your RE practice

target group

Certified Requirements Engineers (CPRE-FL or equivalent)
Software Testers and Developers involved in specifications
IT/Project Managers evaluating GenAI capabilities
System Analysts and Quality Managers focused on traceable, ethical RE

prerequisites

CPRE‑FL knowledge or equivalent industry experience
Laptop with web access to ChatGPT Plus
A willingness to experiment—typos, false starts, laughter included

exam & certification

This is a practical extension course and does not include an exam.

Participants receive a course completion certificate and a ready-to-use prompt toolkit for their professional work. For IREB-recognized certification, please refer to the CPRE-FL or Advanced Level exams.

benefits and discounts

We know that you can learn best when you feel comfortable and when we meet as many of your expectations as possible. That's why you not only get a first-class training, but also a wide range of training and certification services. Read more about the benefits of training with trendig and what is included in our courses here:

all benefits

Book your training now

GenAI-Assisted Requirements Engineering (1 day)