Last week I participated at a training about # IREB . Next week I want to do the certification exa
google training
| Source: Mastodon | Original article
A software engineer who recently completed an IREB Foundation Level training turned to Google’s Notebook LM to turn the 180‑page official syllabus into a set of practice quizzes and flashcards. The AI‑driven notebook parsed the dense requirements‑engineering material, generated multiple‑choice questions and spaced‑repetition cards, and delivered them in a format the candidate could review on a laptop or phone. The self‑created study set, the engineer says, “are really good and help” in the final weeks before the supervised, time‑boxed CPRE‑FL exam administered by iSQI.
The experiment highlights a growing trend in the Nordic tech community: leveraging generative AI to streamline professional certification prep. Traditional courses from providers such as IREB‑CPRE, ISTQB and Agile trainers often rely on static slide decks and printed workbooks, which can be time‑consuming to digest. Notebook LM’s ability to extract key concepts, formulate plausible distractors and organize them into adaptive quizzes cuts preparation time and may raise pass rates, especially for busy developers juggling project work.
Industry observers note that certification bodies have not yet formalised rules for AI‑assisted study aids, but the IREB board has expressed interest in how digital tools affect candidate performance. If AI‑generated content proves reliable, training firms could embed similar capabilities into their platforms, offering personalised learning paths at scale. Conversely, exam administrators may tighten supervision protocols to guard against inadvertent leakage of AI‑crafted questions.
Watch for announcements from IREB and iSQI in the coming months regarding policy updates on AI‑supported preparation. Meanwhile, training companies such as Trendig and Serview are already marketing AI‑enhanced modules, suggesting that the next wave of requirements‑engineering education will be shaped as much by machine learning as by human expertise.
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