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ISTQB® CT-GenAI - Testing with Generative AI

A prompt that returns usable test cases looks different from one that returns plausible nonsense, and the difference can be taught. The tecnovy CT-GenAI training spends 365 of its 815 minutes of instruction on prompt engineering for testing. The syllabus prescribes 24 hands-on units to go with it, 17 of which you solve yourself and 7 you are shown; the examination at the end is still purely written, with no practical part.
Attendance certificate4.8/5 on ProvenExpert

What this module delivers.

CT-GenAI makes generative AI usable and controllable in testing. In the tecnovy training you design prompts for test analysis and test implementation, score their output with metrics, and catch hallucinations before they reach your test cases.

How the training runs

Method
17 exercises solved yourself, 7 demonstrated
Basis
Official ISTQB syllabus 1.1
Outcome
40 questions, 30 of 46 points, exam booked separately

Dates & booking

Choose a date that fits

3 dates

  • EUREuro
  • USDUS Dollar
  • CHFSwiss Franc

Sessions with this symbol offer up to 25% group discount. Click “Details & Registration” to learn more.

21–22 Sep 2026CEST
Mon–Tue 09:00–17:00
Online training Group Discount
Time zone CEST
Language English
Trainer Dan Bucureanu
Seats 5+ seats
10% Earlybird Discount

1,730 $−173 $1,557 $

excl. VAT
05–06 Oct 2026CEST
Mon–Tue 09:00–17:00
Online training Group Discount
Time zone CEST
Language English
Trainer Dan Bucureanu
Seats 5+ seats
10% Earlybird Discount

1,730 $−173 $1,557 $

excl. VAT
16–17 Nov 2026CET
Mon–Tue 09:00–17:00
Online training Group Discount
Time zone CET
Language English
Trainer Dan Bucureanu
Seats 5+ seats
10% Earlybird Discount

1,730 $−173 $1,557 $

excl. VAT

Fit

Who this module is designed for

Typical roles

  • You write test cases and want to use a language model without taking its output on trust.
  • You are accountable for which project data a language model gets to see at all.
  • You help decide whether and how generative AI enters your test process.

Prerequisites

Formal prerequisites

  • For exam admission: the ISTQB Certified Tester Foundation Level certificate. The syllabus states this as a requirement, not a recommendation.

Consider instead CT-AI Covers testing AI-based systems, where CT-GenAI puts generative AI to work in testing.

Curriculum

ISTQB CT-GenAI Course in Detail

Syllabus 1.1 splits CT-GenAI into five chapters across at least 13.6 hours of instruction. It runs from the model types through prompt engineering and the risks to infrastructure and team adoption. Almost half the time goes to a single chapter.

01Introduction to Generative AI for Software Testing

This chapter sorts out the terms before anybody writes a prompt.

  • The AI spectrum from symbolic AI through classic ML and deep learning to generative AI
  • Foundation, instruction-tuned and reasoning LLMs compared
  • Multimodal LLMs and vision-language models
  • Which LLM capabilities actually matter for testing tasks
02Prompt Engineering for Effective Software Testing

The dominant chapter: this is where usable parts company with plausible.

  • Prompt structure, system prompt against user prompt, and the core techniques in testing
  • Test analysis, test design and test implementation with generative AI
  • Automated regression testing, plus test monitoring and test control
  • Metrics for scoring the output, and the iterative refinement of prompts
03Managing Risks of Generative AI in Software Testing

The part that stops the time saved from being paid for twice later.

  • Spotting and mitigating hallucinations, reasoning errors and bias
  • Getting non-deterministic language model behaviour under control
  • Data protection and security gaps, and the strategies against them
  • Energy use, AI regulation, standards and best-practice frameworks
04LLM-Powered Test Infrastructure for Software Testing

Where single prompts turn into infrastructure a team can actually operate.

  • The architecture components and concepts of an LLM-powered test infrastructure
  • Retrieval-augmented generation
  • LLM-powered agents in the automation of test processes
  • Fine-tuning for testing tasks, and LLMOps in operation
05Deploying and Integrating Generative AI in Test Organizations

To close, the question of how any of this lands with a team.

  • The risks of shadow AI and the key points of an AI strategy
  • Selecting LLMs and SLMs for testing tasks, and the phases of adoption
  • Which skills testing with generative AI actually demands
  • Building those skills in the test team and evolving the test processes
Official syllabus(external link)

Outcome

What you will be able to do afterwards

  1. 01

    You tell foundation, instruction-tuned and reasoning LLMs apart, and choose on that basis.

  2. 02

    You build prompts from a system and a user part for test analysis, design and implementation.

  3. 03

    You score a prompt's output against metrics and refine it iteratively.

  4. 04

    You put generative AI to work in automated regression testing and in test monitoring.

  5. 05

    You recognise hallucinations, reasoning errors and bias, and mitigate them deliberately.

  6. 06

    You judge the data protection and security gaps in using language models for testing.

  7. 07

    You place retrieval-augmented generation and LLM-powered agents inside a test infrastructure.

  8. 08

    You recognise the risks of shadow AI and plan the roll-out within a test team.

Certified Tester Testing with Generative AI

Once you pass, you receive the official ISTQB certificate at Specialist Level. It is valid for life and never needs renewing.

Certification terms istqb.org ↗

Examination

ISTQB CT-GenAI examination

40Questions

Working time
60 min
Pass mark
30 / 46
Format
Multiple Choice
Conditions
Closed Book

The examination is administered by our exam partners iSQI and Brightest, not by tecnovy. The syllabus's 24 hands-on units are compulsory in the course but explicitly not examinable. If you do not sit the exam in your native language you can apply for 25 percent more time; the application has to be in at least one week before the exam date.

Official examination rules istqb.org ↗

Proof of attendance

Certificate of participation

≥80%attendance

The tecnovy certificate of participation records your attendance of the CT-GenAI training, not a passed ISTQB examination.

Sample of the tecnovy certificate of participation Open the Certificate Showroom tecnovy →

Offer scope

What the course price does not cover

Not included

  • Fee for the ISTQB certification examinationThe exam fee is charged by the exam partner, not by tecnovy: CHF 220 excl. VAT, around EUR 235. The euro amount is converted at the daily rate and shown in the booking step.

Trainers

Dan Bucureanu

Dan Bucureanu

Trainer & Coach

Why tecnovy

What you get on top with us

01

Certification Guarantee

We have an impressive pass rate on the certification exam, so we're pretty confident you'll pass the exam on the first try. However, we're giving you the 2nd try for free. Promised!

02

Certificate Showroom

Get your certificate of participation and, if you have one, add your exam certificate from E-Learning. Fully automated, beautifully designed. Just for you, only at tecnovy.

03

Flexible Date Change

If you are not able to attend the course, you can rebook your training free of charge up to one week before the start of the training.

04

Attend Twice, Pay Once

You are welcome to visit the training course online again within a year as a refresher or exam preparation.

05

No Slideshow, Hands-On!

Promised: no PowerPoint marathon. We work in groups, tie theory to practice, and you get real project examples from our experienced trainers plus the exchange with like-minded people.

06

Learn from Experts

We always guarantee you the use of didactically and methodically first-class qualified trainers who draw their knowledge from training experience as well as professional practical and project experience.

FAQs

Frequently asked questions

01What is the difference between CT-GenAI and CT-AI?
CT-GenAI uses generative AI in testing; CT-AI tests AI-based systems. ISTQB drew the line itself: with CT-AI 2.0 the chapter on testing with AI was removed entirely and moved into CT-GenAI. Both modules require CTFL, and neither requires the other.
02What do I need in order to sit the CT-GenAI examination?
The ISTQB Certified Tester Foundation Level certificate, and nothing else. The syllabus states it as a requirement: the Foundation Level certificate has to be obtained before the CT-GenAI exam. On the subject itself the course starts at the beginning, because chapter 1 introduces the AI spectrum and the model types from scratch.
03How is the CT-GenAI examination structured?
The CT-GenAI exam is 40 multiple-choice questions in 60 minutes, and you pass from 30 of 46 points. There is no practical component: the syllabus explicitly excludes the course exercises from the examination.
04Is the examination part of the tecnovy CT-GenAI training?
No. The tecnovy CT-GenAI training prepares you for the examination, which is administered by our exam partners iSQI and Brightest. You add it during registration; it is not part of the seminar price.
05How hands-on is the CT-GenAI training really?
The syllabus prescribes 24 hands-on units: you solve 17 of them yourself during the course, and the trainer demonstrates the remaining 7. Running the exercises in class is not a provider extra; it is a condition of ISTQB accreditation.
06Does CT-GenAI teach me one particular AI tool?
No. The syllabus is vendor-neutral and instead covers how you select models for your testing tasks and what drives that choice. The tecnovy CT-GenAI training therefore teaches no single product, but the techniques that carry across all of them.
07Why does the CT-GenAI training run for two days?
Because the syllabus sets a minimum of 13.6 hours of instruction for accredited courses, that is 815 minutes across five chapters. Almost half of it goes to prompt engineering alone. The tecnovy CT-GenAI training gives that two days.

What does your training at tecnovy look like?

CT-GenAICT-GenAI - Testing with Generative AI

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