Course : ISTQB® - Testing with Generative AI

ISTQB ® Certification (CT-GenAI)

Practical course - 2d - 14h00 - Ref. IGA
Price : 1920 CHF E.T.

ISTQB® - Testing with Generative AI

ISTQB ® Certification (CT-GenAI)


New course

Cette formation, complémentaire au niveau Foundation, offre aux professionnels du test un parcours pratique pour comprendre comment, quand et pourquoi utiliser les LLM et autres techniques d’IA générative dans le processus de test. Elle enseigne leur intégration responsable tout en maîtrisant les risques clés (hallucinations, biais, sécurité, confidentialité, impact environnemental). Elle prépare également à la certification ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI).


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. IGA
  2d - 14h00
1920 CHF E.T.




Cette formation, complémentaire au niveau Foundation, offre aux professionnels du test un parcours pratique pour comprendre comment, quand et pourquoi utiliser les LLM et autres techniques d’IA générative dans le processus de test. Elle enseigne leur intégration responsable tout en maîtrisant les risques clés (hallucinations, biais, sécurité, confidentialité, impact environnemental). Elle prépare également à la certification ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI).


Teaching objectives
At the end of the training, the participant will be able to:
Understand the fundamental concepts, capabilities and limitations of generative AI
Develop practical skills for using large language models in software testing
Gain a better understanding of the risks and mitigation measures involved in using generative AI for software testing
Be able to contribute effectively to the definition and implementation of a generative AI strategy and roadmap for software testing within an organization.
Prepare for ISTQB Certified Tester - Testing with Generative AI (CT-GenAI) certification

Intended audience
Pour testeurs, ingénieurs QA, développeurs, chefs de projet, responsables qualité/IT, analystes métier et consultants souhaitant maîtriser l’IA générative appliquée aux tests.

Prerequisites
ISTQB® Certified Tester Foundation Level (CTFL) certification.

Certification
The ISTQB® Certified Tester - Testing with Generative AI (CT-GenAI) certification exam is included in the training course, and takes place off-line on the GASQ platform. It consists of a 40-question MCQ (46 points in total) lasting 60 minutes. Candidates whose mother tongue is not the language of the exam, or who are disabled, can benefit from an additional quarter-time, subject to a request made at least 5 days before the test. A minimum of 65% correct answers is required for certification.
Remote certifications
See the certifier’s official documentation for the list of prerequisites for completing the online certification exam.

Course schedule

1
Introduction to generative AI for software testing

  • Foundations and key concepts of generative AI.
  • Using generative AI in software testing: fundamental principles.

2
Prompt engineering for efficient software testing

  • Efficient development of prompts.
  • Application of prompt engineering techniques to software testing tasks.
  • Evaluate results and refine prompts for software testing tasks.

3
Risk management for generative AI in software testing

  • Hallucinations, reasoning errors and bias.
  • Risks linked to the confidentiality and security of generative AI data.
  • Energy consumption and environmental impact of generative AI in software testing.
  • AI regulations, standards and best practice frameworks.

4
Déploiement et intégration de l'IA dans les organisations de test Déploiement et intégration de l'IA générative dans les organisations de test

  • Roadmap for the adoption of generative AI in software testing.
  • Managing change when adopting generative AI.

5
Certification exam preparation

  • Question-and-answer sessions.
  • Sample review.


Dates and locations

Dernières places
Date garantie en présentiel ou à distance
Session garantie
From 30 to 31 March 2026
FR
Remote class
Registration
From 29 to 30 June 2026
FR
Remote class
Registration
From 28 to 29 September 2026
FR
Remote class
Registration
From 14 to 15 December 2026
FR
Remote class
Registration

REMOTE CLASS
2026 : 30 Mar., 29 June, 28 Sep., 14 Dec.