Which level is targeted at the end of the training course?

Intermediate

How long does the training course last?

2,00 day(s)

In which language(s) is the training course taught?

EN FR

When will the next session take place?

14.12.2026

See details

Where does the training course take place?

Bertrange

How much does the training course cost?

1800,00€

Who is organising this training course?

Q-Leap is a Luxembourg-based company specializing in software testing and quality assurance, offering services such as test automation, performance testing, accessibility and user experience (UX). It also offers certification training courses, notably accredited by the ISTQB. Q-Leap also develops innovative tools such as Q-Bot and Q-Guard, two software test automation solutions that considerably simplify and improve the entire testing process.

What are the aims or the skills being targeted?

A hands-on training program to apply artificial intelligence to software testing, with real tools and practical use cases. Learn how to integrate generative AI into your software testing processes with our practical training, designed specifically for testing professionals.

Throughout this course, you will explore the fundamentals of AI applied to software testing, adopt industry best practices, and discover concrete tools to automate and optimize your testing workflows.

You will gain essential skills to craft effective prompts, leverage LLMs (Large Language Models), and manage the risks of AI-related errors. You will also learn how to use conversational AI to query models like ChatGPT more efficiently, and how to integrate these technologies into your existing toolchains.

What does the training course cover?

A hands-on training program to apply artificial intelligence to software testing, with real tools and practical use cases.

What topics are addressed?

Introduction to Generative AI for Software Testing : fondamentaux de l’IA générative, différents types d’IA, concepts clés et utilisation de l’IA générative dans les activités de test
Prompt Engineering for Software Testing : rédaction et amélioration de prompts, techniques de prompt engineering, utilisation de textes et d’images comme entrées, évaluation des résultats générés par l’IA
Generative AI for Test Tasks : exploitation des capacités des LLM pour les activités de test logiciel
Managing Risks of Generative AI : hallucinations, erreurs de raisonnement, biais, risques liés à la confidentialité et à la sécurité des données, consommation énergétique et impact environnemental
Regulations & Best Practices : réglementation, normes et frameworks de bonnes pratiques liés à l’utilisation de l’IA générative
LLM-Powered Test Infrastructure : architectures d’infrastructures de test basées sur les LLM, fine-tuning et LLMOps
Deploying & Integrating Generative AI : stratégie et roadmap d’adoption de l’IA générative dans les organisations de test, gestion du changement, sélection des LLM/SLM et phases d’adoption
Certification ISTQB® : préparation et passage de l’examen officiel Testing with Generative AI

What teaching methods are used?

Formation interactive et pratique combinant apports théoriques, démonstrations, exercices et ateliers pratiques. 50 % de la formation est consacrée à la pratique, avec une application continue des concepts à travers des exercices et activités concrètes.

How is the assessment organised?

Our training is ISTQB® certified. This means that participants holding an “ISTQB® Certified Tester Foundation Level” certificate can take the official exam and obtain an internationally recognized certificate upon completion of the training.