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

Intermediate

How long does the training course last?

3,00 day(s)

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

EN FR

When will the next session take place?

21.09.2026

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?

Discover our Certified Tester - Artificial Intelligence training course, designed to help participants master AI-specific testing.

This course provides a comprehensive understanding of current and future AI trends, their implementation across different sectors, and their impact on various industries. It focuses on developing essential skills for testing machine learning models, addressing challenges such as bias and transparency, and learning how to design and execute AI-specific test scenarios.

What does the training course cover?

Training on AI-specific testing, covering AI trends, machine learning model testing, bias and transparency, and the design and execution of AI-specific test scenarios.

What topics are addressed?

Fondamentaux de l’Intelligence Artificielle : tendances actuelles et futures, concepts clés et mise en œuvre de l’IA
IA et Machine Learning : fonctionnement et spécificités des modèles d’apprentissage automatique
Tests des systèmes d’IA : spécificités et défis du testing appliqué à l’intelligence artificielle
Tests des modèles de Machine Learning : conception et exécution de scénarios de tests spécifiques aux modèles ML
Biais et transparence : identification et prise en compte des biais dans les systèmes d’IA
Qualité et validation des systèmes d’IA : enjeux spécifiques liés à la fiabilité et au comportement des modèles
Mise en œuvre de l’IA : applications de l’intelligence artificielle dans différents secteurs et impact sur les activités métier
Préparation à la certification : préparation à l’examen officiel ISTQB® Certified Tester AI Testing

What teaching methods are used?

Formation interactive combinant présentation des concepts, exercices pratiques, échanges et préparation à l’examen, avec un focus sur l’application des principes de test aux systèmes d’IA et de Machine Learning.

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.