Formation ISTQB GENE IA très intéressante et bien structurée. Le contenu est clair et permet de comprendre les concepts clés liés à l’intelligence artificielle dans le testing. Très satisfait de l’expérience.


ISTQB Generative AI Training

The ISTQB Generative AI Training enables QA professionals and IT specialists to master advanced testing techniques for generative AI systems. This training covers the full process of verification and validation of AI models, including bias detection, robustness evaluation, and performance testing, aligned with ISTQB best practices.
- Reference : 1544
- Next session : July 4, 2026
- Duration : 3 Days
- location : Hybrid , Casablanca
- Visitors : 1248

What you will learn
- Master the 7 fundamental software testing principles according to the ISTQB syllabus
- Apply static and dynamic test design techniques
- Design and execute effective test cases for different types of software
- Understand and use the test levels: unit, integration, system and acceptance
- Identify, classify and track defects throughout the software lifecycle
- Pass the ISTQB Foundation Level exam on the first attempt
About this course
ISTQB Generative AI Training — What you need to know
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ISTQB Generative AI Training
With the rapid adoption of generative artificial intelligence in modern applications, organizations must evolve their software testing and quality assurance practices to ensure system reliability, accuracy, and compliance.
The ISTQB Generative AI Training is designed to provide a comprehensive understanding of the challenges related to testing AI-based systems, including large language models, image generation systems, and other generative applications.
During this training, participants will learn to:
• Understand the fundamentals of generative AI models (LLMs, GANs, diffusion models)
• Identify and analyze risks specific to AI-based systems
• Design and implement test strategies for generative AI systems
• Validate model outputs for accuracy, consistency, and relevance
• Detect bias, hallucinations, and unexpected behaviors
• Apply ethical and responsible AI testing practices
• Implement manual and automated testing approaches for AI systems
Who is this course for?
Target profiles and expected levels
Testers and QA engineers looking to validate their skills with a certification
Developers looking to integrate testing practices into their development cycle
IT project managers involved in setting up effective testing strategies
Business analysts looking to understand software testing challenges and methods
Quality managers looking for a common framework to harmonise QA practices
Anyone starting out or looking to formalise their software testing knowledge
Course Program
Generative AI Fundamentals and ISTQB Concepts
1 modules- 01Generative AI Fundamentals and ISTQB ConceptsIntroduction to generative AI systems and language models Model architectures: LLMs, GANs, Diffusion Models, Transformers Training data, dataset bias , and impact on testing Challenges of testing AI-based systems Differences between traditional testing and AI testing Functional and non-functional testing applied to AI systems Introduction to ISTQB testing techniques for AI
Why Choose Our Course?
What sets us apart from other training centers
Official ISTQB preparatory training recognised in over 100 countries
Practical exercises based on real software projects adapted to the professional context
ISTQB-certified trainers with significant software industry experience
High certification rate thanks to structured preparation and mock exams
Small group setting to encourage interaction and personalised learning
Access to training materials and online exercises after the training
Our Next Sessions
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What our learners say
Excellente formation avec un bon équilibre entre théorie et cas pratiques. Les explications sont simples et adaptées, même pour les personnes qui découvrent l’IA. Je recommande vivement.
Formation de qualité avec un formateur compétent et pédagogue. Le programme ISTQB GENE IA est bien couvert et les exemples concrets facilitent la compréhension. Très bonne expérience globale








