ISTQB Certified Tester – AI Testing

AI
ISTQB
Testing

Learn how to test AI-based systems with confidence. In this 3-day course, you’ll gain the skills to evaluate, test, and validate machine learning models, data pipelines, and intelligent behavior—plus prepare for the official ISTQB AI Testing certification.

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Any questions? 

Anja will gladly help you further with any personal or in-company needs you might have.

Anja van Ackern
Training Advisor 

+41 43 288 88 55 anja.vanackern@xebia.com 

Get in touch

What will I learn?

This training provides a comprehensive overview of AI-specific testing challenges. You’ll explore how machine learning differs from traditional systems, how to define test strategies for probabilistic behavior, and how to ensure quality in AI pipelines and training data.

Key takeaways

  1. Understand how AI and machine learning affect testing approaches
  2. Design tests for AI models, data quality, and intelligent systems
  3. Identify bias, explainability, and non-determinism challenges
  4. Prepare for the ISTQB Certified Tester – AI Testing exam

Program

The training includes a mix of lectures, real-world examples, and hands-on group work. You’ll work through case studies involving AI systems, assess testing strategies, and reflect on risks and quality criteria unique to machine learning and neural networks.

  • Introduction to AI, machine learning, and neural networks
  • Differences between rule-based vs. learning-based systems
  • Quality attributes of AI systems: bias, robustness, explainability
  • Testing approaches for AI: black-box, white-box, model-based
  • Test strategies for supervised and unsupervised learning
  • Data validation, test oracles, labeling, and ground truth challenges
  • Risk-based testing for AI systems
  • Testing AI in production and continuous validation
  • Sample exam questions and certification preparation
  • Final Q&A and discussion

Who is it for?

Ideal for testers, test managers, QA engineers, data scientists, and product owners working on or around AI-based software systems and machine learning pipelines.

Requirements

ISTQB Foundation Level certificate recommended

Basic understanding of AI or machine learning concepts is helpful

Familiarity with software testing and QA processes

Why should I follow this training?

Get ready for AI-driven QA

Learn to test non-deterministic, data-driven system

Understand AI-specific risks

Tackle bias, fairness, and explainability in ML pipelines

Become ISTQB AI-certified

Prepare for the official AI Testing certification exam

Exam and Certification

This course prepares you for the ISTQB Certified Tester – AI Testing exam. The exam is multiple choice and can be taken online through an accredited provider. Certification is internationally recognized.

What else
should I know?

After registration, you’ll receive a confirmation email with practical details. A week before the course, we’ll ask about dietary requirements.
Exam fee is not included unless otherwise stated.
See you soon!

Course information

Three-day training in AI/ML testing and quality assurance

Lunch is included

Travel and accommodation expenses are not included

Certification is included and globally recognized

Register

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