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ISTQB AI Tester: 5 Practice Exams
Udemy MOOC / Non-credit 0

ISTQB AI Tester: 5 Practice Exams

About this course

Prepare for the ISTQB Certified Tester AI Testing exam with five focused practice tests designed around the CT-AI v2.0 syllabus. This course is built for software testers, QA engineers, test managers, automation engineers, developers, and aspiring AI testers who want realistic exam-style practice before taking the certification exam.Across 200 original questions, you will practise the key topics from the AI Testing syllabus, including the foundations of AI-based systems, AI quality characteristics, machine learning workflows, data preparation, ML performance metrics, neural networks, test oracles, statistical testing, generative AI testing, red teaming, data pipeline testing, bias testing, model testing, adversarial testing, metamorphic testing, drift, A/B testing, back-to-back testing, and ML deployment testing.Each practice test is structured to mirror the style and coverage of the official sample exam. Questions include single-answer and multi-select formats, with detailed explanations to help you understand why the correct answer is right and why the other options are not the best choice. The goal is not only to memorize terms, but to strengthen your ability to apply ISTQB concepts to realistic AI testing scenarios.Use these tests to identify weak areas, revise important syllabus sections, improve your timing, and build confidence for the real exam. For the best result, take each practice test under exam-like conditions, review every explanation carefully, and revisit the syllabus topics connected to questions you miss.

B

69/100

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What you'll learn

  • understand key topics from the AI Testing syllabus
  • apply ISTQB concepts to real-world AI testing scenarios
  • identify weak areas and revise important syllabus sections
  • improve timing and build confidence before the actual exam

Course objectives

  • provide realistic exam-style practice
  • enhance understanding of AI quality characteristics and testing methods
Machine Learning Artificial Intelligence #machine learning #neural networks #data preparation #red teaming #ISTQB #adversarial testing #statistical testing #AI testing #test oracles #bias testing #ml performance metrics #generative ai testing #ml deployment testing
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