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[NEW] ISTQB CT-AI (AI Testing) – Exam Preparation 2026

Name: [NEW] ISTQB CT-AI (AI Testing) – Exam Preparation 2026
Availability: InStock
Rating: 1 (37 reviews)
Author: Certification Interview Academy

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ISTQB CT-AI (AI Testing)– 6 Practice Exams with Detailed Explanations for Every Question and Option

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(37) Ratings

0 students

IT & Software

Created by Certification Interview Academy

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What you'll learn

Understand AI and machine learning fundamentals, terminology, model types, and AI lifecycle stages.
Evaluate data quality, labeling accuracy, and potential bias in AI training and testing datasets.
Design effective test strategies for AI-based systems and machine learning pipelines.
Create representative and adversarial test datasets to validate AI model behavior.

This course includes:

240 questions on-demand video

0 articles

0 downloadable resources

0 lessons

Full lifetime access

Access on mobile and TV

Certificate of completion

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Course content

Requirements

Basic understanding of software testing concepts is helpful but not mandatory.

Description

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Prepare for the ISTQB® Certified Tester – AI Testing (CT-AI) certification with this comprehensive practice exam course designed to help you understand the fundamentals, techniques, and challenges of testing AI-based systems.

Artificial Intelligence and Machine Learning are transforming software development and testing. Testing AI-based applications requires specialized knowledge of data quality, machine learning models, model performance, test automation, ethical considerations, and AI-related risks.

This course provides 6 practice exams with detailed explanations to help you assess your knowledge, strengthen your understanding, and prepare for the ISTQB CT-AI certification examination.

What You Will Learn

Through these practice exams, you will explore:

AI Fundamentals for Testers: Understand AI and machine learning terminology, model types, lifecycle stages, data quality, data labeling, and bias.
Test Design for AI Systems: Learn about testing strategies for machine learning pipelines, representative datasets, adversarial testing, model performance metrics, and model drift.
AI-Specific Test Automation and Tooling: Understand AI testing automation frameworks, monitoring, logging, observability, synthetic data generation, and explainability tools.
Ethical, Legal, and Risk Aspects: Explore AI bias detection, regulatory compliance, risk assessment, impact analysis, and accountability.

Course Highlights

6 comprehensive ISTQB CT-AI practice exams.
Detailed explanations for correct and incorrect answer options.
Questions covering all major CT-AI exam domains.
Scenario-based questions to develop practical understanding.
Opportunities to identify knowledge gaps and improve weak areas.
Practice with AI testing concepts, terminology, and techniques.
Self-assessment to track your exam preparation progress.

ISTQB CT-AI Exam Information

Certification: ISTQB Certified Tester – AI Testing (CT-AI)
Total Questions: 40
Exam Duration: 60 minutes
Passing Score: 29 points

Who Should Take This Course?

This course is suitable for software testers, QA engineers, test automation professionals, AI and machine learning practitioners, software developers, test managers, and anyone preparing for the ISTQB CT-AI certification.

Whether you are expanding your software testing knowledge or preparing for the ISTQB AI Testing examination, these practice exams provide an opportunity to review important concepts and evaluate your readiness.

Enroll today and strengthen your understanding of AI testing with 6 practice exams and detailed explanations.

Courze

Who this course is for:

Software Testers: Professionals who want to expand their testing knowledge to include AI-based systems and machine learning applications
QA Engineers: Quality assurance professionals interested in evaluating AI system quality, reliability, performance, and behavior.
Manual Testers: Manual software testers who want to understand AI-specific testing techniques and explore new testing approaches.
Automation Test Engineers: Test automation professionals interested in AI testing frameworks, synthetic data generation, and AI behavior monitoring.
ISTQB Certification Candidates: Individuals preparing for the ISTQB Certified Tester – AI Testing (CT-AI) certification examination.
Software Testing Beginners: Beginners interested in learning the fundamentals of AI testing and building knowledge of emerging software testing practices.
AI and Machine Learning Professionals: AI/ML practitioners who want to understand testing methodologies, model validation, data quality, and model drift.
Test Managers and QA Leads: Testing leaders who want to understand AI testing strategies, risk assessment, quality characteristics, and ethical considerations.
IT Professionals: Software developers, business analysts, and IT professionals interested in understanding how AI-based applications are tested.
Exam Preparation Learners: Students and professionals looking for structured ISTQB CT-AI practice questions to assess their knowledge and prepare for the certification exam.