Ai Testing Masterclass: Prep For The Istqb Ct-Ai Exam 2025
Published 9/2025
Created by Anup Techeazyai
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 15 Lectures ( 4h 21m ) | Size: 1.86 GB
AI Crash course with role-play and exam-style practice tests for ISTQB CT-AI 2025 certification.
What you'll learn
Master the entire ISTQB CT-AI syllabus, from fundamental AI concepts to advanced testing techniques.
Understand the critical differences between testing traditional software and complex AI systems.
Apply powerful testing techniques like Metamorphic Testing, Adversarial Testing, and Pairwise Testing.
Confidently prepare for and pass the CT-AI certification exam with our specially curated practice tests
Develop job-ready skills for AI testing roles through unique, AI-powered role-play activities.
Requirements
A foundational understanding of software testing principles and terminology is required.
A desire to learn and future-proof your career in software quality!
Description
Disclaimer: This course integrates Artificial Intelligence under the guidance of an experienced professional with extensive expertise in the subject matter.Prepare for the ISTQB Certified Tester - AI Testing (CT-AI) Exam 2025 with this focused crash course and practice tests. Designed by industry expert Anup (15+ years in software testing, MSc in Artificial Intelligence from John Moores University), this course combines targeted lessons, role-play scenarios, and realistic exam simulations to build your exam confidence and professional skills.You will master critical CT-AI concepts such as metamorphic testing, concept drift, test oracle problems, bias of omission and commission, adversarial attacks, explainability (LIME), and neural network coverage. In addition to theory, you'll gain job-ready expertise through role-play activities that simulate real-world AI testing projects and interview scenarios.This course covers all the major syllabus domains required for the exam, including:Introduction to AIQuality Characteristics for AI-Based SystemsMachine Learning (ML) - OverviewML - DataML Functional Performance MetricsML - Neural Networks and TestingTesting AI-Based Systems OverviewTesting AI-Specific Quality CharacteristicsMethods and Techniques for the Testing of AI-Based SystemsTest Environments for AI-Based SystemsUsing AI for TestingThe course also includes 150+ exam-style questions with detailed explanations, syllabus references, and difficulty alignment (easy/medium/hard). You'll receive performance analytics, topic-wise scoring, and time management insights to strengthen weak areas and optimize your preparation.Who should enroll?Professionals preparing for the ISTQB CT-AI certification exam.QA testers and engineers transitioning to AI/ML testing.Tech leads and managers seeking to validate AI testing expertise.Key BenefitsAligned with the ISTQB CT-AI 2025 syllabus.Covers AI testing fundamentals, strategies, risks, and ethics.Practice tests with in-depth feedback and exam simulation.Additional AI role-play content for job readiness in AI QA.Lifetime updates as the syllabus evolves.Notice:The AI role-play activities included in this course can only be accessed and exercised on a Laptop or Desktop. These features are not supported on mobile or tablet devices.Disclaimer (ISTQB Notice):This is an unofficial course and is not affiliated with, endorsed by, or promoted by ISTQB or its member boards. It does not contain actual exam questions or dumps. References to ISTQB are for educational purposes only. Please visit the official ISTQB website for accurate and up-to-date exam information.ISTQB is a registered trademark of the International Software Testing Qualifications Board.#ISTQB #CTAI #AITesting #ISTQBExamPrep #ISTQBAITester #ISTQBCTAI #SoftwareTesting #QACertification #ISTQBPracticeTests #AIQuality #TestingCertification #ISTQB2025 #AIQA #CrashCourse #ExamReadiness
Who this course is for
Software Testers, QA Engineers, and Test Analysts looking to upgrade their skills.
Test Leads and Test Managers planning to implement AI testing strategies.
Anyone preparing for the official ISTQB Certified Tester AI Testing (CT-AI) certification.
Software Developers who want to understand how to build and test robust AI applications.
Business Analysts and Product Owners involved in defining requirements for AI systems.
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