[100% Off] Istqb Ct-Ai : Certified Tester Ai Testing Crash Course
Prepare for ISTQB CT-AI Certification with complete AI Testing concepts, practice questions & exam readiness tips.
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.Artificial Intelligence (AI) and Machine Learning (ML) are transforming how software is built and tested. The ISTQB Certified Tester – AI Testing (CT-AI) certification validates your ability to apply structured testing approaches to AI-driven systems. This course is designed to give you the knowledge, practice, and confidence to pass the ISTQB CT-AI exam in 2025 and advance your career in software testing.
Created by Anup Naik (MSc in Artificial Intelligence, 15+ years in software testing), this crash course blends focused lessons, role-play scenarios, and realistic practice tests to prepare you for both the exam and real-world AI QA challenges.What You’ll Learn
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Core CT-AI concepts: metamorphic testing, concept drift, test oracle problems, bias, adversarial attacks, explainability , neural network coverage
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How to test AI-based systems across the lifecycle – from data preparation to deployment
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AI-specific quality characteristics, risks, and ethical considerations
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Practical strategies for AI QA: test environments, performance metrics, defect detection
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Role-play activities to simulate real-world AI testing projects and interview scenarios
Syllabus Coverage (aligned with ISTQB CT-AI 2025):
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Introduction to AI and ML fundamentals
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Quality characteristics of AI-based systems
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ML data, metrics, and neural networks testing
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Testing AI-specific quality characteristics
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Methods and techniques for AI system testing
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Test environments for AI-based systems
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Using AI for testing and automation
Practice Tests and Exam Prep
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150+ exam-style questions with detailed explanations
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Difficulty levels mapped (easy/medium/hard)
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Performance analytics and topic-wise scoring
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Time management insights for exam readiness
Who Should Enroll
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Professionals preparing for the ISTQB CT-AI certification exam
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QA testers, engineers, and automation specialists moving into AI/ML testing
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Team leads, managers, and tech enthusiasts seeking AI QA expertise
Key Benefits
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Fully aligned with ISTQB CT-AI 2025 syllabus
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Role-play activities for job-ready AI testing skills
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Lifetime updates as the syllabus evolves
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In-depth feedback with every practice test
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Builds both exam confidence and career skills
Important Note
Role-play activities work best on laptop or desktop. They are not supported on mobile or tablet devices.
Disclaimer
This is an unofficial course. It is not affiliated with or endorsed by ISTQB or its member boards. The course does not contain actual exam questions or dumps. “ISTQB” is a registered trademark of the International Software Testing Qualifications Board. For official exam details, please visit the ISTQB website.
