ISTQB CT-AI Certified Tester AI Testing | Complete Prep

Pass the ISTQB Certified Tester AI Testing (CT-AI) exam with confidence — 150+ practice questions, role-play scenarios, and complete syllabus coverage, created by an MSc AI professional with 15+ years in software testing.

This is the most practical ISTQB CT-AI preparation course on Udemy — built by Anup Naik (MSc in Artificial Intelligence, 15+ years in software testing) — combining focused lessons, 150+ exam-style practice questions, unique AI-powered role-play scenarios, and full ISTQB Certified Tester AI Testing syllabus coverage.

If you are preparing for the ISTQB CT-AI certification exam and need comprehensive preparation that goes beyond theory into real-world AI testing skills, this course is for you.

What Makes This Course Unique

This is the only ISTQB CT-AI course on Udemy that combines:

• 150+ exam-style practice questions with difficulty levels (easy / medium / hard) and detailed explanations

• AI-powered role-play scenarios simulating real-world AI testing projects and interview situations — found in no other CT-AI course

• Performance analytics and topic-wise scoring to identify your weak areas before exam day

• Complete ISTQB CT-AI syllabus alignment — every topic covered, nothing skipped

• Created by a professional with an MSc in Artificial Intelligence and 15+ years in software testing — not a generalist instructor

What You Will Learn

• Metamorphic testing, concept drift, and test oracle problems — the most exam-critical CT-AI topics

• Adversarial attacks, bias detection, and explainability in AI-based systems

• Neural network coverage criteria and ML-specific testing approaches

• How to test AI-based systems across the full lifecycle — from data preparation to deployment

• AI-specific quality characteristics, risks, and ethical considerations

• Practical strategies for AI QA: test environments, performance metrics, and defect detection

• Role-play activities to simulate real AI testing projects and sharpen your interview readiness

Full ISTQB CT-AI Syllabus Coverage

• Introduction to AI and ML fundamentals for testers

• Quality characteristics of AI-based systems

• ML data, metrics, and neural network testing

• Testing AI-specific quality characteristics

• Methods and techniques for AI system testing

• Test environments for AI-based systems

• Using AI tools for testing and automation

Practice Tests & Exam Preparation

• 150+ ISTQB CT-AI exam-style questions with detailed explanations

• Difficulty mapped across easy, medium, and hard — mirroring real exam distribution

• Performance analytics and topic-wise scoring to track your readiness

• Time management insights for CT-AI exam conditions

• In-depth feedback with every practice test so you learn from every question

Who Should Enroll

• QA testers, engineers, and automation specialists preparing for the ISTQB CT-AI certification exam

• Software testing professionals moving into AI and ML testing roles

• Team leads, managers, and tech leads seeking structured AI QA expertise

• Anyone who wants to pass the ISTQB Certified Tester AI Testing exam on their first attempt

Key Benefits

• Fully aligned with the ISTQB CT-AI syllabus — updated for 2026

• Role-play activities for job-ready AI testing skills unavailable anywhere else on Udemy

• Lifetime updates as the CT-AI syllabus evolves

• Builds both exam confidence and real-world AI testing 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.

This course integrates Artificial Intelligence under the guidance of an experienced professional with extensive expertise in the subject matter.