How To Pass ISTQB CT-AI v2.0 - Exam Strategy, Key Concepts & Preparation Roadmap

21 Oct 2026 07:30 AM CST

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Webinar Overview

Prepare confidently for the ISTQB Certified Tester AI Testing (CT-AI) v2.0 certification.This webinar provides software testers and QA professionals with a structured introduction to the CT-AI v2.0 certification, key AI testing concepts, important syllabus areas, and an effective preparation strategy. Participants will learn how AI-based systems differ from traditional software, how machine learning models are trained and evaluated, the importance of data quality, and how AI-specific testing techniques are applied. The session will also include practical examples and exam-style questions to help participants understand how CT-AI concepts are assessed.

Key Points

Understanding the CT-AI v2.0 certification and syllabus
AI and Machine Learning fundamentals for testers
Quality characteristics of AI-based systems
Training data, test data, and data quality
Testing ML models and AI-based systems
Accuracy, Precision, Recall, F1 Score and Confusion Matrix

Meet The Trainer

Raja Francis

Experienced trainer with a background in test lead and project lead roles at Span Technology Services Pvt Ltd, KGISL Technologies, and Perfomatix Solutions Pvt Ltd. Demonstrated expertise in QA and tech lead roles at Vrize, Atmecs India Technologies, and Sutherland Global Solution. Skilled in test management, leadership, quality assurance, and client consulting. Previous clientele include Emerson Spain, ensuring a diverse range of experience with reputable companies.

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How To Pass ISTQB CT-AI v2.0 - Exam Strategy, Key Concepts & Preparation Roadmap