Udemy – ISTQB CT-AI: Certified Tester AI Testing with Practice Tests

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:

• Core CT-AI concepts: metamorphic testing, concept drift, test oracle problems, bias, adversarial attacks, explainability , neural network coverage
• How to test AI-based systems across the lifecycle – from data preparation to deployment
• AI-specific quality characteristics, risks, and ethical considerations
• Practical strategies for AI QA: test environments, performance metrics, defect detection
• Role-play activities to simulate real-world AI testing projects and interview scenarios

Syllabus Coverage (aligned with ISTQB CT-AI 2025):

• Introduction to AI and ML fundamentals
• Quality characteristics of AI-based systems
• ML data, metrics, and neural networks testing
• Testing AI-specific quality characteristics
• Methods and techniques for AI system testing
• Test environments for AI-based systems
• Using AI for testing and automation

Practice Tests and Exam Prep:

• 150+ exam-style questions with detailed explanations
• Difficulty levels mapped (easy/medium/hard)
• Performance analytics and topic-wise scoring
• Time management insights for exam readiness