ISTQB Certified Tester AI Testing (CT-AI) Training

Course Description

SkillDynamo’s ISTQB Certified Tester AI Testing (CT-AI) Training develops practical knowledge in testing AI-based systems, data and model quality, AI-specific risks, and responsible AI-enabled testing. The course follows a structured sequence and connects each concept to realistic software-quality responsibilities.

Learners move from core concepts to applied analysis, planning, design, execution, reporting, and improvement. Course-specific activities build confidence for workplace decisions and certification-oriented scenarios.

What You Will Learn

• Understand machine learning concepts, datasets, models, and AI system behavior
• Identify bias, explainability, robustness, privacy, safety, and ethical risks
• Design tests for data, models, components, and end-to-end AI behavior
• Use appropriate model-quality and AI-specific evaluation measures
• Apply metamorphic, exploratory, adversarial, and lifecycle testing
• Evaluate responsible uses of AI to support testing activities

Why This Course Matters

This course matters because testing AI-based systems, data and model quality, AI-specific risks, and responsible AI-enabled testing directly influence product quality, delivery confidence, stakeholder trust, and the ability to make defensible release decisions.

Practical and Certification Relevance

The course combines practical testing responsibilities with scenario-based learning and certification-focused terminology, techniques, and decision making.

Tools and Techniques Covered

• Dataset quality checks
• Model performance metrics
• Metamorphic testing
• Bias and fairness analysis
• Explainability methods
• AI-assisted test generation

Who Will Benefit

• Software testers and QA engineers
• Test analysts and business analysts
• Developers and product-team members
• Quality and delivery professionals
• Professionals preparing for specialist ISTQB certification