Overview of the Certified Tester AI Testing Exam
The iSQI CT-AI certification mandates specialized proficiency for software testers, quality assurance engineers, and data scientists tasked with validating AI-based systems. Candidates must demonstrate deep technical mastery of machine learning lifecycles, specifically addressing data quality, training pipelines, and model evaluation metrics like precision, recall, and F1-scores. The curriculum emphasizes rigorous testing strategies for neural networks, natural language processing models, and computer vision systems while incorporating adversarial robustness, bias mitigation, and explainability frameworks. Practitioners must apply verification techniques against specialized challenges, including non-deterministic outputs, black-box model behaviors, and ethical AI deployment, ensuring operational integrity within complex, data-driven software architectures and production-level ML environments.