Certified Tester AI Testing (CT-AI)

Audience
This certification is intended for testers, QA engineers, data scientists, developers, business analysts, and product owners involved in building or validating AI-enabled products. It benefits professionals who must understand AI-specific risks, model limitations, bias mitigation, and data-driven testing techniques. Individuals responsible for validating ML pipelines, assessing model outputs, or supporting regulatory compliance will find this certification highly relevant. It also suits team leads and managers who oversee AI projects and need to establish reliable testing strategies that maintain transparency and trust. Professionals transitioning into AI quality assurance or expanding their skill set into ML testing will gain a strong conceptual and practical foundation.

Business Outcomes
- Understand AI-specific risks and testing challenges  
- Evaluate data reliability, model behavior, and accuracy  
- Select techniques suitable for AI system validation  
- Support transparency and quality assurance for AI products