ISTQB Certified Tester AI Testing (CT-AI)
ISTQB Certified Tester AI Testing (CT-AI)
ISTQB Certified Tester AI Testing (CT-AI)
The ISTQB® Certified Tester AI Testing (CT-AI) is a globally recognised specialist certification that equips testing professionals with the knowledge and practical skills required to test AI-based systems and to leverage artificial intelligence as a tool within the broader software testing process. The CT-AI certification addresses both dimensions of the AI-testing relationship: how to test AI-based systems effectively, and how AI technologies can be applied to enhance and optimise conventional testing activities. By achieving this certification, professionals demonstrate the ability to contribute meaningfully to the quality assurance of AI-powered products while staying ahead of the rapidly evolving technology landscape.
Who should take the exam?
The CT-AI certification is designed for professionals involved in testing AI-based systems or those who wish to apply AI techniques within their testing practice.
- Software Testers and Test Analysts seeking to develop expertise in AI system testing
- Data Analysts working at the intersection of data quality and AI model validation
- Test Engineers and Test Consultants are responsible for designing and executing AI test strategies
- Test Managers and Test Leads overseeing quality assurance for AI-based products
- User Acceptance Testers involved in validating AI-driven features and behaviours
- Software Developers who want to understand testing principles for AI systems they build
- Project Managers, Quality Managers, and Business Analysts requiring foundational AI testing knowledge
- IT Directors, Operations Team Members, and Management Consultants advising on AI quality and governance
Exam Prerequisites
Candidates must hold the ISTQB® Certified Tester Foundation Level (CTFL) certification as a mandatory prerequisite before sitting the CT-AI examination. This requirement ensures that all candidates possess a solid understanding of core software testing principles before engaging with the specialist AI testing domain.
Course Outline
The CT-AI syllabus is structured across eleven comprehensive knowledge domains, including -
- Domain 1 - Introduction to AI
- Domain 2 - Quality Characteristics for AI-Based Systems
- Domain 3 - Machine Learning (ML) — Overview
- Domain 4 - ML Data
- Domain 5 - ML Functional Performance Metrics
- Domain 6 - ML Neural Networks and Testing
- Domain 7 - Testing AI-Based Systems — Overview
- Domain 8 - Testing AI-Specific Quality Characteristics
- Domain 9 - Methods and Techniques for Testing AI-Based Systems
- Domain 10 - Testing Environments for AI-Based Systems
- Domain 11 - Using AI for Testing
Exam Format and Information
Exam Name A4Q Selenium Tester Foundation | Exam Online Proctored |
| Exam Duration 60 minutes | Exam Format Multiple Choice |
| Exam type Foundation | Number of Questions 40 Questions |
| Eligibility/Prerequisite NIL | Total Points 47 Points |
| Exam Language English | Pass Score 31 points (approximately 66%) |