ISTQB® Certified Tester AI Testing (CT-AI)

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The Certified Tester AI Testing (CT-AI) qualification is aimed at people who are seeking to extend their understanding of artificial intelligence and/or deep (machine) learning, most specifically testing Artificial Intelligence (AI) based systems and using Artificial Intelligence based testing techniques to test.

Value for Organisation

  • Adopt industry best practises to ensure quality and efficiency in the planning and execution of testing using AI.
  • Standardise the AI knowledge and skills within your organisation to utilise advanced testing techniques to gain the optimal test coverage
  • Recognise the special requirements for the test infrastructure to support the testing of AI-based systems
  • Experience the implementation and testing of a Machine Language model and recognise where testers can best influence its quality
  • Understand the challenges associated with testing AI-Based systems, such as their self-learning capabilities, bias, ethics, complexity, non-determinism, transparency, and explain-ability

Value for Candidate

  • Understand the current state and expected trends of AI based Testing
  • Differentiate between AI-based systems and conventional systems
  • Understand the characteristics of AI-based systems and test approach
  • Machine Learning (ML) Fundamentals related to testing
  • Understand how system specifications for AI-based systems can create challenges in testing
  • Contribute to the test strategy, design, and execute test cases for AI-Based systems
  • Determine the quality of the ML system using ML functional performance metrics
  • Understand how AI can assist in supporting the analysis of new defects, test case generation, optimisation of regression test suites, defect prediction
  • Understand how to implement a simple AI-based defect prediction system
  • Understand the use of AI in testing user interfaces

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