Certified Tester AI Testing (CT-AI) Certification Logo

Certified Tester AI Testing (CT-AI) Certification

The CT-AI certification validates your skills in testing AI-based systems and using AI to support software testing. It demonstrates knowledge of AI models, risks, evaluation methods, and AI-assisted test practices. Ideal for testers, AI specialists, and QA professionals working with intelligent systems.

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What is Certified Tester AI Testing (CT-AI) Certification about?

The CT-AI certification focuses on both testing AI systems (e.g., ML models, neural networks, data-driven applications) and using AI tools to improve testing. It covers AI fundamentals, test design for AI behavior, dataset evaluation, ethical considerations, risk assessment, model explainability, and continuous monitoring.
This certification prepares professionals to validate AI systems for accuracy, fairness, robustness, safety, and reliability — all while leveraging AI to enhance automation and test coverage.

What are the objectives of Certified Tester AI Testing (CT-AI) Certification ?

By the end of this training, you will be able to:


  • Testing AI Systems:
  • Understand how AI/ML models work (supervised, unsupervised, reinforcement learning)
  • Evaluate datasets for quality, bias, representativeness & integrity
  • Design tests for non-deterministic model behavior
  • Identify, measure & reduce AI risks such as bias, drift & hallucinations
  • Validate model explainability, transparency & ethical compliance
  • Test AI performance, robustness & resilience in edge cases
  • Create test strategies for ML pipelines and continuous retraining


  • Using AI for Testing:
  • Apply AI tools to generate test cases & improve automation
  • Use AI-powered analytics to identify defects & quality gaps
  • Enhance regression testing, coverage, and prioritization using AI insights
  • Integrate AI into test workflows within Agile/DevOps environments

Who is Certified Tester AI Testing (CT-AI) Certification for?

  • QA Engineers & Test Analysts working with AI-based applications
  • Data Scientists & ML Engineers involved in validation activities
  • Automation Engineers exploring AI-assisted testing
  • Test Managers leading AI/ML project teams
  • Software Engineers building AI-driven features
  • Anyone wanting to specialize in AI testing or responsible AI evaluation

What are the prerequisites for Certified Tester AI Testing (CT-AI) Certification?

  • Mandatory: ISTQB CTFL (Foundation Level) certification
  • Recommended:
  • Basic understanding of AI or ML concepts
  • Familiarity with data-driven systems
  • Experience in software testing or automation