AI Testing Certification

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What is AI Testing Certification about?

The ISTQB® AI Testing (CT-AI) certification extends understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.

What are the objectives of AI Testing Certification ?

Understand the fundamentals of testing AI and machine learning models.

Learn how to test AI systems for accuracy, bias, robustness, and performance.

Explore methods for testing data quality and the impact of data on AI model behavior.

Understand the challenges of testing dynamic, non-deterministic systems like AI and machine learning models.

Develop skills to validate AI models against ethical guidelines, regulatory compliance, and real-world scenarios.

Who is AI Testing Certification for?

Testers and QA professionals looking to expand their skills into AI and machine learning.
Data scientists and AI developers who want to ensure their models are well-tested.
Professionals working in industries where AI-based applications are being deployed.
IT professionals interested in understanding how to test complex AI algorithms.

What are the prerequisites for AI Testing Certification?

Basic understanding of software testing principles and practices.
Familiarity with AI concepts, data science, or machine learning models is recommended.