Gain the skills you need to test AI systems or test using AI The ISTQB AI Testing Certification gives you a structured, practical way to build the skills that today’s testing professionals need. You won’t just learn theory, you’ll understand how to apply AI testing methods to real-world projects. You’ll start by learning the fundamentals of artificial intelligence, including key concepts like machine learning, neural networks, natural language processing (NLP), and data-driven algorithms. From there, the certification guides you through how these AI technologies impact testing, both as the subject of testing and as tools to support the testing process. Through the certification syllabus and preparation resources, you will learn how to: Evaluate and test AI models, even when they behave unpredictably Understand and measure AI performance using metrics like precision, recall, and confusion matrices Apply specialized test techniques, such as metamorphic testing, to handle non-deterministic outputs Align your testing approach with the full AI lifecycle, from data selection and model training to deployment and monitoring Assess important quality factors unique to AI, such as explainability, robustness, transparency, and ethical behavior Use AI and machine learning to improve your testing activities, from generating test cases to predicting defects Start learning AI testing today To get started, visit the ISTQB AI Testing Certification page. You can prepare in the way that works best for you: Self-study using the ISTQB AI Testing syllabus, which is designed for hands-on learning. Use ASTQB-accredited training providers that have courses that cover the full syllabus Utilize online resources and practice to build your skills. Remember, earning the ISTQB AI Testing Certification shows employers that you have the proven skills to test AI systems effectively and stay ahead in a rapidly changing field.
