• views: 110
• date: 17 January 2026
• posted by: voska89

What you'll learn
Identify risks, challenges, and quality characteristics specific to AI-based systems
Apply appropriate testing techniques for AI systems, including data validation, model testing, and bias detection
Design and execute test cases for AI systems across different lifecycle stages
Analyze AI system behavior, interpret results, and support defect analysis and decision-making
Requirements
ISTQB Foundation Level Certificate
Previous Work Experience in Software Testing is Preferred
No programming or data science background is required.
No prior experience in Artificial Intelligence or Machine Learning is required.
Description
This course is designed to help software testers and QA professionals understand how to test AI-based systems effectively and confidently, in alignment with the ISTQB Artificial Intelligence Tester Certification syllabus.You will start by building a solid foundation in Artificial Intelligence and Machine Learning concepts, explained in a clear and tester-friendly way — without requiring any data science or programming background. The course then dives into the unique characteristics of AI systems, such as non-deterministic behavior, learning models, and data dependency, and how these characteristics impact testing activities.Throughout the course, you will learn how to:Identify AI-specific risks and quality challengesValidate and test training, test, and operational dataDetect and analyze bias, fairness, and ethical risksDesign effective test strategies and test cases for AI systemsUnderstand model behavior, outputs, and limitationsApply appropriate testing techniques across the AI lifecycleThe content is structured to support both practical understanding and exam preparation, with clear explanations, examples, and exam-oriented guidance that map directly to the ISTQB learning objectives.Whether you are preparing for the ISTQB AI Tester exam, working on AI-enabled projects, or simply want to future-proof your testing skills, this course will give you the knowledge and mindset required to test AI systems responsibly and effectively.By the end of this course, you will be able to approach AI testing with confidence, understand where traditional testing fits — and where new approaches are required.
Who this course is for
Software testers and QA engineers who want to understand how to test AI-based systems effectively.
Testers preparing for the ISTQB Artificial Intelligence Tester Certification exam.
Test analysts, test managers, and QA leads involved in projects that use AI or machine learning.
Software engineers and business analysts who collaborate with AI-based systems and want to understand AI testing risks and quality aspects.
Homepage

https://www.udemy.com/course/istqb-artificial-intelligence-testing/

   
   
   

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