ISTQB AI Testing – Complete Training and Exam Preparation
ISTQB AI Testing – Complete Training and Exam Preparation
Master AI Testing with ISTQB Tester Training, complete syllabus, quizzes, real life examples and practice test by expert
What you'll learn
- Understand fundamental AI concepts, history, and real-world applications.
- Learn key quality attributes such as adaptability, transparency, and performance in AI systems.
- Explore different ML types, workflows, and considerations for selecting ML models.
- Understand data preprocessing, bias, quality challenges, and data handling in AI systems.
- Learn evaluation metrics like accuracy, precision, recall, and F1-score for ML models.
- Gain insights into neural networks, coverage measures, and challenges in testing deep learning models.
- Examine key test levels, risks, and methodologies for validating AI systems.
- Explore AI-specific testing techniques focusing on bias, explainability, and robustness.
- Learn various testing methods, including pairwise testing, metamorphic testing, and back-to-back testing.
- Understand the infrastructure and tools required for AI system testing.
- Discover how AI can automate and enhance software testing techniques.
This ISTQB Certified Tester AI Testing course is a complete training program designed to help professionals effectively understand, test, and certify their expertise in AI-based systems.
Aligned closely with the official ISTQB syllabus, this course provides a structured and comprehensive approach covering AI fundamentals, machine learning concepts, quality characteristics, and advanced AI testing methodologies.
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