Master AI & ML Testing, Model Validation, Bias Testing & Automation | Prepare for ISTQB AI Tester Certification
Sub Category
- Other IT & Software
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Objectives
- Understand fundamentals of AI, Machine Learning, and AI-based systems
- Learn how to test AI/ML models, data pipelines, and decision systems
- Evaluate model performance using metrics and validation techniques
- Identify and test AI-specific risks like bias, ethics, and transparency
- Apply advanced AI testing techniques like adversarial and metamorphic testing
- Prepare for the ISTQB Certified AI Tester certification exam
Pre Requisites
- Basic understanding of software testing concepts
- Familiarity with any programming language (Java, Python, etc.) is helpful but not mandatory
- Interest in Artificial Intelligence and Machine Learning concepts
- Basic knowledge of automation testing is an added advantage
- A laptop/PC with internet connection for hands-on practice
- Willingness to learn and explore new testing approaches
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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