ISTQB Certified Tester AI Testing (CT-AI) Jämför

ISTQB Certified Tester AI Testing (CT-AI)

Would you like to develop practical skills for testing AI-enabled systems and machine learning models? The ISTQB Certified Tester AI Testing (CT-AI) course is designed for software testers and quality professionals who want to understand how artificial intelligence changes software behaviour, introduces new risks and requires specialised testing approaches.

About the Course

The ISTQB Certified Tester AI Testing (CT-AI) course focuses on the principles, risks and testing techniques associated with artificial intelligence and machine learning systems.

The course develops your understanding of how AI-enabled systems differ from traditional software and how this affects test design, test data, quality evaluation and risk management. You will explore machine learning workflows, data preparation, model performance and the specialised testing approaches needed for probabilistic and adaptive systems.

The programme also covers areas such as bias, transparency, explainability, generative AI, neural networks and AI-specific quality characteristics. You will work with testing approaches including adversarial testing, metamorphic testing, drift testing, A/B testing and techniques for evaluating training and input data.

Learning Objectives

After completing the course, you will have developed your ability to:

• Understand the characteristics of AI-enabled systems
• Identify risks associated with testing artificial intelligence and machine learning
• Apply appropriate testing techniques to AI-based systems
• Understand machine learning workflows and development processes
• Evaluate the quality and suitability of machine learning data
• Identify and test risks related to bias and data representativeness
• Test locked, adaptive and self-learning AI systems
• Select appropriate approaches for testing machine learning models
• Evaluate probabilistic model performance
• Apply techniques such as adversarial and metamorphic testing
• Address challenges related to AI quality, transparency and explainability
• Design and execute effective test cases for AI-based systems

Course Format

The course is delivered in English as Virtual / Live instructor led training.

The course is delivered over three days.

No pre course work is required.

Who Is This Course For?

The course is suitable for software testing and quality assurance professionals who want to develop specialist knowledge of testing artificial intelligence and machine learning systems.

It is particularly relevant for:

• Software testers working with AI-enabled applications
• Test analysts and QA professionals who want to develop AI testing expertise
• Quality professionals involved in machine learning projects
• Testers responsible for evaluating data quality, model behaviour or AI risks
• Professionals who want to understand how artificial intelligence affects software quality and testing practices

Prerequisites

Candidates must hold the ISTQB Certified Tester Foundation Level (CTFL) qualification.

Approximately 18 months of practical software testing experience is recommended.

No pre course work is required.

Exam and Certification

The ISTQB Certified Tester AI Testing examination is included in the course.

The exam consists of 40 multiple choice questions and must be completed within 60 minutes. It is a closed book examination and a score of at least 65% is required to pass.

Successful completion of the examination leads to the ISTQB Certified Tester AI Testing (CT-AI) certification.

More Information

For more information about the course, click Kontakta utbildaren to ask a question or register your interest.