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ISTQB® Certified Tester AI Testing (CT-AI)
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The ISTQB® Certified Tester AI Testing (CT-AI) certification deepens your knowledge of artificial intelligence and machine learning . You will learn about testing AI-based systems and how to practically use AI tools in daily software testing.
Upcoming CT-AI Sessions
3 sessionsDescription
The ISTQB® Certified Tester AI Testing (CT-AI) certification deepens your knowledge of artificial intelligence and machine learning. You will learn about testing AI-based systems and how to practically use AI tools in daily software testing.
What You Will Learn
CT-AI focuses on testing AI-based systems and on applying AI techniques in testing.
It typically requires a valid ISTQB Certified Tester Foundation Level (CTFL) certificate.
The syllabus addresses topics such as:
Chapter 1- Introduction to AI
Chapter 2- Quality Characteristics for AI-Based Systems
Chapter 3- Machine Learning (ML) – Overview
Chapter 4- ML – Data
Chapter 5- ML Functional Performance Metrics
Chapter 6- ML – Neural Networks and Testing
Chapter 7- Testing AI-Based Systems Overview
Chapter 8- Testing AI-Specific Quality Characteristics
Chapter 9- Methods and Techniques for the Testing of AI-Based Systems
Chapter 10- Test Environments for AI-Based Systems
Chapter 11- Using AI for Testing
Certification & Exam
This course prepares you for the ISTQB® Certified Tester AI Testing (CT-AI) exam. The certification is currently based on the CT-AI Syllabus Version 2.0 and is aimed at professionals who test AI-based systems or use AI in the testing process. A valid ISTQB® Certified Tester Foundation Level (CTFL) certificate is required to take the CT-AI exam.
In the exam, you demonstrate knowledge of topics such as testing AI systems, data quality, machine learning models, system-related testing approaches, and risks of using AI. After passing the exam, you receive the ISTQB® CT-AI certificate. You can find official information at ISTQB®: Certified Tester AI Testing (CT-AI).
What You Will Achieve
After successfully completing the course, you can apply the following activities to your daily practice:
Analyze the current state and future developments in the field of artificial intelligence to assess their relevance to your testing projects.
Evaluate the quality of machine learning models and determine the appropriate time for quality assurance measures during development.
Construct comprehensive test strategies for AI-based systems, taking into account characteristics such as self-learning behavior, data bias, and lack of determinism.
Design targeted test cases for AI applications and execute them systematically.
Define the technical infrastructure and tools needed for testing AI systems.
Implement AI-supported testing tools to conduct your own software tests more efficiently.
Training Providers
2 providersFAQs
General FAQs
CT-AI is a Specialist certification about testing AI-based systems and also using AI in testing. It builds your understanding of AI and machine learning in a testing context.
Voraussetzungen & Anforderungen
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