Facts
- Course Level: Advanced
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Certification: ISTQB Certified Tester AI Testing (CT-AI)
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Duration: 4 days for Live Virtual Classroom or Classroom; Self-paced eLearning [insert hours]
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Exam Duration: 60 minutes
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Pass Mark: 65%
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Prerequisites: ISTQB Foundation Certificate (CTFL) or equivalent; basic understanding of software testing
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Delivery Methods: eLearning [insert hours], Live Virtual Classroom 4 days, Classroom 4 days
Who It’s For
This course is ideal for software testers, test analysts, quality assurance engineers, test managers, and developers working with AI systems. It is also suitable for project managers, business analysts, and IT professionals seeking to understand AI testing practices and ensure the quality of AI-driven applications.
Exam Information
- Exam Duration: 60 minutes
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Number of Questions: 40 multiple-choice questions
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Question Type: Multiple-choice, closed book
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Pass Mark: 65%
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Delivery Method: Online, in-class, or remote proctored
- Accreditation: fully accredited by UKITB on behalf of ISTQB
Pre-Course Requirements
Participants should hold the ISTQB Foundation Certificate (CTFL) or equivalent. A basic understanding of software testing principles and familiarity with AI concepts is recommended. Delegates are expected to complete any pre-course materials or reading assigned by TSG prior to attending the live sessions.
FAQs
What is the ISTQB AI Testing certification?
The ISTQB Certified Tester AI Testing (CT-AI) certification validates knowledge and skills in testing artificial intelligence systems. It ensures delegates understand AI fundamentals, machine learning principles, testing strategies for AI-driven software, and risk assessment approaches specific to AI applications. The certification demonstrates internationally recognized competence in AI testing, enhancing credibility in high-demand technology roles.
Who should take this course?
This course is suitable for software testers, QA engineers, developers, test managers, data scientists, and IT professionals working with AI systems. It is also relevant for professionals responsible for validating AI software quality, designing AI-based solutions, or integrating AI into existing testing processes.
What are the prerequisites for the AI Testing course?
Candidates must hold the ISTQB Foundation Certificate in Software Testing (CTFL). A basic understanding of software testing principles, practices, and lifecycle processes is recommended to fully benefit from the AI-specific content.
How long is the course?
The Virtual and Classroom versions run for 4 days, typically 7 hours per day. Self-paced eLearning is flexible and varies depending on the learner’s pace, with full coverage of the CT-AI syllabus.
Is the exam included in the course fee?
Yes, the ISTQB CT-AI certification exam is included in all delivery options. Delegates receive exam registration, structured preparation, and practice exercises as part of the course package.
How is the exam structured?
The exam consists of 40 multiple-choice questions. Delegates have 60 minutes to complete the exam (75 minutes for non-native English speakers), and a pass mark of 65% is required to achieve certification.
Can I take the course without sitting the exam?
Yes, delegates may attend the course for professional development and learning purposes. However, the official ISTQB CT-AI certification is only awarded after successfully passing the exam.
What practical skills will I gain from this course?
Delegates will gain skills to assess AI systems, validate machine learning algorithms, identify and mitigate bias, design AI-specific testing strategies, evaluate data quality, and communicate AI testing findings effectively within development and QA teams.
Which tools and techniques are used in the course?
The course introduces practical AI testing frameworks, simulation tools, and synthetic data generation techniques. Delegates also learn to use automation and monitoring tools relevant for validating AI system behavior and performance.
Is prior AI experience required?
No prior experience with AI is required. The course provides foundational knowledge of AI and machine learning, explained in the context of software testing, making it accessible to professionals with general testing experience.
How does this course support career progression?
The course equips delegates with specialized AI testing skills, recognized internationally. This enables career advancement into roles such as AI software tester, test automation engineer with AI focus, QA lead for AI projects, and technical consultant in AI testing practices.
What follow-on certifications are available after CT-AI?
After completing CT-AI, participants can pursue further ISTQB certifications, including advanced technical modules in AI, specialist modules such as Security Testing or Test Automation, or Agile/Advanced Core testing streams. These provide a pathway to deepening expertise in AI testing or branching into related quality assurance areas.
How are AI-specific risks addressed in the course?
Delegates learn to identify unique risks in AI systems, including algorithmic bias, unpredictability of outputs, model transparency, and ethical considerations. The course teaches strategies to evaluate and mitigate these risks through targeted testing approaches and robust quality assurance practices.
Does the course include hands-on exercises?
Yes, delegates participate in scenario-based exercises and practical workshops designed to apply AI testing principles. These include designing test cases for AI models, evaluating AI system behavior, and working with datasets to simulate real-world testing conditions.
Is the CT-AI certification globally recognized?
Yes, the ISTQB CT-AI certification is fully accredited by UKITB on behalf of ISTQB. It is internationally recognized and aligns with the ISTQB Certified Tester Scheme, which provides a global benchmark for software testing professionals.
