Certified Tester – Testing with Generative AI (CT-GenAI)

Overview

The updated of the ISTQB® Certified Tester – Testing with Generative AI (CT-GenAI) syllabus builds upon the strong foundation established in version 1.0, further enhancing its practical relevance to today’s rapidly evolving AI-driven testing landscape.

Expanding on the original concepts, the updated syllabus provides testing and quality-engineering professionals with a more comprehensive and market-aligned learning path for effectively applying Large Language Models (LLMs) and Generative AI techniques across the entire testing lifecycle — from requirements analysis and test design to automation, reporting, and continuous improvement.

The enhanced syllabus places greater emphasis on real-world industry applications, advanced prompt-engineering practices, and emerging AI-assisted testing use cases that reflect current market demands. In addition to strengthening core GenAI fundamentals, version 1.1 equips testers with practical strategies for responsible AI adoption, including the management of risks such as hallucinations, bias, security, privacy, and environmental impact.

Specialist
GenAI Testing
Contents
Business Outcomes

A candidate who has achieved the CT-GenAI certification should be able to:

  • Understand the fundamental concepts, capabilities, and limitations of generative AI
  • Develop practical skills in prompting large language models for software testing
  • Gain insight into the risks and mitigations of using generative AI for software testing
  • Gain insight into the applications of generative AI solutions for software testing
  • Contribute effectively to the definition and implementation of a generative AI strategyand roadmap for software testing within an organization
Audience

The qualification is intended for anyone involved in using generative AI for software testing, including testers, test analysts, test automation engineers, test managers, user-acceptance testers and software developers. It is equally valuable to professionals who need a solid understanding of GenAI in testing—project managers, quality managers, software development managers, business analysts, IT directors and consultants.

To gain this certification, candidates must hold the Certified Tester Foundation Level certificate.

Eligibility

To gain this certification, candidates must hold the Certified Tester Foundation Level certificate.

Exam Structure
KeyValue

No. of Questions

40

Maximum Marks

46

Passing Marks

30

Exam Length (minutes) :

60 (+25% Non-Native Language)

Prerequisites

CTFL

More Info

Training & self-study – Courses will be offered by ISTQB®-accredited Training Providers (face-to-face, virtual or e-learning). Candidates may also prepare via self-study using the official syllabus and recommended references.

Prerequisite – Before taking the CT-GenAI exam, you must be certified ISTQB® Certified Tester Foundation Level (CTFL). Next steps in the career path – CT-GenAI holders can continue along the ISTQB® scheme to Core Advanced modules (Test Analyst, Technical Test Analyst, Test Manager, Test Engineering) and, later, Expert Level certifications.

Certification Providers

ISTQB

Take this Certification Now!

Fill in your details:
Take this Certification Now!

Certified Tester Test Automation Strategy (CT-TAS)

The Certified Tester Test Automation Strategy Specialist qualification is aimed at anyone involved in software testing and test automation. The syllabus presents multiple factors that come into play when planning for test automation within an organization. The Test Automation Strategy syllabus addresses test automation needs beyond those that are technical tool implementation and integration challenges. A strategic view of test automation provides a vision of implementation across projects within an organization in a systematic and consistent manner that ultimately can demonstrate value to the organization.

Specialist
Test Automation Strategy

Certified Tester AI Testing (CT-AI) v1.0

The ISTQB AI Testing (CT-AI) certification extends understanding of artificial intelligence and/or deep (machine) learning, most specifically testing AI-based systems and using AI in testing.

Specialist
AI Testing

Certified Tester Game Testing (CT-GaMe)

The ISTQB Game Testing certification focusses on the understanding and skills needed to perform and manage testing on all levels in game projects. It covers the basic concepts of video and game testing as well as how to determine risks and goals for gaming software. It includes conceptually designing, implementing and executing game software tests, approaches to games testing (Game Testing Mechanics, Sound Testing, Graphics Testing and Localization) and recognizing games testing tools.

Specialist
Game Testing

Certified Tester Performance Testing (CT-PT)

The ISTQB Performance Testing (CT-PT) certification provides knowledge of the principal aspects of performance testing, including technical aspects, method-based aspects, and organizational aspects. Specifically pertaining to performance testing, it covers areas such as basic concepts, measurements, activities, tasks, and tools.

Specialist
Performance Testing

Certified Tester Automotive Software Tester (CT-AuT)

The ISTQB Certified Tester Automotive Software Tester (CT-AuT) certification focuses on the specific requirements for 'testing E/E systems' in the automotive environment on the basis of established standards (Automotive SPICE, ISO 26262, AUTOSAR, etc.). It also covers testing in virtual environments (including XiL), and automotive-specific static and dynamic test techniques.

Specialist
Automotive Software Tester

Certified Tester Acceptance Testing (CT-AcT)

The ISTQB Acceptance Testing (CT-AcT) certification focuses on the concepts, methods, and practices of collaboration between product owners/business analysts and testers in acceptance testing. It covers user acceptance testing (UAT), contractual and regulatory acceptance testing, as well as alpha and beta testing.

Specialist
Acceptance Testing

Certified Tester Usability Testing (CT-UT)

The ISTQB Certified Tester Usability Tester (CT-UT) focuses on usability testing methods and approaches. It covers set up procedures from a usability, user experience, and accessibility, as well as relevant standards and risks.

Specialist
Usability Testing

Certified Tester Gambling Industry Tester (CT-GT)

The ISTQB Gambling Industry Tester (CT-GT) certification covers the key concepts in the gambling industry, the gambling industry ecosystem, and the different test types common to the gambling industry. It includes aspects such as gambling industry compliance testing, fun factor or player perspective testing, math testing, audio testing, multiplayer testing, and interoperability testing.

Specialist
Gambling Industry

Certified Tester Mobile Application Testing (CT-MAT)

The ISTQB Mobile Application Testing (CT-MAT) certification provides an insight into methods, techniques, and tools a professional may use to test mobile applications. It covers the required mobile project activities, roles, methods, and methodologies.

Specialist
Mobile Application

Certified Tester Security Tester (CT-SEC)

The ISTQB Security Tester (CT-SEC) certification focuses on planning, performing, and evaluating security tests from multiple perspectives including risk, requirements, vulnerability, and human factors. It also covers security testing tools and standards.

Specialist
Security Tester

Certified Tester Model-Based Tester (CT-MBT)

The ISTQB Model-Based Testing (CT-MBT) certification focuses on an advanced test approach of using models for testing. It extends and supports classic test design techniques such as equivalence partitioning, boundary value analysis, decision table testing, state transition testing, and use case testing. It is an innovative approach to improve effectivity and efficiency of the test process.

Specialist
Model-Based Tester

Certified Tester AI Testing (CT-AI) Version 2.0

The ISTQB® Certified Tester AI Testing (CT-AI) v2.0 certification focuses on testing AI-based systems, including machine learning systems and generative AI systems such as large language models. It provides the knowledge required to design and execute tests for AI-based systems, addressing their specific characteristics, including probabilistic behavior, non-determinism, and reliance on data. It also introduces AI-specific quality characteristics relevant to testing AI-based systems. The syllabus follows a lifecycle-based approach, including input data testing, model testing, and ML development testing, together with relevant test approaches for modern AI-based systems.

Specialist
AI Testing