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ISTQB® CT-AI Cert 2026: Practice Exam & Custom GPT Learning
Rating: 4.2 out of 5(31 ratings)
2,500 students

ISTQB® CT-AI Cert 2026: Practice Exam & Custom GPT Learning

ISTQB® CT-AI Certification Practice Exam & ChatGPT Expert for High-Quality Personalized Learning by Industry Expert
Created byM Faizan Khan
Last updated 3/2026
English

What you'll learn

  • Understand fundamental AI concepts, history, and real-world applications.
  • Explore different ML types, workflows, and considerations for selecting ML models.
  • Learn evaluation metrics like accuracy, precision, recall, and F1-score for ML models.
  • Examine key test levels, risks, and methodologies for validating AI systems.

Included in This Course

600 questions
  • ISTQB® AI Testing Certification Exam 1100 questions
  • ISTQB® AI Testing Certification Exam 2100 questions
  • ISTQB® AI Testing Certification Exam 3100 questions
  • ISTQB® AI Testing Certification Exam 4100 questions
  • ISTQB® AI Testing Certification Exam 5100 questions
  • ISTQB® AI Testing Certification Exam 6100 questions

Description

This is the practice exams course to give you the winning edge.

This course is designed for QA Engineers, Software Testers and Professionals preparing for the ISTQB® Certified Tester – AI Testing (CT-AI) Certification. It includes over 600 High Quality Exam-style multiple-choice questions (100 per exam), each accompanied by correct answers and detailed explanations. All content is fully aligned with the official ISTQB® CT-AI Syllabus v1.0.

Special Access: Generative AI-Based Personalized Learning

All enrolled learners receive exclusive access to a Custom ChatGPT Expert for Personalized Learning that is designed and trained specifically for the ISTQB® CT-AI latest syllabus.

What You’ll Get

  • 600 specially crafted practice questions

  • Detailed Explanation for correct and incorrect options

  • Breakdown by Learning Objectives (LO) and K-Levels (K1-K4)

  • Coverage of Real-world scenarios, including AI bias, transparency, ML metrics, test strategy, etc.

  • Progress tracking and scoring templates

  • Timed Mock Exam (ISTQB® style)

What You Get with the GPT Expert:

  • Syllabus-Based Q&A: Ask any question from the official syllabus (v1.0) – concepts, terms, techniques

  • Exam Booking Help: Find ISTQB exam providers based on your country or language preferences

  • Mock Exams On-Demand: Generate practice tests instantly by chapter, topic, or difficulty

  • Explain My Answer: Get immediate reasoning behind right/wrong answers – not just memorization

  • Syllabus Breakdown: Dive deep into each learning objective (K1–K3 levels) with examples

  • Exam Strategy Tips: Get test-taking techniques for time management and topic prioritization

  • Tool & Standard Guides: Ask for quick overviews on MLflow, DVC, SHAP, ISO/IEC 25010, EU AI Act, etc.

  • Progress Tracking (via GPT prompts): Simulate chapter mastery with prompts like “quiz me on Chapter 5 with 10 hard questions”

  • Miscellaneous: Flash Card, Quiz, PDFs for Last-Minute Review


Quality speaks for itself.

SAMPLE QUESTION:

How can AI improve test coverage efficiency?

A. By writing long test plans
B. By identifying test cases that cover unique execution paths
C. By disabling old test cases
D. By increasing test case execution speed

Correct Answer:

  • B: By identifying test cases that cover unique execution paths
    Explanation: AI can analyze paths and remove redundancies.

  • Reference: Chapter 11 | LO: AI-11.2.1 | K2

Incorrect Answers:

  • A: By writing long test plans

    Explanation: Length doesn’t equal effectiveness.

  • C: By disabling old test cases

    Explanation: Disabling tests may lead to missed regressions.

  • D: By increasing test case execution speed

  • Explanation: Faster execution doesn’t necessarily improve coverage.

Supported ISTQB Boards:

ISTQB Member Boards (Worldwide)

ISTQB (International Software Testing Qualifications Board)

North America

ASTQB – American Software Testing Board (USA)

CSTB – Canadian Software Testing Board

HSTQB – Haitian Software Testing Board

Europe

BSTQB – British Software Testing Board (UK)

GTB – German Testing Board

CFTL – Comité Français des Tests Logiciels (France)

ITB – Italian Testing Board

SSTB – Spanish Software Testing Board

ATB – Austrian Testing Board

STB – Swiss Testing Board

PTB – Polish Testing Board

HSTQB – Hungarian Software Testing Board

ROAST – Romanian Association for Software Testing

TSTQB – Turkish Software Testing Board

GASQ (acts as exam body for multiple EU regions)

UKITB – UK & Ireland Testing Board

NVTB – Netherlands Testing Board

FINSTQB – Finnish Software Testing Board

DSTB – Danish Software Testing Board

NSTQB – Norwegian Software Testing Board

ISEB (legacy, now under BSTQB)

Asia

PSTB – Pakistan Software Testing Board

ISTQB India – Indian Testing Board

JSTQB – Japan Software Testing Board

KSTQB – Korean Software Testing Board

CTB – China Testing Board

MSTB – Malaysia Software Testing Board

SLSTB – Sri Lanka Software Testing Board

BSTB – Bangladesh Software Testing Board

Thai Testing Board (TTB)

Vietnam Testing Board (VTB)

TTA – Taiwan Testing Alliance

HKTQB – Hong Kong Testing Board

STQB – Singapore Testing Board

ITQTB – Indonesia Testing Board

Middle East & Africa

EGTB – Egyptian Software Testing Board

SA Testing Board – South Africa

MSTQB – Moroccan Software Testing Board

ASTQB Gulf / regional partners (Middle East delivery)

Latin America

BSTQB – Brazilian Software Testing Board

ATB – Argentine Testing Board

COLTEST – Colombian Testing Board

IBQTS – Ibero-American Board of Software Quality Testing

UYTB – Uruguay Testing Board

CSTQB – Chilean Software Testing Board

PYSTQB – Paraguay Software Testing Board

Oceania

ANZTB – Australia & New Zealand Testing Board

Who this course is for:

  • This course is designed for professionals working with AI-based systems and AI-driven testing, including but not limited to: Testing & QA Professionals
  • This course is ideal for anyone looking to enhance their expertise in testing AI-based systems and leveraging AI for software testing.
  • Prerequisite: Candidates must hold the Certified Tester Foundation Level (CTFL) certification to qualify for this course.
  • Testers, test analysts, test engineers, test consultants, test managers, and user acceptance testers.
  • IT & Operations Leaders: IT directors, operations team members, and management consultants involved in AI adoption.
  • Business analysts, quality managers, and project managers looking to understand AI testing methodologies.
  • Software Development Teams: Developers, software engineers, and technical architects involved in AI testing. Project & Quality Managers
  • Data & AI Specialists: Data analysts and professionals working with AI models.