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ISTQB CT-AI Testing –Full Chapter cover + 4 extra mock tests

Complete ISTQB AI exam prep with chapter-by-chapter lessons, summaries, sample questions, cheatsheets, and 4 full mock.

Created byRomin Parvardeh

Last updated 11/2025

English

What you'll learn

Go from zero knowledge to confidently passing the ISTQB AI test by learning each chapter step-by-step.
Get fully prepared with 4 extra full-length mock exams designed to mirror the real test.
Learn how to manage exam stress, stay focused, and know exactly what to expect on exam day.
Master system readiness, setup requirements, and everything you must do before starting the exam.

Course content

14 sections • 70 lectures • 2h 34m total length

Introduction2:40
In this section, you’ll quickly learn who this course is for, who I am, why I created this course, and what you’ll get inside, from full chapter explanations to mock exams, study plans, and practical tips to help you pass the ISTQB AI exam faster and with confidence.

Exam Instructions3:54
In this section, you’ll learn the core exam facts: 40 questions, 60–75 minutes, K1–K4 levels, 65% passing score, and no negative marking. If you already know this, feel free to skip the video
System Readiness12:30
In this section, you’ll learn everything you need to set up your system correctly before exam day, from webcam and microphone checks to room requirements, valid ID, no headphones, no extra monitors, and how your desk should look. You’ll also understand the difference between the system-readiness check and the real exam, so you don’t panic when you receive that email.
You’ll see exactly what happens when you enter the exam area: confirming your identity, showing your glasses and desk, waiting for the proctor, and making any required adjustments. This section makes sure you avoid the most common reasons for disqualification and walk into your exam fully prepared and stress-free.

Section 1.1: Definition of AI and AI Effect1:34
Please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
1.2 Narrow, General and Super AI1:51
Please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
1.3 AI-Based and Conventional Systems0:33
1.4 AI Technologies0:45
1.5 AI Development Frameworks0:36
1.6 Hardware for AI-Based Systems2:18
Please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
1.7 AI as a Service (AIaaS)2:08
Please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
1.8 Pre-Trained Models1:57
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
1.9 Standards, Regulations and AI2:04
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.

2.1 Flexibility and Adaptability1:49
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2.2 Autonomy1:47
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2.3 Evolution1:38
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2.4 Bias1:42
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2.5 Ethics2:15
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2.6 Side Effects and Reward Hacking2:18
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2.7 Transparency, Interpretability and Explainability1:58
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
2.8 Safety and AI0:42

3.1 Forms of ML2:05
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
3.2 ML Workflow2:24
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
3.3 Selecting a Form of ML1:54
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
3.4 Factors Involved in ML Algorithm Selection1:51
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3.5 Overfitting and Underfitting1:52
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.

4.1 Data Preparation as Part of the ML Workflow2:37
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4.2 Training, Validation and Test Datasets in the ML Workflow2:28
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
4.3 Dataset Quality Issues2:05
After watching the video, please download the summary script from the Resources folder and read it carefully before answering the sample questions. It will help you understand the key points from the video and prepare for the exam.
4.4 Data Quality and its Effect on the ML Model1:50
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4.5 Data Labelling for Supervised Learning2:12
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5.1 Confusion Matrix2:44
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5.2 Additional ML Functional Performance Metrics for Classification, Regression2:34
5.3 Limitations of ML Functional Performance Metrics2:26
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5.4 Selecting ML Functional Performance Metrics2:16
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5.5 Benchmark Suites for ML1:49

6.1 Neural Networks2:15
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6.2 Coverage Measures for Neural Networks2:14
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7.1 Specification of AI-Based Systems2:28
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7.2 Test Levels for AI-Based Systems6:21
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7.3 Test Data for Testing AI-based Systems4:54
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7.4 Testing for Automation Bias in AI-Based Systems1:57
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7.5 Documenting an AI Component2:18
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7.6 Testing for Concept Drift1:55
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8.1 Challenges Testing Self-Learning Systems2:17
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8.2 Testing Autonomous AI-Based Systems2:14
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8.3 Testing for Algorithmic, Sample and Inappropriate Bias1:57
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8.4 Challenges Testing Probabilistic and Non-Deterministic AI-Based Systems2:15
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8.5 Challenges Testing Complex AI-Based Systems1:58
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8.6 Testing the Transparency, Interpretability and Explainability of AIBased Sys1:59
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8.7 Test Oracles for AI-Based Systems2:30
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8.8 Test Objectives and Acceptance Criteria2:21
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Requirements

There is no requirements needed.

Description

If you want to pass the ISTQB AI Testing certificate, this course gives you the exact path I used to pass the exam in just one month. It’s practical, structured, and made with care, built by me and refined with AI to give you the clearest, easiest way to learn a difficult syllabus. This is not just another theory course. It’s a complete learning system designed to take you from zero knowledge to fully ready for the exam.

What You Will Achieve

By the end of this course, you will:

Understand every chapter of the official ISTQB CT-AI syllabus clearly, simply, and with real examples.
Learn complex topics like ML workflow, coverage, evaluation metrics, explainability, and AI risks without feeling overwhelmed.
Build strong exam intuition through hard sample questions for every section.
Be fully ready for the exam structure, time pressure, and question style.
Know exactly how to study, what to expect, and how to avoid the common mistakes most people make.
Feel confident, prepared, and ready to pass.

What’s Inside The Course

Every chapter includes:

A clear, engaging video lesson
A detailed summary script (simple wording, complete information)
10+ chapter-specific sample questions
A chapter cheatsheet to memorize everything fast

At the end of the course, you also get:

4 Full Mock Exams
- 2 with detailed answer explanations (why the right option is right + why the others are wrong)
- 2 with answer keys to simulate the real exam timing

This gives you real exam pressure, real complexity, and real readiness.

Built With Intention, Not Just Information

This course is made from the heart. I passed this certification recently, and I documented every single thing that helped me succeed:

My study plan
My technique for reading questions under pressure
My system readiness checklist
My mindset preparation
How I handled stress, timing, and confusing questions

You don’t only learn the syllabus. You learn how to master the exam.
Finish this course, and you will be 100% prepared for ISTQB CT-AI.

Who this course is for:

For anyone preparing for the ISTQB CT-AI exam, including QA testers, engineers, and PMs who want to learn how AI and ML testing works.
Ideal for registered ISTQB CT-AI candidates and professionals who want to strengthen their resume with an AI testing certification.
For QA, testers, PMs, and anyone who wants a clear, simple path to passing the ISTQB CT-AI exam and understanding AI testing.

ISTQB CT-AI Testing –Full Chapter cover + 4 extra mock tests

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 3min

Exam Instructions2 lectures • 16min

Chapter 19 lectures • 14min

Chapter 28 lectures • 14min

Chapter 35 lectures • 10min

Chapter 45 lectures • 11min

Chapter 55 lectures • 12min

Chapter 62 lectures • 4min

Chapter 76 lectures • 20min

Chapter 88 lectures • 18min

Requirements

Description

Who this course is for: