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HO_Exercise_1
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Employee.csv
Employee.csv
LICENSE
LICENSE
README.md
README.md

Repository files navigation

INTRODUCTION TO AI TESTING:
A Guide to ISTQB® CT-AI Certification

Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.

Options to run a Jupyter notebook

The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.
The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.

Book Information

About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.

AI Testing Course

For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training
Provider: Exactpro
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.

About

INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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LICENSE
README.md
README.md
Repository files navigation
INTRODUCTION TO AI TESTING: 
 A Guide to ISTQB® CT-AI Certification
Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.
Options to run a Jupyter notebook
The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.

The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.
Book Information
About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.
AI Testing Course
For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training 
Provider: Exactpro 
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.
About
INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification
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Readme
Apache-2.0 license
Activity
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Stars
1 star
Watchers
1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Employee.csv
Employee.csv
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LICENSE
README.md
README.md
Repository files navigation
INTRODUCTION TO AI TESTING: 
 A Guide to ISTQB® CT-AI Certification
Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.
Options to run a Jupyter notebook
The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.

The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.
Book Information
About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.
AI Testing Course
For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training 
Provider: Exactpro 
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.
About
INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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HO_Exercise_1
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HO_Exercise_2
HO_Exercise_3
HO_Exercise_3
Employee.csv
Employee.csv
LICENSE
LICENSE
README.md
README.md
Repository files navigation
INTRODUCTION TO AI TESTING: 
 A Guide to ISTQB® CT-AI Certification
Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.
Options to run a Jupyter notebook
The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.

The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.
Book Information
About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.
AI Testing Course
For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training 
Provider: Exactpro 
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.
About
INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Employee.csv
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README.md
Repository files navigation
INTRODUCTION TO AI TESTING: 
 A Guide to ISTQB® CT-AI Certification
Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.
Options to run a Jupyter notebook
The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.

The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.
Book Information
About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.
AI Testing Course
For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training 
Provider: Exactpro 
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.
About
INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Employee.csv
Employee.csv
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README.md
Repository files navigation
INTRODUCTION TO AI TESTING: 
 A Guide to ISTQB® CT-AI Certification
Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.
Options to run a Jupyter notebook
The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.

The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.
Book Information
About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.
AI Testing Course
For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training 
Provider: Exactpro 
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.
About
INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification
Resources
Readme
Apache-2.0 license
Activity
Custom properties
Stars
1 star
Watchers
1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
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} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Employee.csv
Employee.csv
LICENSE
LICENSE
README.md
README.md
Repository files navigation
INTRODUCTION TO AI TESTING: 
 A Guide to ISTQB® CT-AI Certification
Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.
Options to run a Jupyter notebook
The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.

The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.
Book Information
About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.
AI Testing Course
For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training 
Provider: Exactpro 
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.
About
INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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INTRODUCTION TO AI TESTING: 
 A Guide to ISTQB® CT-AI Certification
Welcome to the GitHub repository dedicated to the "Introduction to AI Testing: A Guide to ISTQB® CT-AI Certification" book! This repository serves as a companion to the book and includes three directories corresponding to three hands-on exercises given in Chapters 4, 6, and 11 of the book. Each directory contains a Jupyter notebook with a task description as well as a sample code written in Python™ providing a possible implementation that can be used to solve the exercise. In this GitHub repository, you will also find datasets for hands-on exercises and the employee dataset used in Chapter 9 of the book.
Options to run a Jupyter notebook
The first option is to execute the notebook using a web-based interface, for example, Google Colaboratory platform, a free cloud-based Jupyter notebook environment. For this you need a free Google Gmail account and the storage for Jupyter notebooks in your Google Drive.

The second option is to run the code locally. For this, you will need to set up a PythonTM integrated development environment (IDE) or code editor, such as PyCharm, Jupyter, Visual Studio Code, etc. The Python version should be either equal to or greater than 3.8.1. If you run the Jupyter notebook locally, you will need to skip the steps that describe the mounting of the Google Drive and the file upload via accessing the Google Drive, and go straight to the step of a dataframe creation by reading the csv file using the pd.read_csv() function.
Book Information
About: This book is a practical, accessible guide to Artificial Intelligence and the ISTQB® Certified Tester – AI Testing (CT-AI) exam. Whether you are from software testing, development, data science, or just getting started, you will find insights that match your experience and support your growth. While grounded in the official ISTQB® CT-AI Syllabus, the book goes beyond it, featuring clear visuals such as diagrams and charts, along with engaging illustrations that help clarify complex ideas and concepts.
Where to Buy: Pre order on Amazon is available soon.
AI Testing Course
For more comprehensive knowledge on AI testing, consider enrolling in our bespoke course:
Course Title: AI Testing Training 
Provider: Exactpro 
Course Details: Visit Exactpro AI Testing Course for detailed information about curriculum, enrollment, and plan options at https://exactpro.com/training/ISTQB-AI-Testing-course.
About
INTRODUCTION TO AI TESTING: A Guide to ISTQB® CT-AI Certification
Resources
Readme
Apache-2.0 license
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1 watching
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1 fork
Report repository
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