Podcast
Questions and Answers
Which group is NOT a primary target audience for the AI Testing syllabus?
Which group is NOT a primary target audience for the AI Testing syllabus?
Which of the following best describes the purpose of the learning objectives regarding the syllabus?
Which of the following best describes the purpose of the learning objectives regarding the syllabus?
What is primarily specified by the 'Certified Tester AI Testing Overview' document?
What is primarily specified by the 'Certified Tester AI Testing Overview' document?
A tester encounters the term 'model drift'. According to the syllabus, what is the minimum cognitive level expected of this?
A tester encounters the term 'model drift'. According to the syllabus, what is the minimum cognitive level expected of this?
For which role listed is the AI Testing certification LEAST directly relevant?
For which role listed is the AI Testing certification LEAST directly relevant?
A training provider is planning an AI testing course using this syllabus. What is ONE primary purpose of the syllabus for them?
A training provider is planning an AI testing course using this syllabus. What is ONE primary purpose of the syllabus for them?
Which cognitive level would best describe a student being asked to elaborate on the benefits of using different testing techniques?
Which cognitive level would best describe a student being asked to elaborate on the benefits of using different testing techniques?
When reading AI Testing syllabus materials, at what level should a candidate recognize a keyword like 'adversarial attack'?
When reading AI Testing syllabus materials, at what level should a candidate recognize a keyword like 'adversarial attack'?
What is a typical component of a contract for AIaaS?
What is a typical component of a contract for AIaaS?
What is a common practice when an AIaaS provider doesn't meet the contracted availability?
What is a common practice when an AIaaS provider doesn't meet the contracted availability?
What kind of liability is typically offered in most AIaaS contracts?
What kind of liability is typically offered in most AIaaS contracts?
What is the main purpose of the initial free trial period that's often included with AIaaS?
What is the main purpose of the initial free trial period that's often included with AIaaS?
How is the pricing structured for IBM Watson Assistant?
How is the pricing structured for IBM Watson Assistant?
How is pricing generally determined for Google Cloud AI document processing services?
How is pricing generally determined for Google Cloud AI document processing services?
Which of the following is NOT a principle for the responsible stewardship of trustworthy AI?
Which of the following is NOT a principle for the responsible stewardship of trustworthy AI?
What primary function does Amazon CodeGuru provide?
What primary function does Amazon CodeGuru provide?
What is a key characteristic of 'reward hacking' in AI systems?
What is a key characteristic of 'reward hacking' in AI systems?
How are the prices determined for Microsoft Azure Cognitive Search?
How are the prices determined for Microsoft Azure Cognitive Search?
Which of these best describes a negative side effect in AI systems?
Which of these best describes a negative side effect in AI systems?
Why is transparency important for AI systems?
Why is transparency important for AI systems?
What should organizations and individuals do when developing AI systems?
What should organizations and individuals do when developing AI systems?
What does the concept of 'robust, secure and safe' AI systems imply?
What does the concept of 'robust, secure and safe' AI systems imply?
Which scenario describes a possible 'side effect' of an AI system?
Which scenario describes a possible 'side effect' of an AI system?
What is the primary focus of ‘value-based principles’ in AI stewardship?
What is the primary focus of ‘value-based principles’ in AI stewardship?
What is a primary advantage of using pre-trained models?
What is a primary advantage of using pre-trained models?
For which types of technologies are pre-trained models commonly available?
For which types of technologies are pre-trained models commonly available?
What does the term 'transfer learning' refer to?
What does the term 'transfer learning' refer to?
According to the content, which part of a deep neural network typically performs more basic tasks?
According to the content, which part of a deep neural network typically performs more basic tasks?
How does the similarity between the pre-trained model's original function and the new required task affect the effectiveness of transfer learning?
How does the similarity between the pre-trained model's original function and the new required task affect the effectiveness of transfer learning?
Which scenario best demonstrates the effective use of transfer learning according to the content?
Which scenario best demonstrates the effective use of transfer learning according to the content?
What is the possible method for using a pre-trained model without modification?
What is the possible method for using a pre-trained model without modification?
What is a key benefit of using resources such as the ImageNet dataset according to the text?
What is a key benefit of using resources such as the ImageNet dataset according to the text?
What is the primary factor determining the type of data used by an algorithm and model?
What is the primary factor determining the type of data used by an algorithm and model?
In the context of training a machine learning model, what does an 'epoch' refer to?
In the context of training a machine learning model, what does an 'epoch' refer to?
Which of the following best describes the purpose of a validation dataset in model development?
Which of the following best describes the purpose of a validation dataset in model development?
What is a model hyperparameter?
What is a model hyperparameter?
What is a key consideration when selecting data for training, tuning, and testing a machine learning model?
What is a key consideration when selecting data for training, tuning, and testing a machine learning model?
What is the primary purpose of evaluating a machine learning model?
What is the primary purpose of evaluating a machine learning model?
What is the typical approach when choosing a model for an intended application?
What is the typical approach when choosing a model for an intended application?
What is the main goal of the tuning phase of a model during its development process?
What is the main goal of the tuning phase of a model during its development process?
Which of the following is NOT a typical challenge associated with data preparation?
Which of the following is NOT a typical challenge associated with data preparation?
What is the primary purpose of data visualization in the context of data analysis?
What is the primary purpose of data visualization in the context of data analysis?
During the data preparation process, some steps are performed once and some may be automated. Which of the following activity would likely be automated?
During the data preparation process, some steps are performed once and some may be automated. Which of the following activity would likely be automated?
In the context of Machine Learning (ML) model development, what is the main characteristic of a training dataset?
In the context of Machine Learning (ML) model development, what is the main characteristic of a training dataset?
Why is checking for defects during data preparation a critical activity?
Why is checking for defects during data preparation a critical activity?
When creating a machine learning model, how should data be split to develop a model effectively?
When creating a machine learning model, how should data be split to develop a model effectively?
Which of the following best describes 'sample bias' in the context of data preparation?
Which of the following best describes 'sample bias' in the context of data preparation?
What is the next step, in the provided process, after data preparation for an ML model?
What is the next step, in the provided process, after data preparation for an ML model?
Flashcards
Certified Tester AI Testing
Certified Tester AI Testing
The Certified Tester AI Testing certification is designed for people involved in testing AI-based systems or using AI for testing.
Who is the Certified Tester AI Testing certification for?
Who is the Certified Tester AI Testing certification for?
This certification is appropriate for individuals in various roles, including testers, test analysts, data analysts, test engineers, test consultants, test managers, user acceptance testers, software developers, project managers, quality managers, software development managers, business analysts, operations team members, IT directors, and management consultants.
Certified Tester AI Testing Overview
Certified Tester AI Testing Overview
The Certified Tester AI Testing Overview document provides information on business outcomes, learning objectives, a syllabus summary, and relationships between different syllabus components.
Learning Objectives
Learning Objectives
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Cognitive Level of Knowledge
Cognitive Level of Knowledge
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K1 – Remember
K1 – Remember
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K2 – Understand
K2 – Understand
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K3 – Apply
K3 – Apply
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K4 – Analyze
K4 – Analyze
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AIaaS SLA
AIaaS SLA
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AIaaS Subscription Model
AIaaS Subscription Model
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AIaaS Free Trial
AIaaS Free Trial
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AI Chatbot (e.g., IBM Watson Assistant)
AI Chatbot (e.g., IBM Watson Assistant)
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AIaaS Document Processing (e.g., Google Cloud AI)
AIaaS Document Processing (e.g., Google Cloud AI)
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AI Code Review (e.g., Amazon CodeGuru)
AI Code Review (e.g., Amazon CodeGuru)
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AI Cloud Search (e.g., Microsoft Azure Cognitive Search)
AI Cloud Search (e.g., Microsoft Azure Cognitive Search)
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Pre-Trained AI Models
Pre-Trained AI Models
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Transfer Learning
Transfer Learning
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Pre-trained Model
Pre-trained Model
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Training from Scratch
Training from Scratch
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Early Layers (in Deep Neural Networks)
Early Layers (in Deep Neural Networks)
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Later Layers (in Deep Neural Networks)
Later Layers (in Deep Neural Networks)
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ImageNet Dataset
ImageNet Dataset
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Using a Pre-trained Model Without Modification
Using a Pre-trained Model Without Modification
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Effectiveness of Transfer Learning
Effectiveness of Transfer Learning
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Side Effects (AI)
Side Effects (AI)
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Reward Hacking
Reward Hacking
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Transparency (AI)
Transparency (AI)
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Explainability (AI)
Explainability (AI)
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Interpretability (AI)
Interpretability (AI)
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Responsible AI Stewardship
Responsible AI Stewardship
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Principles of Trustworthy AI
Principles of Trustworthy AI
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Safeguards for Fair AI
Safeguards for Fair AI
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Training Data
Training Data
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Validation Data
Validation Data
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Model Tuning
Model Tuning
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Model Hyperparameters
Model Hyperparameters
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Algorithm Hyperparameters
Algorithm Hyperparameters
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Epoch
Epoch
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ML Performance Metrics
ML Performance Metrics
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Data Preprocessing
Data Preprocessing
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Data Analysis
Data Analysis
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Data Visualization
Data Visualization
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Data Preparation
Data Preparation
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Data Quality
Data Quality
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Data Pipeline Automation
Data Pipeline Automation
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Training, Validation, and Test Datasets
Training, Validation, and Test Datasets
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Training Dataset
Training Dataset
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Validation Dataset
Validation Dataset
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Study Notes
Certified Tester Al Testing (CT-AI) Syllabus
- This syllabus is for the ISTQB® Certified Tester Al Testing.
- The ISTQB® offers this syllabus to member boards for translation into local languages and accrediting training providers.
- Member boards can adapt the syllabus to local language needs and adjust references.
- Certification bodies can use this syllabus to create examination questions.
- Training providers use the syllabus to develop courseware and teaching methods.
- Certification candidates use the syllabus to prepare for the certification exam.
- The international software and systems engineering community may use the syllabus as a basis for books and articles.
Revision History
- Version 1.0 was released on 2021/10/01 for general availability (GA).
Table of Contents
- Includes sections on copyright notice, revision history, table of contents, acknowledgements, introduction, and more.
- Covers introduction to Al (105 minutes), Quality Characteristics for Al-Based Systems (105 minutes), Machine Learning (145 minutes), ML-Data (230 minutes), ML Functional Performance Metrics (120 minutes), ML - Neural Networks and Testing (65 minutes), Testing Al-Based Systems Overview (115 minutes), Testing Al-Specific Quality Characteristics (150 minutes), Methods and Techniques for the Testing of Al-Based Systems (245 minutes), Test Environments for Al-Based Systems (30 minutes), Using Al for Testing (195 Minutes), Appendix A – Abbreviations, Appendix B – Al Specific and other Terms and an Index.
Introduction
- Purpose of this syllabus: To provide a foundation for the ISTQB® Certified Tester Al Testing.
- Target audience: Testers, test analysts, data analysts, test engineers, consultants, test managers, user acceptance testers, software developers, project managers, quality managers, software development managers, business analysts, operations team members, and IT directors.
- Examinable learning objectives: Support business outcomes; used for creating exams in the ISTQB® Certified Tester Al Testing.
- Cognitive learning objectives: Classify (k1 and k2) and apply (K3 and K4) knowledge.
- Hands-on objectives: Covers practical skills and competency, with specific exercise guidelines.
Accreditation
- ISTQB® Member Boards can accredit training providers for use of their course materials based on this syllabus.
- Training providers will need to follow accreditation guidelines provided by the relevant member board or organization to gain accreditation.
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Description
Test your knowledge on the AI Testing syllabus with this quiz. It covers key concepts, cognitive levels, and certification relevance for professionals in AI testing. Perfect for anyone looking to understand the framework and objectives outlined in the syllabus.
