ISTQB AI Tester | Introduction to the Course | AI Tester Certification | ISTQB Tutorials

TM SQUARE
13 Dec 202212:19

TLDRWelcome to the ISTQB AI Tester certification tutorial series by TM Square. This series introduces the fundamentals of AI and ML while preparing you for certification. The certification, launched in 2021 and publicly available since 2022, is internationally recognized by the non-profit ISTQB. It requires the CTFL certification as a prerequisite and consists of 40 multiple-choice questions to be completed in 90 minutes. The course covers 11 chapters on AI and ML concepts, testing methodologies, and using AI for testing. The syllabus is divided into knowledge levels K1 to K4, ensuring a comprehensive understanding of AI testing.

Takeaways

  • 📘 ISTQB AI Tester certification is a specialized course for those interested in AI and ML fundamentals and getting certified in AI testing.
  • 🎓 The certification was introduced in 2021, reviewed, approved, and made publicly available in 2022.
  • 🌐 ISTQB is a non-profit organization based in Belgium that globally recognizes and certifies QA professionals.
  • 🔍 All certifications under ISTQB are internationally recognized and can be showcased as part of a professional portfolio.
  • 📚 There are various certifications offered by ISTQB, including core level, agile specific, and domain-specific certifications for specialist testers.
  • 📝 The prerequisite for the AI Tester certification is the CTFL (Certificate in the Fundamentals of Software Testing) certification.
  • 📊 The exam type for AI Tester certification is objective, with multiple-choice questions, some of which may have multiple correct answers.
  • ⏱ The examination consists of 40 questions to be answered in 75 minutes, with a passing score of 65% of the total marks.
  • 📆 Examinations are not conducted daily and need to be scheduled in advance, with options for both offline and online proctored exams.
  • 📚 The AI Tester syllabus is comprehensive, covering 11 chapters on AI and ML concepts, testing methodologies, and AI in testing.
  • 🔑 The knowledge levels (K1 to K4) indicate the depth of understanding required for different topics in the syllabus, ranging from basic recall to complex analysis.

Q & A

  • What is the ISTQB AI Tester certification about?

    -The ISTQB AI Tester certification is a program designed to educate and certify professionals in the field of artificial intelligence and machine learning testing. It covers fundamental concepts and prepares individuals to become AI testers, ensuring they have the necessary knowledge and skills to work in AI testing roles.

  • When was the ISTQB AI Tester certification introduced and made publicly available?

    -The ISTQB AI Tester certification was initially introduced in 2021, underwent several reviews, and was made publicly available in 2022.

  • What is the role of ISTQB as an organization?

    -ISTQB, or the International Software Testing Qualifications Board, is a non-profit organization based in Belgium. It is responsible for recognizing and certifying QA professionals worldwide, ensuring their qualifications are internationally recognized and can be showcased as part of their professional portfolio.

  • What are the prerequisites for the ISTQB AI Tester certification?

    -To be eligible for the ISTQB AI Tester certification, candidates must first be certified with CTFL (Certified Tester Foundation Level), which is the most fundamental certification offered by ISTQB.

  • What is the examination structure for the ISTQB AI Tester certification?

    -The examination for the ISTQB AI Tester certification consists of 40 multiple-choice questions, with some questions having multiple selections. The total possible marks are 47, and candidates are given 16 minutes to complete the exam.

  • How is the ISTQB AI Tester certification valid?

    -All fundamental and Foundation level certifications of ISTQB, including the AI Tester certification, are lifetime valid. This means that once certified, individuals do not need to retake the examination even if the syllabus changes in the future.

  • What is the passing criteria for the ISTQB AI Tester certification exam?

    -The passing criteria for the ISTQB AI Tester certification exam is 65 percent of the total marks. With a total of 47 marks possible, candidates need to score at least 31 marks to pass.

  • What are the different chapters covered in the ISTQB AI Tester certification syllabus?

    -The ISTQB AI Tester certification syllabus covers 11 chapters, ranging from an introduction to AI, quality characteristics of AI-based systems, machine learning, testing concepts, methods and technologies for AI testing, and using AI for AI testing.

  • What are the different knowledge levels (K levels) in the ISTQB AI Tester certification syllabus?

    -The ISTQB AI Tester certification syllabus includes four knowledge levels: K1 (remember), K2 (understand), K3 (apply), and K4 (analyze). These levels indicate the depth of understanding required for each topic in the examination.

  • How can candidates prepare for the ISTQB AI Tester certification exam?

    -Candidates can prepare for the ISTQB AI Tester certification exam by going through the detailed syllabus, understanding the examination structure, and utilizing available resources such as tutorials and study materials. They can also schedule their examination in advance and choose between online or offline examination options.

Outlines

00:00

📚 Introduction to ISTQB AI Tester Certification

This paragraph introduces a new tutorial series on the ISTQB AI Tester certification. The series aims to educate viewers on the fundamentals of AI and ML, preparing them for certification. The ISTQB (International Software Testing Qualifications Board) is a non-profit organization based in Belgium that certifies QA professionals worldwide. The certifications are internationally recognized and can be showcased as part of a professional's portfolio. The video provides an overview of the ISTQB, its certifications, and the importance of the CTFL (Certified Tester Foundation Level) as a prerequisite for the AI Tester certification. The examination structure, syllabus, and preparation timeline are also briefly discussed.

05:02

📝 Exam Details and Certification Pathway

This paragraph delves into the specifics of the ISTQB AI Tester certification exam. It highlights the prerequisite of being CTFL certified and the exam format, which consists of multiple-choice questions, some with multiple correct answers. The exam has 40 questions with a mix of K3 and K4 level questions, totaling 47 marks. The passing criteria is set at 65%, or 31 marks out of 47. The exam duration is 16 minutes, and scheduling is necessary as exams are not conducted daily. The paragraph also mentions the availability of both online and offline examination options. The certification is valid for life, with no need for re-certification or maintenance.

10:03

🌟 Comprehensive AI Tester Syllabus Overview

The final paragraph provides an in-depth look at the AI Tester certification syllabus, which is divided into 11 chapters. It covers topics from an introduction to AI, quality characteristics of AI systems, machine learning, data, neural networks, and testing concepts. Each chapter is designed to build a comprehensive understanding of AI testing. The syllabus also includes the application of AI in testing and the various methods and technologies used. The paragraph concludes with a discussion on the K-levels of knowledge required for the exam, ranging from remembering (K1) to analyzing (K4). The video promises an engaging and informative learning experience for those interested in AI testing.

Mindmap

Keywords

💡ISTQB

ISTQB stands for International Software Testing Qualifications Board. It is a non-profit organization based in Belgium that is responsible for recognizing and certifying software testing professionals worldwide. In the video, ISTQB is introduced as the organization that offers various certifications for QA professionals, including the AI Tester certification which is the focus of the tutorial series.

💡AI Tester Certification

The AI Tester Certification is a specialized certification introduced by ISTQB in 2021 and made publicly available in 2022. It is designed to prepare individuals for a career in artificial intelligence as a QA professional. The certification is mentioned as the main subject of the tutorial series, with the aim of helping viewers understand its fundamental concepts and prepare for the certification exam.

💡Fundamental Concepts

Fundamental Concepts refer to the basic principles and theories that form the foundation of a subject. In the context of the video, these are the core ideas of AI and ML that the AI Tester Certification covers. The script mentions that the tutorial series will help viewers understand these fundamental concepts, which are essential for anyone looking to get certified or step into the field of AI as a QA professional.

💡Machine Learning (ML)

Machine Learning is a subset of artificial intelligence that provides systems the ability to learn and improve from experience without being explicitly programmed. In the video, ML is one of the key topics that the AI Tester Certification covers. It is mentioned in the script as a fundamental concept that will be explored in the tutorial series, with a dedicated chapter discussing ML data, functions, performance, and neural networks.

💡Certification Pathway

The Certification Pathway refers to the sequence of steps or requirements that one must fulfill to obtain a certification. For the AI Tester Certification, the prerequisite is to be certified with CTFL (Certified Tester Foundation Level), as mentioned in the script. This pathway ensures that individuals have a foundational understanding of testing before specializing in AI testing.

💡Objective Examination

An Objective Examination is a type of test where answers are based on specific, correct responses, typically in the form of multiple-choice questions. The script explains that the AI Tester Certification exam is objective, with multiple-choice questions, some of which may have multiple correct answers, reflecting the nature of certain AI testing scenarios.

💡Syllabus

The Syllabus refers to the outline of topics and subjects covered in an educational course or examination. In the video, the syllabus for the AI Tester Certification is outlined, with 11 chapters covering various aspects of AI and ML, from introduction to AI, quality characteristics, ML concepts, to AI system testing methods and technologies.

💡Knowledge Levels (K-Levels)

Knowledge Levels, denoted as K-Levels, categorize the depth of understanding required for exam questions. The script mentions K1 to K4 levels, where K1 requires basic recall, K2 involves understanding, K3 necessitates application, and K4 demands analysis. These levels help candidates gauge the complexity of the certification exam questions and prepare accordingly.

💡Proctor-Based Examination

A Proctor-Based Examination is a test that is supervised by a proctor, ensuring the integrity of the examination process. The script mentions that candidates can opt for an online proctor-based examination for the AI Tester Certification, allowing them to take the test from home while maintaining exam security.

💡Quality Characteristics

Quality Characteristics refer to the attributes that define the quality of a product or system. In the context of AI systems, as discussed in the script, these characteristics are non-functional parameters that are tested to ensure the system meets certain standards. The tutorial series will delve into these characteristics and how they are assessed in AI-based systems.

💡Exam Structure

Exam Structure outlines the format and components of an examination, including the number of questions, marking scheme, and duration. The script details the exam structure for the AI Tester Certification, which consists of 40 multiple-choice questions to be answered in 75 minutes, with a passing criterion of 65% of the total marks.

Highlights

Introduction to the ISTQB AI Tester certification course.

Fundamental concepts of AI and ML for QA professionals.

Preparing for AI Tester certification with ISTQB.

The certification was introduced in 2021 and publicly available since 2022.

ISTQB is a non-profit organization based in Belgium.

ISTQB certifications are internationally recognized.

Overview of various certifications offered by ISTQB.

AI Tester is a specialist certification added to ISTQB.

Core level certifications and their roles in testing.

Domain-specific certifications for specialist testers.

ISTQB certifications are lifetime valid with no need for re-examination.

Prerequisite for AI Tester certification is the CTFL certification.

AI Tester exam consists of 40 multiple-choice questions.

Exam duration is 75 minutes with a passing score of 65%.

Online and offline examination options are available.

11 chapters cover different concepts of AI and ML for testing.

Different knowledge levels (K1 to K4) for exam questions.

AI testing certification provides a fundamental understanding for a career in AI testing.

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