Introduction to AI Testing

Guide to ISTQB® CT-AI Certification

Häftad, Engelska, 2025

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Beskrivning

Foreword by Klaudia Dussa-Zieger, President of ISTQB®This book offers a comprehensive introduction to artificial intelligence and machine learning fundamentals, equipping software testers with the skills to effectively leverage AI-powered solutions for testing complex systems and AI applications. It also fully prepares readers for the ISTQB® Certified Tester AI Testing (CT-AI) certification exam. Written in a practical and accessible style, this book offers a structured approach to AI testing based on the ISTQB® CT-AI syllabus. It includes practical examples, detailed explanations, industry insights, a mock exam and chapter-based questions to help readers succeed in the ISTQB® CT-AI exam.This book is designed for newcomers and seasoned practitioners involved in testing AI-based systems as well as those seeking a deeper understanding of AI systems in general. It offers valuable insights into implementing AI-enabled solutions and enhancing the quality of AI-driven software, making it an indispensable resource.ISTQB® is a registered trademark of the International Software Testing Qualifications Board.

Produktinformation

Utgivningsdatum:2025-09-16
Mått:170 x 224 x 22 mm
Vikt:602 g
Format:Häftad
Språk:Engelska
Antal sidor:340
Förlag:BCS Learning & Development Limited
Medarbetare:Klaudia Dussa-Zieger
ISBN:9781780177182

Utforska kategorier

Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

This book was co-authored by a cross-functional team of Exactpro colleagues. It is an educational effort grounded, in equal parts, in Exactpro’s ISTQB®-accredited AI Testing training course and the diversity of the authors’ skillsets that spans academic backgrounds, industry research and practice, economics, creative and visual thinking, marketing and linguistics.

Recensioner i media

This book, with the ISTQB® CT-AI syllabus as a backbone, does more than simply prepare readers for certification. It enhances and enriches its content with numerous theoretical and practical examples, rigorously contextualizing the principles while making them accessible to IT quality professionals, and anyone interested in analyzing and understanding this new social phenomenon. It is a solid reference and a valuable resource, not only for passing the certification, but also far beyond, for testing AI or testing with AI. Without a doubt, an essential bedside book for the new generation of QA-ers, and for the older ones that want to keep abreast with progress.Olivier Denoo, Vice President of the ISTQB, President of CFTL, Vice President of ps_testware SAS

Innehållsförteckning

Chapter 1: Introduction to AIChapter 2: Quality Characteristics for AI-based SystemsChapter 3: Machine Learning OverviewChapter 4 Machine Learning DataChapter 5: Machine Learning Functional Performance MetricsChapter 6: Machine Learning Neural Networks and TestingChapter 7: Testing AI-based Systems OverviewChapter 8: Testing AI-specific Quality CharacteristicsChapter 9: Methods and TechniquesChapter 10: Test Environments for AI-based SystemsChapter 11: Using AI for Testing