Introduction to AI Testing

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.

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

• 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