Author Description

AI Testing Demystified A Comprehensive Handbook" is your essential companion for navigating the evolving landscape of AI testing. Providing detailed insights into the historical evolution of software testing and the emergence of AI. From foundational concepts to advanced topics like machine learning models, data quality, and bias mitigation, each chapter is crafted with easy-to-understand language and enriched with real-world examples. Readers will explore hands-on examples, practical exercises, and case studies from various industries, gaining practical experience in AI testing. The book emphasizes the importance of AI testers in today's technology-driven world, outlining career opportunities, skill development strategies, and specialization areas. The concluding chapters shed light on emerging trends in AI testing, highlighting the intersection of AI with DevOps, test automation, and security testing. Concluding with a thoughtful exploration of the future journey for AI testers, the book includes appendices featuring a glossary of AI and testing terms and a curated list of valuable resources. Whether you are a seasoned testing professional or aspiring to enter the field, this guide is your go-to resource for mastering AI testing, ensuring you are well-equipped to excel in the ever-evolving realm of software quality assurance.