The book ¿Machine Learning and Artificial Intelligence in Electronics Design¿ provides a comprehensive overview of how ML and AI are transforming electronics design, beginning with foundational concepts and extending to their application in enhancing and automating traditional workflows. Key areas covered include AI-driven optimization, predictive modelling, and data-driven decision-making within Electronics Design Automation (EDA). Real-world case studies illustrate the significant impact of these technologies across various industries, highlighting their role in driving innovation and improving efficiency in electronic systems development. Techniques like advanced data management, robust validation methods, and scalable algorithms are essential for fully realizing the potential of AI and ML in electronics design. Real-world case studies and examples from industries such as consumer electronics, automotive, aerospace, and healthcare illustrate the transformative impact of AI and ML. In conclusion, the integration of AI and ML into electronics design not only streamlines and optimizes design processes but also opens new avenues for innovation and technological advancement.