Artificial Intelligence (Computer Science – Generative AI)

Description

This eBook provides a comprehensive introduction to Generative Artificial Intelligence (Generative AI) from a computer science perspective. Readers will explore the fundamental concepts behind Large Language Models (LLMs), diffusion models, prompt engineering, AI-assisted coding, image generation, text creation, and intelligent automation. Through practical examples, hands-on activities, and real-world case studies, learners will understand how generative AI technologies are developed and applied across education, business, healthcare, software engineering, marketing, and creative industries. The eBook also discusses AI ethics, responsible usage, copyright considerations, data privacy, model limitations, and emerging trends shaping the future of intelligent systems. Suitable for students, educators, developers, researchers, and professionals, this guide builds a strong foundation in generative AI while encouraging critical thinking and responsible innovation. By the end of this eBook, readers will be equipped with practical knowledge to leverage AI tools effectively, understand their capabilities and limitations, and explore future opportunities in artificial intelligence and digital transformation.