Best Artificial Intelligence Books of 2025

The fourth edition of "Artificial Intelligence: A Modern Approach" is a comprehensive guide to the field of AI. This book presents the latest technologies and concepts in a more unified manner, offering new or expanded coverage of machine learning, deep learning, natural language processing, and more. It also covers important topics such as privacy, fairness, and safe AI. The book is a must-read for anyone interested in AI and its potential impact on society.

Superintelligence: Paths, Dangers, Strategies is a thought-provoking book that delves into the future of humanity and intelligent life. Nick Bostrom raises important questions about the consequences of machines surpassing human intelligence and whether they will save or destroy us. The author's interdisciplinary approach, combining knowledge from engineering, natural sciences, medicine, social sciences, and philosophy, provides a comprehensive analysis of the subject. The book is a New York Times bestseller and highly recommended by Bill Gates. Overall, Superintelligence is a groundbreaking and ambitious work that offers a reconceptualization of the essential task of our time.

In "Build a Large Language Model (From Scratch)," bestselling author Sebastian Raschka takes readers on a comprehensive journey through the intricacies of creating, training, and fine-tuning large language models. The book provides clear guidance on each step, from initial design to practical applications, enabling readers to develop their own LLMs using just a laptop. What sets this book apart is its hands-on approach, allowing readers to engage deeply with the technology without relying on existing libraries. Raschka's practical insights make this a must-read for anyone interested in the foundations of generative AI.

The Business Case for AI is a practical guide for business leaders who want to implement AI in their organizations. The author, Kavita Ganesan, provides real-world examples to help readers identify high-impact AI opportunities, prepare for AI transitions, and measure AI performance. The book covers the Three Pillars of AI success and offers a systematic framework for testing and evaluating the value of AI initiatives. It is a simple yet compelling guide that does not require any technical knowledge. Overall, The Business Case for AI is a valuable resource for leaders who want to jumpstart their AI strategy or manage their AI initiatives for better outcomes.

Artificial Intelligence Basics by Tom Taulli offers a non-technical introduction to the vast world of AI, highlighting its significance across various industries such as healthcare, finance, and transportation. The book explores essential concepts like machine learning and natural language processing while addressing broader societal implications and ethical considerations. Taulli’s engaging writing style makes complex topics accessible, making it an invaluable resource for anyone looking to understand AI's impact on both business and daily life. This book stands out for its practical insights and real-world case studies, equipping readers with the knowledge necessary to navigate the evolving tech landscape.

"Using Artificial Intelligence Absolute Beginner’s Guide" by Michael Miller is an accessible introduction to the world of AI, designed for those who are new to the subject. The book covers various AI tools, offering practical tips for applications like writing, image generation, and research, while also addressing the potential risks and ethical considerations associated with AI technology. Miller's ability to simplify complex topics makes this guide particularly valuable for beginners. Overall, this book stands out for its comprehensive yet straightforward approach, making it an essential read for anyone looking to harness the power of AI in their daily lives.

"AI Engineering: Building Applications with Foundation Models" by Chip Huyen provides a comprehensive guide to developing AI applications using readily available foundation models. The book distinguishes AI engineering from traditional machine learning engineering and offers insights into model evaluation, application development, and deployment strategies. Huyen's expertise in data analytics on GPUs enhances the book's credibility. This resource stands out for its accessible approach, making complex concepts understandable for readers with minimal AI experience. Overall, it's a valuable addition for anyone looking to navigate the evolving AI landscape and build impactful applications.

Artificial Intelligence: A Modern Approach, 3e is a comprehensive textbook that introduces the theory and practice of artificial intelligence, making it suitable for both undergraduate and graduate courses. Authored by Stuart Russell and featuring contributions from notable figures like Dr. Peter Norvig, this book stands out for its depth and accessibility. The inclusion of a free online course from Stanford further enhances its value, extending learning opportunities beyond traditional classrooms. Overall, this book is a must-have resource for anyone interested in the evolving field of artificial intelligence, combining rigorous academic insight with practical applications.

"Artificial Intelligence For Dummies" serves as a comprehensive introduction to the rapidly evolving field of AI, offering readers insights into how these systems function and their implications for everyday life. The book demystifies complex concepts, making them accessible to beginners while covering the latest trends and ethical considerations in AI usage. Overall, this guide stands out for its clarity and practical approach, empowering readers to navigate the AI landscape confidently. Whether you're curious about the future of technology or seeking ways to leverage AI in your life, this book is an invaluable resource.

Artificial Intelligence For Dummies is a must-read for anyone who wants to understand the basics of AI. The book covers everything from data use, algorithms, special hardware, and more. It simplifies this complex topic for anyone who wants to understand what operates the devices we can't live without. You'll learn about how AI speeds up data gathering and analysis to help you make informed decisions more quickly. The book is an excellent starting point for anyone who wants to separate the reality of artificial intelligence from the hype.