Top AI Books to Read in June 2026

Artificial Intelligence continues to reshape industries across the globe, making it essential for students, developers, researchers, and professionals to stay updated with the latest knowledge. These books provide a strong foundation in AI concepts, practical implementation, and future trends.

1. Artificial Intelligence: A Modern Approach
This is considered the most comprehensive textbook on artificial intelligence. Written by Stuart Russell and Peter Norvig, the book covers core AI concepts including problem-solving, machine learning, natural language processing, robotics, and reasoning systems. It is ideal for anyone looking to understand AI from both theoretical and practical perspectives.
Read here: https://aima.cs.berkeley.edu/

2. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Written by Aurélien Géron, this book is perfect for learners who want practical experience building machine learning models. It explains machine learning algorithms, neural networks, and deep learning with hands-on Python examples. It is highly recommended for aspiring AI engineers and data scientists.
Read here: https://www.oreilly.com/library/view/hands-on-machine-learning/9781098125967/

3. Deep Learning
Authored by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, this book is often called the “Bible of Deep Learning.” It provides detailed explanations of neural networks, optimization, sequence modeling, and advanced architectures. This book is ideal for those who want an in-depth technical understanding of deep learning.
Read here: https://www.deeplearningbook.org/

4. Deep Learning with Python
Written by François Chollet, the creator of Keras, this book makes deep learning approachable for programmers. It focuses on practical applications using Python and explains how to build intelligent systems for image recognition, text generation, and predictive modeling.
Read here: https://www.manning.com/books/deep-learning-with-python-second-edition

5. The Hundred-Page Machine Learning Book
This concise yet powerful book by Andriy Burkov explains machine learning concepts in a highly simplified and efficient manner. It is ideal for quick learning and revision, making it perfect for busy professionals and beginners.
Read here: https://themlbook.com/

6. Human Compatible
Written by Stuart Russell, this book explores the future of AI and its ethical implications. It discusses how humanity can ensure AI systems remain aligned with human values as technology becomes increasingly powerful. This is essential reading for understanding responsible AI development.
Read here: https://www.penguinrandomhouse.com/books/566677/human-compatible-by-stuart-russell/

These books offer a balanced combination of theory, hands-on learning, and future-focused insights. Whether you are starting your AI journey or advancing your expertise, these resources will help you stay ahead in 2026.