Looking for artificial intelligence books? We've gathered 19 free AI books in PDF, covering deep learning, neural networks, generative AI, natural language processing, and computer vision.
These books range from classic AI textbooks to the latest research on large language models and prompt engineering. Whether you're a student, a developer, or just curious about how AI works, there's something here for you.
Browse our top picks or explore by topic. Every book is free to read online or download as PDF.
Artificial Intelligence Textbooks
These textbooks cover the big ideas behind artificial intelligence. Topics range from machine learning and neural networks to AI ethics, creative AI, and the latest global trends.
Stanford's authoritative annual report tracking AI progress worldwide. Covers benchmarks, investment trends, policy developments, and the rise of GPT-4, Gemini, and generative AI in 2023.
Comprehensive 3rd edition (2024) textbook covering AI fundamentals through the lens of library and information science. Covers chatbots, language models, LLMs, NLP, and evaluation methods.
Critical exploration of AI-driven art and machine creativity. Examines generative art, machine vision, and the cultural implications of AI in creative fields.
UC Berkeley Haas School playbook on identifying and mitigating AI bias. Provides seven strategic plays for business leaders to build and deploy AI responsibly and equitably.
Deep learning powers most modern AI systems. These books explain neural network architectures, backpropagation, and training techniques with clear examples.
Includes Michael Nielsen's popular introduction and a historical survey by Jürgen Schmidhuber with 888 references.
Concise introduction to deep learning covering foundations, model components, architectures (CNNs, Transformers), and applications in image generation, text synthesis, and reinforcement learning.
Authoritative historical survey of deep learning with 888 references. Covers supervised, unsupervised, and reinforcement learning approaches in deep neural networks from their origins to 2014.
Collection of open access research on deep learning methods and applications. Covers CNN architectures, medical imaging, plant disease detection, underwater robotics, and reinforcement learning.
Generative AI is changing how we write, code, and create. These books explain how large language models work and how to use prompt engineering to get better results.
Google's official guide to prompt engineering covering LLM configuration, sampling controls, zero-shot and few-shot prompting, chain-of-thought, ReAct, and best practices for working with AI models.
The gold standard NLP textbook from Stanford and CU Boulder. Covers tokenization, language models, transformers, LLMs, machine translation, speech recognition, and information extraction.
Comprehensive NLP textbook covering text classification, sequence labeling, parsing, semantics, information extraction, machine translation, and dialogue systems with mathematical rigor.
Open access Springer textbook on pre-trained language models. Covers BERT, GPT, T5, multimodal models, and applications in question answering, summarization, and dialogue systems.
Computer vision teaches machines to see and interpret images. These books cover object detection, image recognition, and hands-on programming with Python.
Hands-on guide to computer vision using Python with PIL, NumPy, and SciPy. Covers image processing, feature detection, camera models, panorama creation, object recognition, and 3D reconstruction.
Academic collection covering CNN optimization, object detection (YOLO), semantic segmentation, medical imaging, aerial imagery, and face recognition with deep learning approaches.
A People's Guide to AI - accessible introduction covering everyday AI, algorithms, machine learning, and equity. Includes hands-on workbook activities for non-technical audiences.
Norwegian Data Protection Authority guide on AI and GDPR compliance. Covers machine learning basics, algorithmic bias, data minimisation, and privacy-friendly AI development recommendations.
Microsoft and World Travel & Tourism Council guide explaining AI fundamentals, algorithms, data, computing power, types of AI, and generative AI with clear visuals and practical examples.
Practical guide for college students navigating the AI era. Covers GenAI tools, academic integrity, AI ethics, career implications, and responsible AI use with actionable advice.
These artificial intelligence books cover everything from foundational textbooks to the latest research on generative AI and large language models. Pick one and start reading.
