Books

Everyone has seen the demo. This book is about what comes after: an engineer's guide from promising agent prototype to a system you can trust with real work — 26 chapters through contracts, orchestration, reliability, cost, security, and the operator practice. Updated quarterly. Buy once — every update is free.

Artificial Intelligence is transforming how we work, create, and solve problems. Agent AI is a clear, jargon-free guide to Generative AI and AI Agents, explaining how modern AI really works and how to use it effectively. No programming or technical background required—just practical insights, real-world examples, and a roadmap to the future of AI.

The CCAR-P exam tests judgment, not trivia. This scenario-based guide covers all seven domains, from solution design and RAG to governance and stakeholder communication, with 62 sketchnote figures, chapter quizzes, a distractor appendix that explains every wrong answer, and a full 63-question practice exam.

Deep learning is transforming the world, and this book provides a clear, practical path to mastering it. Through concise explanations and hands-on Python examples, you will learn to build, train, optimize, and deploy neural networks with confidence for real-world applications.

Build enterprise PHP applications faster with AI-assisted coding, architecture, testing, security, APIs, databases, DevOps, cloud workflows, and practical reusable prompts.

Before the dawn of AI, Software Development was a constant growth career. It still is, but the tools changed over night! Now it's not just your knowledge that needs to grow, but also your skill with the tools! While video courses can be great, nothing beats practice! This book collects 10 simple exercises to advance your agentic development and process engineering. How far can you get in 10 Days?

PyTorch stops feeling like magic when tensors, shapes, autograd, and training loops finally make sense. Build your understanding from the ground up with clear explanations, runnable code, and no GPU required.

Mathematical Foundations of AI and Data Science: Discrete Structures, Graphs, Logic, and Combinatorics in Practice transforms abstract mathematical concepts into practical tools for computational problem-solving.Explore logic, set theory, relations, functions, combinatorics, discrete probability, graph algorithms, trees, algebraic structures, Boolean systems, recurrence relations, optimization.

Built around the CISO's Decision Journey — a five-stage loop of Assess, Govern, Defend, Monitor, and Improve — this book across fourteen chapters moves from the AI threat landscape and the regulatory environment to threat modelling and red teaming, a layered security-controls architecture, AI incident response, the AI-assisted SOC, and a 90-day programme roadmap.

Build a powerful AI assistant that runs entirely on your own hardware. The Ollama Assistant Handbook takes you from installation to a production-ready assistant with memory, tools, voice, vision, and automation through practical, hands-on examples you can use immediately.

Most businesses use only a fraction of what Claude can actually do. The difference between average results and real business impact is not the AI. It is the prompt. This book gives you 100 proven Claude prompts for solving high-value business problems, complete with practical guidance so you can implement them immediately and turn AI into a competitive advantage.

Advanced Prompt Engineering for LLMs: 2026 Techniques That Actually Deliver Results takes readers beyond basic instructions and introduces a complete system for working with modern Large Language Models.Discover how to:• Apply powerful frameworks such as RACE and TREE • Build advanced multi-layer prompts • Use meta-prompting to create and improve prompts • Design specialized expert personas