Artificial Intelligence

A language model predicts tokens. An agent acts—and must be held accountable. Learn to replace “prompt and pray” with governed tools, geometric memory, independent verification and auditable runtime controls.

Master Codex CLI from your first prompt to production-ready AI workflows. Learn how to automate coding, streamline development, and use OpenAI's terminal-native coding agent with confidence.

Your AI features are an attack surface. Learn to break them before someone else does — from prompt injection to retrieval poisoning, with hands-on labs.

Build testing agents that observe, reason, act, and evaluate on their own — with the guardrails that keep autonomy from becoming chaos.

L’intelligence artificielle peut écrire du code, mais elle ne décide pas seule de l’architecture. Apprenez pas à pas à concevoir une véritable application d’analyse Bitcoin avec Ruby on Rails, PostgreSQL et l’IA, même si vous débutez en programmation.

Stop writing every test by hand. Direct AI like an editor-in-chief — prompt, generate, curate — without ever shipping a test you don’t understand.

Teach an AI coding agent to drive a real browser. The SKILL.md format, the Playwright CLI, first-party Test Agents, and the token economics that made skills beat MCP.

Large language models are changing the world, yet few people understand how they actually work. This book cuts through the hype, explaining the ideas behind modern AI with clarity, precision, and no unnecessary jargon.

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.