The system design book for the AI era. Five complete end-to-end designs (chat service, RAG, content moderation, coding assistant, multi-modal platform), a structured six-step framework, and chapters on cost optimization, reliability, and observability — all with realistic capacity estimates and production-grade code.
Stop using AI to "write a blog post" and start building systematic marketing workflows. Fourteen chapters covering content strategy, copywriting, social media, email sequences, SEO, paid ads, visual content, analytics, automation, brand voice, and ethics — each with a ready-to-deploy playbook artifact.
The practical AI guide written for teachers, not techies. Fourteen chapters covering lesson planning, grading, differentiation, content creation, special education, academic integrity, and classroom policy — each with ready-to-use templates and prompts. Build a complete AI teaching toolkit chapter by chapter.
بتحرق فلوس إعلانات والنتيجة صفر؟ خوارزميات 2026 مبترحمش اللي شغال بالطريقة القديمة. الدليل ده هو "الزتونة" اللي هتعلمك تبني ماكينة محتوى بالذكاء الاصطناعي تجيبلك عملاء جاهزين يدفعوا، بدل ما تجيب لايكات وهمية. اتعلم إزاي تخلي الـ AI يشتغل عندك.. مش مكانك!
Enterprise AI is more than LLMs and chatbots. Learn how to design secure, scalable, and production-ready AI systems using a vendor-neutral architecture that connects data, models, agents, APIs, governance, and enterprise integration into one modern AI stack.
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.
Turn OpenAPI schemas into exhaustive test suites, wire Pact contracts between services, and let semantic fuzzers hunt the bugs random ones miss.
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.