Artificial Intelligence

AI made implementation cheap and shared understanding scarce. This is the book about how teams should adapt the process.

FOCUS Architecture presents an opinionated architectural approach for creating simple, organized, and maintainable systems. Instead of multiplying layers and abstractions, the book demonstrates how to structure applications around four components—View, Orchestrator, Use Case, and Repository—thereby reducing the cost of change and simplifying the work for both developers and AI tools.

Two architectures. One choice: process a sequence step by step, or all at once. From that single decision flows almost every difference between RNNs and Transformers: how fast they train, how far they remember, and why parallelism won. A rigorous, diagram-rich comparison that derives the field instead of just surveying it.

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.

Build a complete data pipeline from scratch — no cloud signup needed. Fifteen chapters covering ingestion, loading, data modeling, dbt, Airflow, data quality, streaming, observability, and performance optimization. Everything runs locally with Python and DuckDB.

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!

Designing AI is only half the journey. Learn how to deploy, secure, govern, monitor, and scale Enterprise AI systems for production with practical architectures and proven operational strategies.

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.

Written entirely from a data-first perspective, the book explores how data flows, transforms, and creates value across almost every technical field — from traditional modeling and business intelligence to vector databases, blockchain, and agentic AI. It also dives into data security, software engineering, and quantum computing, blending architectural theory with real-world execution.

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.

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.