Books

From KNN to LLMs: build real AI applications in TypeScript — no GPU required. Implement machine learning from scratch, train neural networks with TensorFlow.js, integrate Google Gemini and OpenAI APIs, run local models with Ollama, build a chess engine with alpha-beta search, and query the world's knowledge graphs with SPARQL — all from the command line.

You have been using AI as a faster keyboard.The engineers who will define the next decade are using it as a cognitive workforce they direct, constrain, and govern. The gap between those two practices is not a matter of better prompts. It is a matter of an entirely different mental model.This book is that mental model. Built from first principles. Illustrated through 28 chapters of real architectural decisions, real failures, and real production systems.From execution to orchestration. The complete practitioner guide.

You don't need another "intro to LLMs" tutorial. You need patterns—proven architectural blueprints that tell you exactly when to use RAG vs. fine-tuning, how to build agents that don't spiral, and why your retrieval pipeline returns garbage. This book gives you 29 of them, with architecture diagrams and working Python code. Free. No fluff. No vendor lock-in.

The most truly passive online business I know is Amazon KDP. If you want to stay anonymous and build a passive online business system the hard way, this book is for you.

Django Ninja Made Simple is your practical, beginner-friendly guide to creating fast, production-ready APIs using Python and Django Ninja. Instead of drowning in theory, you’ll learn by building three real-world projects step by step, gaining the confidence to design, develop, and deploy your own APIs.

AI is an amplifier. It magnifies whatever engineering discipline — or lack of it — already exists, which means the bottleneck was never AI's capability; it is the collaboration space you design around it. This book is a six-level progression from early AI panic to sovereign engineering: the discipline of designing the environment in which human and artificial intelligence produce work worth keeping. It moves past prompting into the practices that compound — verification, habitat engineering, specification-first development, and the platform discipline that scales the practice across teams. The habitat is yours to design. Let's build it well.

Stop treating AI like a deterministic compiler and wondering why your codebase is degrading into hallucinated spaghetti code. Agentic Software Engineering provides the architecture, constraints, and rigorous governance needed to safely transition your team from manual typists to AI Orchestrators.

Move beyond chatbots. Learn how to build autonomous AI agents that execute real business workflows 24/7 and scale operations at a fraction of traditional costs.

You don't fail from bad opportunities. You fail from saying yes to good ones. A practical system for choosing on purpose.

Stop letting your database dictate your business logic. This hands-on guide shows .NET developers how to combine Clean Architecture, Onion principles, DDD and Command Query Separation into a four-layer structure — with a dedicated Facade contract that keeps your domain protected, your tests fast, and your infrastructure replaceable. Real C# code from entity to controller, no theory without practice.

A practical, no-fluff guide to writing clear, complete, and business-aligned User Stories that eliminate confusion and rework. Learn proven templates, checklists, and Acceptance Criteria techniques you can apply immediately in real projects. Now with AI Prompt Cards! Elevate your performance, gain credibility, and transform how your team delivers—starting today.

A practical, real-world guide to gathering software requirements with clarity, confidence, and precision. Learn proven techniques to eliminate ambiguity, reduce rework, and communicate effectively with clients and teams. Upgrade your skills now and stand out at work before poor requirements keep holding you back.

Throughout the book, we use a car-search platform as a unifying example. From ingestingdata about car listings to enriching, it with analytics and providing real-time search results, thisplatform showcases the challenges and opportunities of modern data platforms. By followingits journey, you will gain actionable insights that can be applied to a wide range of domains.Building the software platforms is not just about technology; it’s about solving real-worldproblems with creativity within the given guardrails both financial or engineering. This bookwill be guiding you through every phase of design, implementation, and evolution. Let’s buildthe future of data platforms together.

Digitale Transformation war das Hype-Thema vor KI. Es gibt allerdings einen nicht geringen Anteil an Fach- und Führungskräften, deren Wissen darüber weiter ausbaufähig ist. Dieses Buch ist eine Einführung für alle diejenigen, die keine "digitalen Pioniere" sind, sondern wissen wollen, was aus dem Thema Digitalisierung auf sie zukommen kann und aus dem Thema KI zusätzlich auf sie zukommen wird.

A multimedia prompt-engineering learning ecosystem that helps you move from understanding techniques to applying them through a repeatable workflow and an online Prompt Companion.