Books

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.

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.

Build production-grade RAG systems in C# — from an 80-line Hello World to a fully deployed Azure pipeline with the Microsoft Agent Framework, MCP, GraphRAG, multi-agent orchestration, eval gates, and EU AI Act-ready audit trails. 682 pages, 25 chapters, one evolving enterprise project, every line of code runnable in .NET 10.

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.

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

You already know the principles. Then you hit a wall mid-project — the session died, a decision turned out wrong, four pieces have to become one — and knowing the principles isn't the same as knowing what to do. Claude Patterns is ten reusable workflows for exactly those moments: the assemblies you run when principles alone don't get you through.

An LLM is not an AI system.Systems Thinking for Agentic AI shows software engineers and architects how to design reliable AI applications with prompts, RAG, tools, memory, orchestration, guardrails, evaluation, observability, and runtime control.Move beyond chatbot demos and learn how to build production-ready agentic AI systems you can reason about, measure, debug, operate, and improve