Books

Build the Next Generation of Enterprise AI SystemsCloud-Powered Agentic AI is a practical guide to designing, developing, deploying, and operating production-ready AI applications using Large Language Models (LLMs) and modern cloud-native technologies.From prompt engineering and Retrieval-Augmented Generation (RAG) to AI agents, multi-agent systems, Model Context Protocol (MCP), FastAPI, Docker, Kubernetes, and LLMOps, this book provides a complete roadmap for building scalable, secure, and maintainable AI solutions.Through hands-on examples, architecture diagrams, case studies, and a comprehensive capstone project, you will learn how to move beyond prototypes and engineer enterprise-grade AI systems.Inside this book, you'll learn how to:Build LLM-powered applications from scratchDesign Retrieval-Augmented Generation (RAG) pipelinesDevelop AI agents and multi-agent workflowsIntegrate tools using the Model Context Protocol (MCP)Deploy AI services with FastAPI, Docker, and KubernetesApply LLMOps for monitoring, evaluation, and continuous deliverySecure and govern AI applications in enterprise environmentsBuild a complete cloud-native AI platform from development to productionWhether you are an AI engineer, software developer, cloud architect, or machine learning practitioner, this book will equip you with the practical skills needed to build reliable and scalable AI systems in the era of generative AI.

Artificial Intelligence is no longer the future—it is transforming the way we work, learn, create, and innovate today. Whether you're a student, professional, entrepreneur, freelancer, educator, or software developer, understanding Generative AI is becoming an essential skill.Generative AI Mastery is your practical guide to unlocking the full potential of AI. From mastering prompt engineering and boosting productivity to enhancing business operations, software development, research, writing, creativity, and decision-making, this book provides the knowledge and real-world strategies you need to use AI with confidence.Inside, you'll discover:How Generative AI works and why it mattersEffective prompt engineering techniquesPractical AI applications for work, business, and educationAI tools for writing, coding, research, and creativityEthical AI, privacy, security, and responsible useFuture career opportunities in the age of AIPractical prompts, templates, and implementation strategiesRather than focusing on a single AI tool, this book teaches timeless principles and transferable skills that remain valuable as AI continues to evolve.Whether you're just beginning your AI journey or looking to maximize your professional potential, Generative AI Mastery will help you work smarter, innovate faster, and thrive in the age of Artificial Intelligence.

Build AI agents that go beyond conversation._ AI Agents Mastery_ is a practical guide to designing, building, deploying, and scaling autonomous AI agents for real-world applications.Learn how to combine LLMs with tools, APIs, workflows, memory, state, retrieval, automation, security, monitoring, and human oversight to create capable and reliable AI agent systems.From the fundamentals of agent architecture to production deployment and responsible autonomy, this book provides an end-to-end framework for turning AI-agent ideas into practical applications.Learn the principles. Build the systems. Deploy with confidence.

Legacy modernization is an evidence problem before it is a code-generation problem. Use Claude Code to recover hidden behavior, build a verification harness, and move critical systems in controlled, reversible slices without handing production decisions to AI. Includes 26 practical chapters, 86 diagrams, and a runnable companion lab.

Turn a small language model into an AI agent that runs on your own hardware. This practical guide takes you from choosing a base model to fine-tuning, tool use, evaluation and deployment. With reproducible code and real configurations throughout, you'll learn how to build specialized local agents that are capable, efficient and truly yours.

Specification Engineering turns complex ideas into clear, workable specifications. This practical guide takes you from core principles to advanced methods for defining, validating, managing and evolving requirements across products, software, systems and services. Built for real-world use, it gives you the tools to create specifications that people can understand and act on.

They say AI is coming for junior developers first. This is a junior's honest case for the opposite: how driving agents well, on real legacy code, makes you level up faster instead of getting left behind. The failures are left in.

Domine a arquitetura de sistemas de IA autônomos. Um guia completo cobrindo motores de raciocínio, memória de longo prazo, orquestração multiagentes, otimização de custos e o Model Context Protocol (MCP). O livro definitivo para arquitetos e desenvolvedores.

面向智能体重度用户的实战可靠性手册：不教造智能体、不教提示词技巧、不做产品测评； 每天用智能体 2 小时以上、已配多个工具、需要一套可预算 / 可监控 / 可验收的运营方法的实践者；

ChatGPT can save you time, sharpen your ideas and change the way you work, but only if you know how to use it well. This practical guide takes you from your first prompt to advanced techniques, with real-world examples for writing, research, coding, business and creativity. Learn what works, what doesn’t and how to get better results every day.

Vectors, embeddings, retrieval, agents, and evaluation are all built from first principles inside the chapter that needs them. No mathematics. No machine learning background. No prior AI experience and no framework knowledge is required. We build with plain Python and small, single-purpose libraries.  

What if your AI didn’t just answer questions—but solved problems?Imagine an AI that doesn’t just chat—it plans, reasons, and takes action. An AI that can fetch data, run diagnostics, collaborate with other agents, and even handle your most tedious tasks—all while you focus on what matters.Google’s Agent Development Kit (ADK) makes this possible,

Build smarter AI applications with Redis at the core. This practical guide shows you how to use vector search, RAG, semantic caching, agent memory and real-time inference to create fast, scalable systems. With runnable Python examples throughout, you’ll learn how to take AI projects from prototype to production.

当 AI 能替你写代码，真正的危险不是它写错，而是你以为它不会错。

Unlock the full potential of Qwen 3.8 with a practical guide built for real results. Learn the techniques behind stronger prompts, avoid common mistakes, and create reliable outputs for coding, research, business, creative projects and AI agents with clear examples you can use right away.