Books

Learn to design, build and govern agentic systems as you prepare for the Google Cloud Professional Agentic Architect exam. Study practical architectures and worked examples, then test your understanding with 100 original questions aligned with the public exam objectives.

Your manager calls you into a meeting. Everyone is cheerful. The Head of Sales is there. “We heard AI is really useful for boosting productivity. We’d love to explore how it can help us in Sales.” Your manager agrees. “This is the perfect pilot. Please give us a concept until next week so we can see what we can do.”The follow-up arrives quickly. Sales is overloaded. Everyone is busy serving customers. Nobody has time for a workshop, but they do have Sales.xlsx. That is what you get. The clock is ticking.And then you open Sales.xlsx.You have nothing. No requirements, no workflows, not even a proper data model. What you have is a snapshot of the messy reality Sales is dealing with every day. Customer names, contacts, opportunity values, dates, products, notes, colors that apparently mean something, and a field called Status_Final_2, which tells you enough about its history that asking about Status_Final_1 would probably ruin the afternoon.And then it strikes you: they are not even using the CRM. You do not know why. Nothing you know from IT seems to apply in Sales, and they do not particularly care. They have customers to serve. Whatever happened between the shiny CRM rollout and this spreadsheet happened years ago. Today, Sales.xlsx is the truth.And now, just because AI promises productivity, they are asking for the benefits.How is that even supposed to work?

What connects a mechanical calculator, a modern smartphone, the Internet, and artificial intelligence?Everything.The technologies that define today's digital world did not emerge independently. They are chapters in a much larger story—a story that begins with binary numbers and mechanical calculation and leads to machines capable of learning, generating content, understanding language, and taking action.The Code Revolution follows this extraordinary journey from early computation to intelligent machines.Discover how code became software, software became infrastructure, information became data, data became intelligence, and intelligence is now becoming increasingly autonomous.From Binary to Brains, this is the story of how computing changed the world—and where it may go next.

What if the Bhagavad Gita began with a code review? A Merge Request adds two harmless getters to an immutable Money Value Object. The tests pass. The pipeline is green. Arjuna still cannot approve it. Standing between the DDD Alliance and the Just Ship It Legion, he turns to Krishna for guidance on domain truth, technical karma, architectural duty, knowledge crunching, entropy—and the dangerous illusion that a working implementation must also be a truthful model. The Logs of the Bhagavad Gita is an affectionate, technically serious and occasionally irresponsible encounter between ancient philosophy and modern software development. No framework will attain enlightenment. Your Aggregate Root might.

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.

Your infrastructure isn't a place anymore, it's text in a repo. This book teaches security engineers to read, review, and audit Terraform like an auditor, not a builder, so you know exactly what to look for before someone else's code hits production.

Master automated workflows for your Python code with GitHub Actions for Python Projects. This practical guide covers automated testing, dependency management, coverage reports, documentation builds, and artifact generation to help you build reliable CI/CD pipelines effortlessly.

The six-phase method for delivering AI projects, from the first business question to production monitoring. One chapter per phase, each closing on its deliverables and decision gate, with a single case study running the full length of the book. 82 diagrams, 78 tables, 15 reusable templates, and a certification track for readers preparing PMI-CPMAI.

A practical 2027 guide for Java developers who want to go beyond syntax. Explore Spring Boot, Jakarta EE, REST, security, JVM performance, gRPC, AI, DDD, testing and architecture through concise, real-world chapters designed to help you build better fullstack systems.

Free, code-first Solidity guide - 13 chapters from fundamentals to DeFi, security, gas optimization, and production testing with Foundry.

Ready to learn Python?Whether you're completely new to programming or looking for a simple introduction to one of the world's most popular programming languages, this book is the perfect starting point.Through practical examples, beginner-friendly explanations, and hands-on exercises

What if Emmet Fox’s teaching were approached not as a collection of inspirational quotations, but as a complete system that could be mapped, practiced, and tested? The Inner Laboratory reconstructs the architecture of Fox’s thought, examines its promises without blind devotion, and turns its central ideas into practical methods for attention, prayer, forgiveness, courage, prosperity and action.

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.