Informatyka
Building a Cyber Resilient Business. A cyber handbook for executives and boards
Dr. Magda Lilia Chelly , Shamane Tan,...
With cyberattacks on the rise, it has become essential for C-suite executives and board members to step up and collectively recognize cyber risk as a top priority business risk. However, non-cyber executives find it challenging to understand their role in increasing the business’s cyber resilience due to its complex nature and the lack of a clear return on investment.This book demystifies the perception that cybersecurity is a technical problem, drawing parallels between the key responsibilities of the C-suite roles to line up with the mission of the Chief Information Security Officer (CISO).The book equips you with all you need to know about cyber risks to run the business effectively. Each chapter provides a holistic overview of the dynamic priorities of the C-suite (from the CFO to the CIO, COO, CRO, and so on), and unpacks how cybersecurity must be embedded in every business function. The book also contains self-assessment questions, which are a helpful tool in evaluating any major cybersecurity initiatives and/or investment required.With this book, you’ll have a deeper appreciation of the various ways all executives can contribute to the organization’s cyber program, in close collaboration with the CISO and the security team, and achieve a cyber-resilient, profitable, and sustainable business.
Lee Zhi Eng
In the wake of the indie game development scene, game development tools are no longer luxury items costing up to millions of dollars but are now affordable by smaller teams or even individual developers. Among these cutting-edge applications, Blender and Unity stand out from the crowd as a powerful combination that allows small-to-no budget indie developers or hobbyists alike to develop games that they have always dreamt of creating.Starting from the beginning, this book will cover designing the game concept, constructing the gameplay, creating the characters and environment, implementing game logic and basic artificial intelligence, and finally deploying the game for others to play. By sequentially working through the steps in each chapter, you will quickly master the skills required to develop your dream game from scratch.
Ludovic Dewailly
REST is an architectural style that tackles the challenges of building scalable web services. In today’s connected world, APIs have taken a central role on the web. APIs provide the fabric through which systems interact, and REST has become synonymous with APIs.The depth, breadth, and ease of use of Spring makes it one of the most attractive frameworks in the Java ecosystem. Marrying the two technologies is therefore a very natural choice.This book takes you through the design of RESTful web services and leverages the Spring Framework to implement these services. Starting from the basics of the philosophy behind REST, you’ll go through the steps of designing and implementing an enterprise-grade RESTful web service. Taking a practical approach, each chapter provides code samples that you can apply to your own circumstances.This book goes beyond the use of Spring and explores approaches to tackle resilience, security, and scalability concerns. You’ll learn techniques to deal with security in Spring and discover how to implement unit and integration test strategies.Finally, the book ends by walking you through building a Java client for your RESTful web service, along with some scaling techniques for it.
Sai S Sriparasa
This is a step-by-step, tutorial guide designed to help readers transition from beginners to more experienced developers using clear explanations. The variety of examples will help readers build, secure, and host real-time web applications. If you are a developer who wants to use PHP and MariaDB to build web applications, this book is ideal for you. Beginners can use this book to start with the basics and learn how to build and host web applications. Seasoned PHP Developers can use this book to get familiar with the new features of PHP 5.4 and 5.5, unit testing, caching, security, and performance optimization.
Anjanava Biswas, Wrick Talukdar, Matthew R. Scott,...
Gain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks.Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents.Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.
Vasyl Zvarydchuk
Large language models can produce impressive demos, but turning them into reliable products takes more than better prompts. You need to understand model behavior, know when to use retrieval or fine-tuning, structure agents correctly, and evaluate systems before deployment.Building Agent-Powered Applications gives an end-to-end engineering perspective on creating production-ready generative AI solutions. Written by Microsoft Principal AI Engineer Vasyl Zvarydchuk, it helps software engineers, data scientists, and applied AI practitioners move from concept to implementation. You’ll begin with AI, NLP, embeddings, transformers, and LLM behavior, then progress to prompt engineering, summarization, classification, extraction, reasoning, RAG, and fine-tuning.The book shows how to design agentic workflows with tools, memory, planning, orchestration, and human-in-the-loop controls. You’ll learn to evaluate quality with offline and online testing, task-specific metrics, LLM-as-a-judge methods, and responsible AI checks. Rather than treating prompting, RAG, fine-tuning, and agents as separate topics, this book shows how they work together in practice. By the end, you’ll be able to make better architectural trade-offs, reduce failure modes, and build scalable, trustworthy AI applications.*Email sign-up and proof of purchase required
Henry Habib
Everyone’s talking about AI agents, but how do you build one that works in the real world? Not a toy demo, but an agent that solves real problems, saves time, and integrates into workflows. With vague frameworks, fragmented tooling, and endless hype, most developers are left without a clear path. The hardest part isn’t technical; it is knowing where to start.This book gives you that starting point. It’s a complete guide to building intelligent AI agents and agentic systems using the official OpenAI Agents SDK. It begins by grounding you in the core concepts, design principles, and architecture of AI agents, how they differ from other traditional systems, their advantages, and why that matters.Through practical step-by-step projects, you’ll master every feature of the SDK—tools, memory, RAG, multi-agent orchestration, tracing, handoffs, and more—while contributing to an end-to-end agent system that grows in complexity. Projects include a custom support agent, invoice and inventory assistant, health advisor, sales trainer, and data analyst, giving you production-ready skills.By the end, you’ll know how to design, build, and deploy agentic systems that interact with APIs, query databases, hand off to external systems, and drive meaningful outcomes. You won’t just understand AI agents; you’ll be ready to ship them.
Hanane Dupouy, Fayssal El Mofatiche
AI agents are rapidly changing how financial systems analyze information, make decisions, and automate complex workflows. While many resources explain agentic AI concepts at a high level, few show how to design and deploy AI agents that work reliably in real financial environments. This book fills that gap. You will start by learning what AI agents are, how they differ from non-agentic systems, and when agentic architectures are the right choice. Next, explore core design patterns, memory management strategies, AI agents frameworks , and reasoning paradigms such as ReAct, reflection, self-consistency, LATS , and multi-agent collaboration across various architectural styles. You will apply these concepts through practical Python labs and deep-dive finance use cases, including fundamental analysis, research, trading, insurance, and compliance. Next, you will learn how to evaluate agent behavior, implement guardrails, and add tracing and observability to ensure safe and reliable operation. Finally, focus on operationalization and Responsible AI, covering cost and latency trade-offs, scaling strategies, human-in-the-loop systems, and ethical considerations required in regulated financial settings. By the end, you’ll know how to design, evaluate, and deploy finance AI agents that deliver real business value.