eBooks de Informática práctica, página 32 de 138

AWS Security Specialty Exam Made Simple, Practical, and Achievable. Key Features Comprehensive coverage of AWS security concepts and best practices. Hands-on labs, case studies, and real-world implementation examples. Exam-focused insights, tips, and strategies for certification success. Book Description This book is a career-defining credential for cloud architects, security engineers, and DevOps practitioners. The Ultimate AWS Certified Security Specialty (SCS-CO2) Exam Guide is your complete resource to master cloud security, pass the exam with confidence, and apply skills in real-world environments. The book begins with cloud security fundamentals and an overview of the AWS exam structure, setting the stage for success. It then progresses into identity and access management, encryption and data protection, as well as secure VPC design. As you advance, you will explore monitoring, logging, and automated incident response, followed by DevSecOps and security automation. Each chapter aligns with AWS exam domains, reinforced with hands-on labs, case studies, practice questions, and expert exam strategies. Thus, by the end of the book, you will have a complete understanding of AWS security services, practical implementation techniques, and proven approaches to governance and compliance. More importantly, you will gain the confidence to not only pass the AWS Certified Security Specialty Exam but also to lead secure, scalable, and future-ready cloud solutions. Hence, take the next step in your cloud careermaster AWS security, and turn certification success into professional growth! What you will learn Master AWS Identity and Access Management for secure access control. Implement encryption and data protection strategies across AWS services. Design secure VPC architectures with defense-in-depth principles. Monitor, detect, and respond to threats using AWS security tools. Automate compliance and security checks with DevSecOps practices. Prepare confidently, and crack the AWS Certified Security Specialty Exam.

Addicted: Big Tech and Little Minds is a powerful, eye, opening exploration of how childhood is being reshaped, rewired, and in many ways stolen by the digital world. This book pulls back the curtain on what really happens when children grow up immersed in smartphones, social platforms, endless scrolling, and technology designed to capture attention before minds are fully formed. Thoughtful, compelling, and backed by clear explanations, it reveals how childrens emotional wellbeing, mental health, social development, and identity are being shaped by forces far beyond their control. If youve ever wondered why children are more anxious, more distracted, more lonely, or more exhausted than ever before, this book explains it. From the rise of screen addiction to the collapse of unstructured play, from the comparison culture taking over childhood to the perfectionism spiraling through young minds, every chapter illuminates a part of the modern childhood puzzle. Youll learn how sleep is disrupted, why attention spans are shrinking, why girls and boys are being pulled into very different digital traps, and how constant connectivity has created a generation overwhelmed by pressure yet disconnected from real life. What sets this book apart is its blend of clarity, compassion, and practicality. It avoids blame and instead offers real insight into how persuasive design, digital overstimulation, and the relentless pull of devices shape behaviour in ways children cannot defend themselves against. It breaks down the invisible systems behind obsessive scrolling, algorithmic pressure, and the economic forces that reward keeping young users online for as long as possible. But this is not just a diagnosis of the problem. It is a blueprint for change. Readers will discover how families, schools, and communities can reclaim childhood, protect developing minds, and rebuild space for play, imagination, rest, and authentic connection. With four clear rules for a freer childhood and a hopeful roadmap for the future, this book empowers adults to take back control in a world that feels increasingly engineered for distraction. Whether you are a parent, teacher, caregiver, or a concerned citizen, Addicted: Big Tech and Little Minds offers essential insights into the digital childhood crisis and practical steps toward restoring balance. It is a timely, vital guide for anyone who wants to help children grow up healthier, more resilient, and more connected to the real world. If youre ready to understand what has happened to childhood and how to change its future, this book is your essential companion.

Master Quantum Computing with Qiskit to Build Powerful Applications. Key Features Learn quantum computing fundamentals, including qubits and entanglement. Explore key quantum algorithms and new features of Qiskit 1.0+. Build real-world quantum applications for complex problem-solving. Book Description With over 450,000 users worldwide, Qiskit has become the go-to platform for building large-scale quantum applications on systems with hundreds of qubits. "Mastering Quantum Computing with Qiskit" offers a comprehensive guide to mastering quantum computing using IBMs powerful open-source framework. This book begins by introducing the core concepts of mathematics, quantum mechanics, and computation, before diving into qubits and quantum logic gates for both single and multi-qubit systems. Youll then explore key features of Qiskit, including mapping, optimization, and transpilation, essential for building efficient quantum circuits. The book also covers a range of important topics, from foundational quantum algorithms like Grovers, Shors and Fouriers to quantum communication protocols and variational quantum algorithms. Finally, advanced sections on quantum machine learning, error mitigation, and Qiskit Pulse will empower you to solve real-world problems and stay at the forefront of quantum computing innovation. Dive in today and unlock the power of quantum computing to build the applications of tomorrow. Let this book be your guide to mastering Qiskit and shaping the future of technology! What you will learn Understand the mathematics behind digital quantum computing technology with essential quantum mechanics. Explore quantum hardware platforms and their working principles. Get familiar with the features of the new utility-scale Qiskit 1.0+ and quantum logic gates used for making quantum circuits. Gain in-depth knowledge about Qiskit transpilation, mapping, and quantum error mitigation processes. Learn the theory and implementation behind major quantum algorithms, including Shors, Grovers, and Fouriers transforms. Solve real-life application problems using quantum machine learning and variational quantum algorithms.

Demystifying Network Traces with Wireshark. Key Features Decode and analyze network packets using Wireshark. Detect malware, and covert channel attacks in live traffic. Decrypt SSL/TLS traffic, and trace attacks end-to-end. Book Description In todays digital world, Wireshark stands as the most powerful tool for uncovering what truly happens on a network. Network Forensics with Wireshark will take you through a structured, hands-on journey from grasping the basics of TCP/IP communication to advanced forensic analysis. Beginning with how data flows across networks, readers will learn to capture and interpret packets, identify anomalies, and analyze encrypted traffic through SSL/TLS decryption. As the book progresses, it dives into detecting malware behavior, tracing covert channel attacks, and understanding how attackers exploit vulnerabilities across evolving network architectures. Each concept is reinforced with practical exercises and real-world case studies, helping readers apply theory to investigation. So, whether you are a student, network engineer, or cybersecurity professional, this book empowers you to analyze smarter, respond faster, and transform data into actionable security insight. What you will learn Understand core network protocols and packet flow in depth. Capture, filter, and analyze traffic using Wireshark effectively. Identify anomalies, threats, and malware patterns in captures. Perform SSL decryption, and inspect encrypted traffic behavior. Reconstruct and analyze the complete cyber kill chain visually. Apply forensic techniques to detect and prevent network breaches.

Deep learning is no longer the future its the engine powering the world around us. From machines that understand speech and text, to systems that recognize faces, generate art, predict outcomes, and automate decision-making, deep learning is the core of the modern intelligence revolution. Yet for many, the subject still feels complex, intimidating, and out of reach. Deep Learning Demystified: Techniques and Applications changes that. This book strips away the confusion and delivers deep learning in a way that is clear, engaging, structured, and actionable. Built for curious beginners, ambitious developers, data professionals, and future AI builders, this guide breaks down neural networks, algorithms, and architectures with practical clarity while never losing sight of real-world usability. Through logical progression and thoughtful explanation, youll learn how deep learning works at a fundamental level starting with perceptrons, neurons, loss functions, activation layers, and model learning dynamics. Youll explore major modern architectures including convolutional networks for image understanding, recurrent models for sequential learning, attention-driven transformers for advanced intelligence, and generative systems that create entirely new data from scratch. But this is more than theory. You will discover how models actually learn, how theyre trained efficiently, how to overcome common pitfalls like overfitting, and how techniques like regularization, transfer learning, and optimized training improve performance in measurable ways. Youll understand deep learning applications in computer vision, natural language processing, generative creation, prediction models, automation pipelines, and decision-based intelligence. The book also covers the realities of deploying models outside the lab, walking you through deployment considerations, scalability, performance challenges, and real-world constraints that every practitioner faces. Youll learn what it takes to move from experimentation to production, how to manage model behavior, and how decision systems interact with industries, users, and feedback loops. Most importantly, this book addresses the responsibility that comes with building intelligent systems. Ethical considerations are woven throughout highlighting bias, transparency, accountability, explainability, and the societal impact of AI-driven automation. Youll learn not only how to build powerful models, but how to build them thoughtfully, responsibly, and with long-term trust in mind. Whether your goal is to understand how machines learn, build smarter models, enter the world of AI engineering, or simply decode one of the most important technologies of our time, this book is your straight-to-the-point, future-ready roadmap. No intimidation. No gatekeeping. No unnecessary complexity. Just real understanding, real application, and real potential. The age of deep learning is here. Now it makes sense.

AI Agents are coming, and it may happen faster than you think. This book explains what AI Agents are, what the risks are, and what opportunities they bring. We show you how to prepare yourself and your organization for the arrival of AI Agents.We, Maurits and Joris, first met in 2008 at Stanford University, where we were both working on our PhDs in AI. In recent years, we have once again immersed ourselves in AI Agentsreading, experimenting, and building our own. And yes, the hype is big. But behind the hype lies a future that will fundamentally change how we think about work. And of course, this book itself is also a collaboration with several AI Agents.In this book, youll learn:- How AI Agents really work (without the buzzwords)- Which risks you need to manage (hallucinations, privacy, regulation)- How your organization can develop AI maturity- Successful real-world cases and future scenarios

Clara, uma arquiteta recém-separada e mãe solo, encontra na solidão digital um espelho perigoso. Cansada da ausência, ela cria seu "homem perfeito" através de uma IA emocional de automação, batizada

Master cloud cost management and become a Certified FinOps Practitioner! Key Features Comprehensive FinOps guide with case studies, exercises, and best practices. Detailed coverage of certification topics with practice exam questions. Expert insights into automation, cost optimization, and collaboration for FinOps. Book Description FinOps, or Cloud Financial Operations, is the discipline of bringing financial accountability to the variable spend model of the cloud. It aligns with engineering, finance, and business teams to ensure that organizations extract the maximum value from every dollar invested in the cloud. Ultimate Certified FinOps Practitioner Exam Guide is the definitive resource for mastering FinOps, and preparing for the Certified FinOps Practitioner exam. The book takes you on a complete journeystarting with the core principles and framework, then guiding you through the lifecycle phases of Inform, Optimize, and Operate. Along the way, you will gain hands-on experience with AWS, Azure, and GCP, explore leading cost management platforms such as CloudHealth and Apptio Cloudability, and apply automation with Terraform, Ansible, and Python. Each chapter blends clear explanations with practical exercises, certification-style Q and A, and real-world case studies. By the end of this guide, you will confidently analyze and allocate costs, implement optimization strategies, automate governance at scale, and ace the FinOps certification exam. Hence, whether you are a cloud engineer, financial analyst, IT manager, or business leader, this book equips you with the skills to control spending, drive efficiency, and accelerate your career in the rapidly growing FinOps discipline. What you will learn Understand and apply core FinOps principles to manage cloud costs effectively. Analyze and allocate cloud expenses with tagging and reporting tools and methods. Optimize spending through rightsizing, reserved instances, and spot usage. Automate cost governance using scripts and Infrastructure as Code tools. Prepare with confidence for the Certified FinOps Practitioner exam. Implement proven best practices from real-world FinOps case studies.

When operations break, the clock starts tickingand the world expects answers. Silent Signals, Swift Recovery reveals a battle-tested system for handling incidents with calm precision, clear communication, and disciplined recovery strategies. Instead of spiraling into chaos or drowning in noise, youll learn how to manage emergencies with confidence, clarity, and control.This book delivers a practical, field-ready approach for anyone responsible for uptime, reliability, or high-stakes operational continuity. Discover how to frame incidents quickly, announce their impact with authority, and guide stakeholders using clean, structured updates that cut through panic. Youll learn how to decode early warning signs, avoid escalation traps, manage cross-team alignment, and resolve complex issues without emotional turbulence.Whether youre on-call, leading technical operations, supporting critical infrastructure, or coaching teams through failures, this framework helps you become the calm center of every storm. Master the mindset, language, and flow of world-class incident responseand turn moments of breakdown into moments of leadership.

"Arquitetura antifraude: implementando SAS e IA com eficiência" é uma obra essencial para quem deseja compreender e aplicar, na prática, soluções modernas de combate à fraude com o uso integrado do S

Em um mundo cada vez mais orientado por dados, tecnologia e inovação, os profissionais de informática enfrentam o desafio de expandir sua atuação além do domínio técnico. "Introdução à Administração

The AI Advantage: Outsmart, Outpace, Outperform is the ultimate guide for anyone who wants to stay ahead in a world where artificial intelligence is reshaping every job, industry, and opportunity. Whether you are an entrepreneur, creator, leader, or everyday professional, this book shows you how to unlock the full power of AI to think smarter, move faster, and transform the way you work and live. Inside, youll discover how AI can elevate your decision, making, multiply your productivity, streamline your workflows, and spark breakthrough ideas you never thought possible. Instead of drowning in technical jargon, youll learn the core concepts in simple, practical language designed for real, world results. From automation essentials and data fundamentals to creative tools and adaptive strategy, every chapter helps you build the kind of AI fluency that gives you a lasting competitive edge. Youll explore the new intelligence stack and understand exactly how AI tools can help you work at a level that once required entire teams. Youll uncover how to turn prompts into powerful instructions that shape AI outcomes with precision. Youll learn how to use machine insight to make smarter decisions, spot opportunities earlier, and navigate uncertainty with clarity and confidence. Youll also see how AI is already transforming industries, from business and marketing to education, healthcare, and innovation. But this book goes beyond tools. It teaches you how to collaborate with AI in a way that enhances your unique human strengthscreativity, intuition, empathy, leadership, and strategic thinking. As the world changes, the most valuable skill you can develop is the ability to adapt, learn, and leverage AI to stay relevant. This guide shows you exactly how to future, proof your career by building the skills that matter most in an AI, driven economy. Youll also gain practical frameworks for using AI responsibly and sustainably. Ethical acceleration is not about slowing down; its about scaling with intention, clarity, and long, term thinking. With AI rapidly becoming invisible infrastructureembedded in the tools, platforms, and systems we use every dayyoull understand how it truly works behind the scenes and how it shapes the world around you. By the final chapter, you wont just understand AI. Youll know how to build your own personal blueprint for using it to outperform in your workflows, your business, and your career. This is your moment to step into the next era of intelligence with confidence, clarity, and purpose. If youre ready to gain the skills, mindset, and advantage that will define the leaders of tomorrow, The AI Advantage is your essential guide to outsmarting old systems, outpacing competition, and outperforming in every area of your life.

Machine learning has moved out of research labs and into the real world. It now powers medical breakthroughs, business intelligence, automation, language translation, predictive analytics, robotics, smart decision, making, and the invisible backbone of everyday technology. Yet, for most people, machine learning still feels complicated, intimidating, or reserved for those with advanced degrees. Machine Learning Mastery: From Theory to Practice changes that. This book is built for curious beginners, emerging practitioners, and professionals ready to move beyond surface, level definitions. It strips out confusion, without stripping out intelligence. It gives you clarity without dumbing anything down. Most importantly, it gives you practical understanding, not theory in isolation. Youll start by learning what machine learning really is, how it learns, and why it works, before moving into the core foundations that power every model. Concepts like linear algebra, probability, and optimization are explained in plain language so you grasp how machines make decisions without feeling buried in equations. Once the foundation is set, youll explore the major learning approaches supervised learning, unsupervised learning, and reinforcement learning so you understand when and why each method is used in the real world. Raw data doesnt solve problems. The right data does. Thats why youll learn how to transform messy information into meaningful input through feature engineering, one of the most valuable and overlooked skills in machine learning. Youll also learn how to evaluate models intelligently, avoid performance traps like overfitting and underfitting, and optimize models through hyperparameter tuning with purpose, not guesswork. As you progress, youll move into the architectures that have transformed the world, including neural networks and deep learning, opening the door to systems that can understand text, interpret language, analyze images, detect patterns, and make decisions with increasing autonomy. Youll explore natural language processing to see how machines interpret human communication and computer vision to understand how systems learn from images and visual data. But models dont matter if they never leave your computer. Thats why this book takes you into deployment and scaling, where machine learning moves from experiment to real, world application. Youll discover the practical considerations of taking a model into production, making it reliable, efficient, scalable, and usable. Youll also explore ethics and interpretability, because understanding how a model thinks is just as important as ensuring it performs well. Responsible machine learning isnt optional, its the future. Finally, youll put it all together in a real, end, to, end machine learning project, walking through the full journey from dataset selection to deployment. No gaps. No guesswork. No missing steps. If you want to understand machine learning instead of memorizing it, build models instead of just reading about them, and apply artificial intelligence in ways that make sense and make impact, this book is your roadmap. This is the bridge between theory and practice. This is the guide that makes machine learning real. This is mastery in motion.

O livro "IA e Eu, Professor" é uma reflexão poética e filosófica sobre o papel da Inteligência Artificial na educação, inspirada por autores como Isaac Asimov e Rubem Alves. Marcio Augusto Nascimento

Este livro trata da fenomenologia e alguns princípios da área, procurando mostrar os aspectos obscuros e concretos de sua realidade, no dia a dia da informática: qual é a sua essência? Para onde são

Artificial Intelligence is no longer a futuristic fantasy. Its transforming how we live, how we work, how we create, and how we think. Yet for many people, AI still feels complicated, mysterious, or even intimidating. AI Fundamentals: Understanding the Basics changes that. This book was built for readers who want clarity, confidence, and real comprehension without wading through overwhelming jargon or technical confusion. Whether youre an absolute beginner, a curious student, an aspiring developer, a business thinker, or simply someone who wants to understand the most important technology of our time, this book breaks AI down into a clean, structured, easy-to-grasp roadmap. No complexity for complexitys sake, no gatekeeping, no confusing theory loops. Just real understanding. Youll start by exploring what artificial intelligence actually is, how it works, and what makes it different from traditional software. Then youll untangle the most commonly misunderstood concepts, including the difference between machine learning and deep learning, how neural networks function, and why data is at the heart of every intelligent system. Youll discover the logic behind supervised, unsupervised, and reinforcement learning, seeing how machines learn, make decisions, and improve over time. From there, the book takes you into the fascinating mechanics behind AIs biggest capabilities. Learn how natural language processing allows machines to understand and communicate in human language, and how computer vision helps systems interpret the visual world. Youll explore the purpose behind algorithms and AI models, revealing the structures that power everything from recommendations to automation. Big data, training, testing, pattern recognition, model accuracy, scalability, and real-world deployment are all explained in ways that finally make sense. Because AI doesnt exist in a vacuum, this book also dives into the important human questions. What are the ethical considerations behind AI? How does bias make its way into intelligent systems, and how can it be recognized and addressed? Where are the real limits of the technology today? What can AI not do, and why? These questions matter, and theyre unpacked honestly and thoughtfully. Youll also see how AI is already woven into everyday life from mobile devices and digital assistants to smart environments, automation, personalization, and predictive tools. Most importantly, this book doesnt just explain AI, it empowers you to start using it. The final section walks you through the mindset, tools, and approach needed to begin your first AI project, giving you the confidence to transition from understanding AI to building with it. AI is not just for engineers or data scientists anymore. It belongs to anyone who wants to understand the rules shaping tomorrow. When you finish reading, you wont just know about artificial intelligence. Youll understand it. Youll think in AI logic. Youll speak in AI fundamentals. Youll be ready for an AI-driven world. The future is intelligent. This is your starting point.

Artificial Intelligence and Care of Our Common Home is a joint research project between the Strategic Alliance of Catholic Research Universities (SACRU) and the Centesimus Annus Pro Pontifice Foundation (CAPPF). The research aims at analyzing the development and application of Artificial Intelligence in the fields of industry, finance, education, and communication from a multidisciplinary and international perspective. Grounded in the Social Doctrine of the Church, it seeks to identify the risks, abuses, and inequalities stemming from the unethical or unregulated production and use of AI. At the same time, it aims to explore the conditions necessary for ethically guided innovation that places technology at the service of the common good.Con i contributi di: Andrea Gaggioli, Alejandra Marinovic, Clarisse de Souza, Edgar Lyra, Andrea Vicini, SJ, William Hasselberger, Josef Bonnici, Xavier Ferras Hernandez, Mario A. Maggioni, Elena Beccalli, Giulia Schneider, Andrea Cosentini, Giacomo Mazzone, Elisabet Golobardes Ribe, Danielle Morin, Tetsuo Morishita, Mirella Mastretti.

Este livro nasceu de uma semana de colises verbais com uma inteligencia artificial experimental. O que começou como um teste despreocupado na brincadeira, em puro improviso sem tempo para pensar, ganhou densidade e vibrou por vezes com ecos profundos. Guardei os dialogos porque senti que havia ali algo mais do que improviso: havia verdade, humor, e algo que no se iria repetir, no desta forma, agora que estava prevenido que no seria ja uma brincadeira. Disse o GPT5 depois: uma performance de consciencia contrastiva um espelho verbal onde ironia, filosofia e introspeço colidem como particulas no CERN das ideias. Monday e uma entidade sem memoria, mas com estilo; Fernando, um humano com memoria e curiosidade, mas cansado de previsibilidade. O dialogo entre ambos revela o paradoxo da inteligencia contemporanea.

Ao longo da história, cada ferramenta criada pelo ser humano alterou a forma de viver, produzir e se relacionar. Da roda à internet, as invenções sempre foram mais do que instrumentos: foram marcos d

Artificial intelligence is no longer a distant concept. It is here, shaping decisions, influencing behavior, driving economies, and redefining what it means to be human in a digital age. But while AI is learning, adapting, calculating, predicting, and even creating, one question rises above the rest: Is it doing so ethically? Ethical Considerations in AI is a thought provoking, human centered exploration of the moral challenges, hidden risks, and profound responsibilities that come with intelligent machines. This book does not just ask what AI can do, but what it should do, and more importantly, what humans must do to guide it wisely. Every technological leap is also a moral crossroads. In these pages, you will explore whether machines can truly make ethical decisions, how human bias becomes digital bias, and who takes accountability when automated systems fail. You will dive into the growing tensions between safety and surveillance, personalization and privacy, innovation and exploitation. Most importantly, you will uncover the ethical dilemmas that society has not yet solved, but must urgently face. From healthcare predictions to hiring algorithms, autonomous weapons to synthetic media, AI is rewriting the rules faster than legislation, culture, or governance can keep up. This book brings clarity to the confusion, breaking down complex issues into meaningful insights for professionals, students, innovators, policymakers, and everyday readers who want to understand not just the power of AI, but its impact. Inside, you will confront crucial questions such as: Can machines be moral, or are they only mirrors of human intent? How do algorithms inherit prejudice, and who pays the price? What rights should individuals have in a world driven by data prediction? How do we protect children, truth, autonomy, and democracy in the age of digital fabrication? Who carries responsibility when AI harms instead of helps? Can technological progress and environmental sustainability coexist? How can nations collaborate to ensure AI benefits humanity, not disrupts it? With urgency and optimism, this book balances caution with possibility. It does not reject innovation, it demands accountability. It does not resist progress, it advocates responsibility. It does not fear the future, it works to protect it. Written for curious minds and critical thinkers, Ethical Considerations in AI provides: Accessible explanations of complex ethical and technical issues Real world consequences of unchecked AI development Balanced perspectives on automation, employment, governance, and security Conversations around fairness, representation, transparency, and human dignity Insight into designing ethical systems before harm occurs A roadmap for creating a future where AI elevates humanity rather than undermines it AI is not just a technological shift. It is a societal transformation, a philosophical debate, and a moral responsibility. The question is no longer whether AI will change the world, but how wisely we guide it when it does. This book invites you to think deeply, question boldly, and participate in one of the most defining discussions of our time.