Computer und IT
Mastering Circuit Analysis
This book is your essential guide to mastering the fundamentals of electrical analysis. Starting with direct current (DC), it explores batteries, current, voltage, and key concepts like Ohm’s Law and Kirchhoff’s Laws for circuit analysis. Progressing to advanced topics, you'll learn about mesh analysis, superposition, Thevenin’s and Norton’s Theorems, and transient analysis, including time constants and DC RL/RC circuits. The journey continues with alternating current (AC), covering RMS values, phasors, complex numbers, and AC RLC circuits used in radio receivers. The final chapter dives into the world of magnets and magnetic circuits. Throughout, simulations using TINA 12 ECAD software demonstrate the accuracy of the methods discussed. This book equips engineers with the essential knowledge and skills to excel in electrical analysis. By mastering these foundational topics, readers will build the confidence and expertise needed to achieve qualifications and design innovative systems with ease. What You'll Learn Understand DC fundamentals, including batteries, current flow, and voltage.Analyze DC and AC circuits using Ohm’s Law, Kirchhoff’s Laws, and advanced methods like superposition.Explore transient analysis with time constants and DC RL/RC circuits.Master AC concepts such as RMS values, phasors, and AC RLC circuits.Simulate and validate circuits using TINA 12 ECAD software. Who is This Book For Students on electrical engineering courses or hobbyists who wants to learn about DC and ac circuit theories. Chapter One “Electrical Current”.- Chapter Two “The Fundamental Theories”.- Chapter Three “Analyzing Circuits with Multiple Sources”.- Chapter Four “DC RL Transient Analysis” .- Chapter Five “DC CR Transient Analysis” .- Chapter Six “The UK Mains Voltage”.- Chapter Seven “The Series and Parallel RLC Circuit” .- Chapter Eight “Analysis of ac Circuits”.- Chapter Nine “Analysis of Magnetic Circuits”.- Chapter TEN “Using TINA 12” .
MC Microsoft Certified Azure AI Fundamentals Study Guide
Your comprehensive guide to preparing for the Azure AI Fundamentals certification exam The MC Microsoft Certified Azure AI Fundamentals Study Guide is your one-stop resource for complete coverage of the challenging AI-900 exam. This Sybex Study Guide covers the entirety of the AI-900 objectives. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content, including an assessment test that validates and measures exam readiness, real-world examples and scenarios, and challenging chapter review questions. Reinforce and remember what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the Azure AI Fundamentals exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Artificial Intelligence workloads and considerationsFundamental principles of machine learning on AzureComputer vision workloads on AzureNatural Language Processing (NLP) workloads on AzureGenerative AI workloads on Azure ABOUT THE AZURE AI FUNDAMENTALS CERTIFICATION The Azure AI Fundamentals certification demonstrates your knowledge of machine learning and AI concepts and related Microsoft Azure services. This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of basic cloud concepts and client-server applications. You can use Azure AI Fundamentals to prepare for other Azure role-based certifications. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the examComprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared A fast and efficient prep handbook for the Azure AI Fundamentals certification exam In MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900, experienced software engineer Adora Nwodo walks you through every technical topic you need to understand to succeed on the AI-900 certification exam and build a fundamental understanding of Azure AI features. The Study Guide uses the proven and popular Sybex approach to help you use Azure AI in the real-world, whether you're in a technical or non-technical role. Nwodo offers clear explanations, step-by-step instructions, and visual aids to guide you through essential AI concepts and shows you how to use them in the Azure cloud. You'll learn about: Artificial intelligence concepts and workloadsResponsible AI use in AzureCore concepts in AI models and solutionsIntroduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and moreThe application of machine learning concepts on the Azure cloud platformComputer vision in AzureNatural language processing conceptsGenerative AI conceptsThe Azure OpenAI ServiceExample AI use cases and industry-specific applications The MC Microsoft Certified Azure AI Fundamentals Study Guide highlights best practices for industry newcomers and veterans alike and builds the confidence you need to pass the AI-900 certification exam on your first attempt. Inside the book: Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improveCarefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basisComplimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms Perfect for everyone preparing for the AI-900 certification exam, the Microsoft Certified Azure AI Fundamentals Study Guide is also a must-read for technical and non-technical professionals—especially those working in AI-impacted industries like sales and marketing—who wish to expand their AI skillset and improve their effectiveness at work. ABOUT THE AUTHOR ADORA NWODO is a software engineer, author, and speaker with extensive experience in building and managing large-scale distributed systems. She’s an expert in cloud computing, distributed systems, and DevOps tooling.
The Evolune Metaverse
Welcome to "Evolune," a far-reaching adventure set in the year 11000, where the frontiers of Virtual Reality (VR), AI, Blockchain technology, and the Metaverse converge. In this advanced future, we explore the profound capabilities of a metaverse platform known as Evolune, which enables you to jump between universes. This realm is ruled by the powerful King Duncan and his corporate empire, The Gnos. This narrative intertwines with a mission to secure the potent Evolune energy, navigate diverse planetary systems, and resist the tyranny of The Gnos. As you step into the role of an astronaut, warrior, and scientist, this book serves as both a guide and a companion. Each chapter, depicted as a unique planet within the Evolune universe, delves into the intricacies of cutting-edge technologies. With a focus on Generative AI solutions, the revolutionary potential of blockchain, and the transformative capabilities of computational graphics, we embark on a journey to unravel these complex domains. Through a blend of immersive storytelling, detailed technical descriptions, and practical insights, the narrative is designed to demystify these technologies while integrating the lore of Evolune. Part fiction, part field guide, The Evolune Metaverse caters to a diverse audience—from Metaverse and spatial computing visionaries and blockchain developers to Generative AI engineers and technology enthusiasts and is tailored to broaden your horizons and deepen your comprehension of these rapidly evolving fields. We discuss practical applications, ethical considerations, and visionary future directions of AI, Blockchain, and the Metaverse to equip you with the knowledge and skills necessary to innovate and excel. You Will: Explore key developments in, virtual reality (VR) and digital twins business applicationsLearn about the revolution of spatial computing with a focus on VR glasses and consumer headsets Learn the latest in hyper-realistic graphic design Explore Machine Learning/Generative AI solutions Understand Blockchain technologies, the use of smart contracts and its applications Understand the legal, ethical and security implications This is for: Metaverse, VR and spatial computing developers, game designers, blockchain developers and othertech enthusiasts who are interested in the latest developments of VR, metaverse and the decentralised web. Chapter 1: Planet Celestor - Introduction to Artificial Intelligence and the Metaverse Chapter.- 2: Generative AI Solutions for Creativity and Prediction on Planet Tibara Chapter.- 3: Blockchain: The Foundation of Digital Trust on Planet Tenrai.- Chapter 4: Planet Epsilon: Synergies Between AI, ML, Blockchain, and Beyond.- Chapter 5: Planet Zeta: Unveiling the Metaverse and Digital Twins.- Chapter 6: Powering the Pixel: The Evolution of GPUs and Their Role in Modern Computing.- Chapter 7: Planet Eta - Navigating Legal, Ethical, and Security Landscapes in the Digital Age.- Chapter 8: Planet Vire -- The Apex of Digital Realism and Spatial Interaction.- Chapter 9: Planet Synthara -- Blueprints for Integrated Digital Ecosystems.- Chapter 10: The Next Wave: Projecting the Evolution of AI and Decentralized Technologies.- Epilogue.
Assembly Language Reimagined
Learning assembly language won’t make you a faster programmer. It won’t enable you to create portable, write-once, run-anywhere programs. So why learn it? The answer is that it will make you a better programmer. Author John Schwartzman takes a fresh look at low-level programming and explores how to write programs using the BIOS and glibc. This laboratory-based book aids the writing of high-level structured programs by showing what the processor can and can’t do and how it does it. You’ll take apart high-level structured C/C++ and show what the CPU is doing at every stage of the program. The book introduces programs and activities throughout the development process, providing sample code, makefiles, and shell scripts for each example program. With the help of Assembly Language Reimagined you’ll become a more capable and versatile computer engineer. What You will Learn Explore a new perspective on the Intel x64 microprocessor for low-level programmingUnderstand what a processor is doing while a high-level structured computer language program is being run Solve problems with the help of software. See why assembly language programming is essential for every serious student of computer science Who This Book Is For Embedded Linux and Assembly developers, engineers and programmers, hobbyists from the Maker community, as well as college and graduate level students who have some prior knowledge of a structured high-level language like C or C++ 1: Using BIOSServices.- 2: Using BIOS Services.- 3: Prefer glibc Over Calls to the BIOS.- 4: Passing Information to a Program on the Command Line.- 5: Using Macros and Passing Arguments on the Stack.- 6: Conditional Compilation and Conditional Builds.- 7: Recursion.- 8: Using Floating Point Registers.- 9: The commaSeperate Utility Program.- 10: The hhmmss Utility Program.- 11: Creating a Shared Library.- 12: Sorting an Array of Integers.- 13: Sorting and Array of Strings.- 14: Finding, Reading and Sorting File and Directory Information.- 15: Creating and Solving a Linked List.- 16: Creating and Sorting a Linked List.- 17: Reading and Sorting File and Directory.- 18: Reading File and Directory Information.- Afterword.- Appendix A.
MC Microsoft Certified Azure Fundamentals Study Guide
Your complete Guide to preparing for the Microsoft Certified Azure Fundamentals exam The MC Microsoft Certified Azure Fundamentals Study Guide, Second Edition is your comprehensive resource for start-to-finish coverage of the challenging AZ-900 exam. This Sybex Study Guide covers every AZ-900 objective. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content, including, assessment tests that validate and measure exam readiness, objective maps real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and remember what you’ve learned with the Sybex online learning environment and test bank. Get prepared for the Microsoft Certified: Azure Fundamentals exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Cloud conceptsAzure architecture and servicesAzure management and governance ABOUT THE MC AZURE FUNDAMENTALS CERTIFICATION The Azure Fundamentals certification is perfect for those getting started with cloud-based services, both IT technicians and members of other business disciplines such as sales and marketing. Focused on Azure services and general cloud fundamentals, it provides a solid working knowledge of Azure. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with 2 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the examComprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared The fastest and most effective way to learn the fundamentals of Azure cloud technology and prepare for the AZ-900 certification exam The newly updated second edition of MC Microsoft Certified Azure Fundamentals Study Guide is an accurate and up-to-date roadmap to the AZ-900 certification exam and a reliable, effective resource for everyone seeking to learn about or reinforce their knowledge of Azure services, pricing, security and compliance, resource management, and more. In the book, experienced Microsoft Principal Customer Success Account Manager and long-time author, Jim Boyce, covers every foundational Azure competency, including: General and foundational cloud conceptsAzure Core Services, including architecture, subscription and billing options, data services, and virtual machinesAzure Core Networking Services, like virtual networks, load balancers, and VPN gatewaysSecurity, compliance, privacy, and trust featuresAzure Solutions, like AI and machine learning, serverless computing, and IoTAzure pricing, service levels, and lifecyclesAzure Resource creation and management Ideal for technical and non-technical professionals alike, this straightforward Study Guide draws on the proven Sybex model to explain core Azure features and concepts. It will get you ready to succeed on the widely used AZ-900 certification test and elevate your understanding of Azure cloud software, improving your day-to-day performance in any role that directly or indirectly intersects with the cloud platform. Inside the book End-of-chapter review questions, with answers and explanations, you can use to measure your progress and help you focus on the areas where you need to improveConcise and intuitive explanations of core Azure services, functions, and featuresComplimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms With authoritative, concise coverage of all relevant cloud concepts, Azure architecture and services, and management and governance features tested by the AZ-900 certification exam, this edition of MC Microsoft Certified Azure Fundamentals Study Guide is the fastest, most efficient way to get up to speed on foundational Azure cloud competencies. ABOUT THE AUTHOR JIM BOYCE is a Principal Customer Success Account Manager at Microsoft. He’s authored more than 60 books covering a wide range of technology topics, including Windows, Microsoft Office, AutoCAD, Unix, networking, programming, and hardware.
Linux-Treiber entwickeln (5. Auflage)
Systematische Einführung in die Kernel- und TreiberprogrammierungPraktisches Nachschlagewerk mit Codebeispielen und TemplatesModerne Kernel- und TreiberkonzepteDieses Buch bietet Entwicklerinnen und Entwicklern, Kernel-Hackern und Linux-Interessierten mit Kenntnissen in C eine fundierte und praxisorientierte Einführung in die Linux-Kernel-Programmierung und die Entwicklung professioneller Gerätetreiber. Es deckt die Grundlagen ab, die für das Schreiben robuster und sicherer Treiber unverzichtbar sind – von der Absicherung kritischer Abschnitte über die effiziente Speicherverwaltung bis hin zu Techniken für spezielle Hardwareanbindungen. Durch eine schrittweise Heranführung, praktische Templates sowie zahlreiche Codebeispiele erhalten Sie das Handwerkszeug, um eigene, performante, professionelle Treiber und eigenen Kernel-Code zu entwickeln.Die 5. Auflage wurde durchgehend auf den Stand des Kernels 6.13 aktualisiert. Einige Abschnitte, wie zu den Device-Trees, wurden erweitert und andere, wie die Einführung in die Industrial-IOSchnittstelle für industrielle Anwendungen, sind hinzugekommen.Behandelt werden unter anderem:Grundlagen der Linux-Kernel-ArchitekturSchutz kritischer Abschnitte zur Vermeidung von DatenkorruptionKernel-Threads, Tasklets, Workqueues und hochauflösende TimerEffiziente Speicherverwaltung inklusive Objekt-CachingSystemintegration über das Proc-, Sys- und Device-FilesystemCrypto-APIs für sicherheitsrelevante AnwendungenKernel Build System und Build-ProzesseProfessionelle Hardwareanbindung, speziell für Raspberry PiGreen Computing und Energiemanagement für ressourcenschonende SystemeEchtzeitfähigkeit und RealzeitaspekteSpezialisierte Treiber für GPIO, I2C, PCI, USB, Blockgeräte und mehrJürgen Quade studierte Elektrotechnik an der TU München. Danach arbeitete er dort als Assistent am Lehrstuhl für Prozessrechner (heute Lehrstuhl für Realzeit-Computersysteme), promovierte und wechselte später in die Industrie, wo er im Bereich Prozessautomatisierung bei der Softing AG tätig war. Heute istJürgen Quade Professor an der Hochschule Niederrhein, wo er u. a. das Labor für Echtzeitsysteme betreut. Seine Schwerpunkte sind Echtzeitsysteme, Embedded Linux, Rechner- und Netzwerksicherheit sowie Open Source.
Attack Vectors
From early worms to AI powered deepfakes, Attack Vectors chronicles the relentless battle between hackers and defenders. This deep dive into cybersecurity’s evolution unpacks the rise of malware from the Morris Worm to Stuxnet and the cyber syndicates that turned hacking into a billion-dollar underground industry. It explores devastating exploits like CodeRed and HeartBleed, revealing how vulnerabilities become weapons. Meet the visionaries who built the internet’s defenses and the adversaries who found ways to break them. Governments, corporations, and rogue actors all play a role in this ongoing digital war, where data is power, and deception is an art. As cyber-attacks grow more sophisticated, understanding the past is crucial to securing the future. Attack Vectors is essential reading for anyone navigating today’s high-stakes cyber landscape to learn lessons from the past and how solutions today address the most attack vectors predicted in the future. You’ll Learn: Understand the history of cyber-security from the early 1950’s through today.Explore the history of terminology that defines the threat landscape.Examine the history of malware, exploits, breaches, syndicates, and people throughout the last 25 years.Learn how modern cyber-security solutions have been developed to address the evolution of attack vectors.Explore best practices for what to do after a breach and how to manage some of the biggest risks including human beings themselves. Who This Book Is For? New security management professionals, auditors, and information technology staff looking to understand the history of cyber-security. Chapter 1: The History of Attack Vectors.- Chapter 2: Business Justification.- Chapter 3: Definitions.- Chapter 4: Malware.- Chapter 5: Exploits.- Chapter 6: Breaches.- Chapter 7: Regulations.- Chapter 8: People.- Chapter 9: Syndicates.- Chapter 10: Social Engineering.- Chapter 11: Solutions.- Chapter 12: The Human Threat.- Chapter 13: Lateral Movement.- Chapter 14: Return on Investment.- Chapter 15: It’s Not If, But When.- Chapter 16: Supply Chain Attacks.- Chapter 17: Been Hacked?.- Chapter 18: History Lesson.- Chapter 19: Conclusion.
Künstliche Intelligenz in der Marketingabteilung
Das Buch untersucht den aktuellen Einsatz künstlicher Intelligenz in Marketingabteilungen. Basierend auf einem entwickelten Prozessmodell und einer quantitativen Befragung von Fachexpert*innen werden Nutzungshäufigkeit, Anwendungsfelder sowie Chancen und Herausforderungen analysiert. Abschließend werden konkrete Handlungsempfehlungen vorgestellt, um die Nutzung von KI im Marketing gezielt zu fördern. Einleitung.- Theoretische Grundlagen.- Zwischenfazit.- Empirische Untersuchung.- Auswertung der Forschungsergebnisse.- Diskussion.- Fazit.
Cybersecurity Audit Essentials
In a world where cyber threats are more pervasive and sophisticated than ever, this book serves as a trusted companion for professionals charged with protecting critical digital assets. It bridges the gap between theoretical understanding and real-world application, equipping readers with the tools, techniques, and insights to conduct effective cybersecurity audits confidently. The guide takes readers through every stage of the audit process—from planning and scoping to execution, reporting, and follow-up—offering actionable advice at each step. It unpacks the core principles of cybersecurity auditing, such as risk assessment, compliance frameworks, and leveraging advanced tools and technologies. Readers will gain the skills to identify vulnerabilities, evaluate the effectiveness of security measures, and ensure compliance with regulatory requirements. What You Will Learn: Detailed explanations of various audit types, such as: internal, external, compliance, risk-based, and specialized, tailored to meet diverse organizational needs.Step-by-step instructions, checklists, and real-world examples to help readers avoid common pitfalls and adopt proven best practices.Insights into using cutting-edge technologies, including automated audit platforms, SIEM systems, and vulnerability scanners, to enhance audit effectiveness.Clear guidance on navigating key frameworks like GDPR, NIST, ISO 27001, and more, ensuring adherence to industry standards.Tips for prioritizing risk mitigation, crafting impactful audit reports, and fostering continuous improvement in cybersecurity practices. Who This Book Is for: IT auditors, cybersecurity auditors, cybersecurity professionals, and IT specialists who need a practical, hands-on guide to navigate the challenges of cybersecurity auditing in today’s complex digital landscape. Chapter 1: Introduction to Cybersecurity Audits.- Chapter 2: Planning the Cybersecurity Audit.- Chapter 3: Assessing Security Control.- Chapter 4: Compliance and Regulations.- Chapter 5 Introduction to Cyber Risk Management.- Chapter 6 Tools for Network and Cyber Security Audits.- Chapter 7 How to Write an Effective Cybersecurity Audit Report.- Chapter 8 Real-Life Scenarios and Case Studies.
Learn Model Context Protocol with Python
Learn Model Context Protocol with Python introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale. Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. Next, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components. The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps. The Python primer at the end rounds out the practical toolkit, making this book essential for any team building AI-native applications today.
Running Windows Server 2025 on Microsoft Azure
Architect, migrate, and manage Windows Server on Azure Running Windows Server 2025 on Microsoft Azure is an up-to-date guide to migrating mission-critical Windows Server workloads to Azure. 5-time Microsoft MVP, William Panek, explains how to ensure hybrid cloud agility and advanced security while extending on-premises Windows Server deployments to the Azure cloud using hybrid services that perform a variety of vital functions. Panek demonstrates how to use a downloadable Microsoft app to set up the most common Azure hybrid services while conducting the necessary manual configuration required to maintain security and operability. You’ll learn how to use Windows Admin Center, integrated directly into Azure, to obtain a server-centric view of available cloud services. The book discusses the foundational principles of Azure IaaS, PaaS, and SaaS, incorporating explanations of compute, storage, and networking. It offers step-by-step tutorials for the tools used to implement hybrid solutions, like Windows Admin Center and Powershell. You’ll also learn how to implement identity management in hybrid environments with Azure AD DS on Azure IaaS and managed AD DS. Perfect for IT professionals managing on-premises Windows Server environments who are interested in making use of Azure to manage server workloads, Running Windows Server 2025 on Microsoft Azure is a start-to-finish roadmap to the core service models available on Azure. Deploy virtual machines running Windows ServerConfigure networking, storage, and security parametersUnderstand and use Windows Admin Center and PowershellImplement identity management with AD DSPlan hybrid and cloud-only migration, backup, and recoveryConduct manual configuration to maintain securityExtend on-premises functionality and capabilities with Azure Architect, migrate, and manage Windows Server on Azure In Running Windows Server 2025 on Microsoft Azure, 5-time Microsoft MVP, William Panek, walks you through the migration of business-critical Windows Server workloads to Azure while ensuring hybrid cloud agility and advanced security. You'll learn how to extend on-premises deployments of Windows Server to the Azure cloud using hybrid services that offer an array of vital functions. Will Panek explains how to use a downloadable app provided by Microsoft to set up the most common Azure hybrid services and shows you how to conduct the manual configuration required to customize and personalize your setup for your use case. He also demonstrates how to use Windows Admin Center, integrated directly into Azure, to obtain a server-centric view of available Azure services. Also inside the book: Discussions of foundational principles of Azure IaaS, PaaS, and SaaS, including compute, storage, and networkingStep-by-step tutorials for tools used to implement hybrid solutions, including Windows Admin Center and PowerShellImplementing identity management in hybrid scenarios, including Azure AD DS on Azure IaaS and managed AD DSPlanning and implementing hybrid and cloud migration, backup, and recovery scenarios Deploying Azure VMs running Windows Server Perfect for IT professionals managing on-premises Windows Server environments who are interested in using Azure to manage server workloads, Running Windows Server 2025 on Microsoft Azure helps you understand all the core service models available on Azure. WILLIAM PANEK is a 5-time Microsoft MVP with deep expertise in Windows and Windows Server. He has taught at Boston University, Clark University, and the University of Maryland. He has also consulted with and trained the United States Secret Service, United States Air Force, and the United States Army.
Thinking With Machines
Praise for THINKING WITH MACHINES “Clear, urgent, and deeply human. Dhar’s personal journey through AI makes Thinking with Machines feel less like science fiction and more like a mirror—helping us reflect on trust, resilience, and what it means to stay grounded in a world racing ahead.” —DAVID KO, CEO, Calm “At last, a book by one of the world’s leading AI researchers and practitioners that is both cutting edge and easy-to-read. Part history of the field, part handbook for the non-expert, part AI governance manifesto, and part author’s life journey, Thinking with Machines is indispensable reading for professionals, policymakers, and concerned citizens grappling with the paradigm shift of our times.” —PAUL SHEARD, Economist and Author of The Power of Money “In a world of wannabe AI experts, Vasant Dhar shines as someone who has played the long game, through successive AI hype cycles and winters. In this remarkable book, he provides a calm and reasoned way for us to decipher the world of AI and a playbook for dealing with the most important innovation of our time.” —NANDAN NILEKANI, Co-Founder and Chairman, Infosys, and Founding Chairman, UIDAI (Aadhaar) “In a world filled with AI experts who alternate between relentless hype and imminent doom, Vasant stands out as someone who sees shades of gray in this debate, and has the expertise and good sense to gauge AI’s strengths and limits. I strongly recommend his new book, Thinking with Machines, to everyone who is involved or interested in how AI will change the way we live and work, as I think it will.” —ASWATH DAMODARAN, New York University Professor and Valuation Guru “Vasant Dhar has a unique perspective: building trading algorithms that compound tiny edges into fortunes, then watching AI evolve from narrow applications to a general-purpose technology. In Thinking with Machines, he reveals when to trust algorithms, when to stay skeptical, and how to govern AI before it governs us. A must-read for our AI-powered future.” —ERIK BRYNJOLFSSON, Professor at Stanford University and Co-Founder of Workhelix, Inc. We are entering a brave new world, thanks to AI. We must shape this future to the advantage of everyone, and not just a select few. Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the 90s and was the first to teach AI at NYU Stern. Through his story and the lessons that it reveals, we learn about AI’s progress and reversals, its promises and dangers, and what we need to address before the machine gets away from us. Thinking with Machines is essential reading for AI enthusiasts and learners at all levels seeking knowledge on the greatest technological advancement of our time. VASANT DHAR is Robert A. Miller Professor at the Stern School of Business and Professor of Data Science at New York University. He is also the host of the Brave New World podcast and a frequent contributor to scientific journals and mainstream media about artificial intelligence.
Prompt Engineering
Prompt Engineering - Die Kunst, mit KI zu sprechen von Fabian Lang zeigt, wie man Sprachmodelle wie ChatGPT gezielt steuert, ihre Grenzen versteht und ihr volles Potenzial entfesselt.Von den technischen Grundlagen moderner KI über die Psychologie guter Prompts bis hin zu konkreten Strategien, Hacks und Praxisbeispielen führt dieses E-Book Schritt für Schritt durch die Welt des Prompt Engineerings. Es erklärt, wie man durch präzise Anweisungen, klare Struktur und kreatives Denken bessere, relevantere und verlässlichere Ergebnisse erzielt – egal ob im Berufsalltag, beim Schreiben, Programmieren oder Forschen.Abgerundet mit 25 sofort umsetzbaren Tipps bietet dieses E-Book alles, was man braucht, um vom passiven KI-Nutzer zum aktiven Gestalter intelligenter Dialoge zu werden.Aus dem Inhalt:Einleitung: Warum Prompt Engineering wichtig ist Wie funktioniert ein Sprachmodell? Grundlagen: Was ist Prompt Engineering? Techniken des Prompt Engineerings Konfiguration, Optimierung & Prompting Hacks Fazit: 25 Tipps zum Abschluss Zum Autor:Prof. Dr. Fabian Lang ist Professor für Betriebswirtschaftslehre an der Hochschule Hannover und forscht zu digitaler Transformation, Analytics und Künstlicher Intelligenz sowie unternehmerischer Entscheidungsunterstützung. Mit langjähriger Erfahrung in Wissenschaft und Praxis vermittelt er komplexe Technologien verständlich und praxisorientiert.
Der Einfluss von Computer Vision Systemen auf Unternehmen
Diese Arbeit untersucht den Einfluss von Computer Vision Systemen (CVS) auf den Wertbeitrag von Unternehmen. Fortschritte in den Bereichen Hardware, Netzwerkarchitektur und analytischen Methoden ermöglichen es, den menschlichen Prozess des Sehens, Erkennens und Entscheidens vollständig zu automatisieren. Daraus entsteht für Unternehmen ein immenses Potential durch den zielgerichteten Einsatz von CVS, den generierten Wert positiv zu beeinflussen oder gänzlich neue zu entwickeln. Mithilfe eines Mixed-Methods-Ansatzes wurden relevante Einflussfaktoren sowie deren Wechselwirkungen innerhalb des Forschungsbereichs analysiert. Der Schwerpunkt liegt hierbei auf dem Wertbeitrag und den damit verbundenen Geschäftsmodellen. Die Ergebnisse der qualitativen und quantitativen Studien mündeten in ein theoretisches Modell, das zentrale Zusammenhänge offenlegt. Auf dieser Basis wurden Gestaltungsempfehlungen für die erfolgreiche Einführung von CVS entwickelt. Damit leistet die Arbeit einen wichtigen Beitrag zur nachhaltigen und wertschöpfenden Integration von CVS in Unternehmen sowie zu deren wissenschaftlicher Betrachtung. EINLEITUNG.- NOTWENDIGKEIT DER BETRACHTUNG VON COMPUTER VISION SYSTEMEN IN UNTERNEHMEN.- FORSCHUNGSRAHMEN UND -DESIGN.- GANG DER ARBEIT.- DISKUSSION DER FORSCHUNGSERGEBNISSE.- FAZIT UND AUSBLICK.
Django REST APIs Demystified
This book is designed to help you master API development using the Django REST Framework (DRF). Written for seasoned developers, this book offers practical, hands-on guidance to becoming an expert in using DRF, providing in-depth coverage of the framework's features and best practices and their application in API development. The book will introduce you to and enable you to grasp advanced DRF topics such as authentication, permissions, throttling, caching, API versioning, and schema generation. Each chapter of the book focuses on a specific topic and introduces a standalone Django application that will ensure a structured and isolated learning experience for you. Real-world examples and step-by-step instructions provide a practical approach to building DRF APIs. The book also aids you in exploring customizing DRF for complex use cases, integrating third-party tools, and writing unit tests for secure, robust APIs. Special attention is given to working with multi-application Django projects, offering conventions to avoid conflicts and ensure clear API documentation. By the end of this book, you will have the skills to build secure, scalable, and maintainable APIs using DRF. Whether you're working on a startup, enterprise project, or personal venture, this book equips you with the knowledge and tools to create efficient, future-proof APIs. What You Will Learn How to manage and structure complex multi-application projects without conflicts, leveraging best practicesOptimizing API Performance and Implementing advanced techniques like throttling, caching, and efficient query handling to enhance API performance.Use versioning, customization, and extensible patterns to create APIs that adapt to evolving business requirements Who Is This Book For: Web developers, front-end engineers, full stack engineers, API documentation specialists, technical leads Chapter 1 - REST API Concepts.- Chapter 2 - Project Setup and Configuration.- Chapter 3 - Getting Started with Django REST Framework.- Chapter 4 - Postman.- Chapter 5 - Serializers and Views.- Chapter 6 - ViewsSets and Routers.
CAFM-Handbuch
Der effiziente Einsatz der Digitalisierung und Informationstechnik (IT) im Immobilien- und Facility Management (FM) stellt eine große Herausforderung und ein Erfolgsfaktor für Unternehmen und öffentliche Einrichtungen dar. Das Handbuch erläutert alle Aspekte, die bei der erfolgreichen Einführung von Computer Aided Facility Management (CAFM) sowie weiterer Technologien zu beachten sind. Einsatzbereiche, Nutzenpotenziale und Prozesse des (CA)FM sowie Wirtschaftlichkeitsberechnungen werden präsentiert. In der vollständig überarbeiteten Neuauflage werden aktuelle IT- und Digitalisierungstechnologien im FM erörtert, darunter Building Information Modeling (BIM), Internet of Things, Big Data, Künstliche Intelligenz, Digital Workplace, Flächenoptimierung, CAFM und ERP, Blockchain, Cloud Computing, IT-Integration, ESG, Energiemanagement, Network FM, Cybersicherheit, Simulation sowie Datenerfassung und –pflege im FM. - Motivation.- Zum Verhältnis von Facility Management und CAFM.- Der CAFM-Markt.- Anwendungsfelder für den IT-Einsatz im FM.- Geschäftsprozesse im FM.- Wirtschaftlichkeit des Einsatzes von CAFM.- IT-Grundlagen für FM.- CAFM-Software und CAFM-Systeme.- Datenerfassung und Datenmanagement im FM.- CAFM-Software und ihre IT-Umgebung.- Building Information Modeling.- Cloud Computing im FM.- Internet of Things im FM.- Big Data und Analytics im FM.- Künstliche Intelligenz und Maschinelles Lernen im FM.- Digital Workplace und FM.- Energiemanagement und FM.- Netzwork FM.- ESG-Reporting.- ERP und CAFM.- Simulationsansätze im FM.- Cyber Security im FM.- Das CAFM-Richtlinienwerk der GEFMA.- CAFM-Einführungsstrategien.- Auswahl und Einführung einer CAFM-Software.- Consulting im CAFM.- Reifegradmodelle der Digitalisierung.- Trends und Perspektiven im CAFM.- Anhänge.- Sachverzeichnis.
Proactive Cyber Threat Intelligence
This book explores innovative methods to enhance cybersecurity by leveraging official and unofficial information sources on the web. While traditional approaches like Cyber Threat Intelligence (CTI) and Security Information and Event Management (SIEM) rely on past breaches, this work emphasizes a proactive stance, utilizing Open Source Intelligence (OSINT) to predict and prepare for emerging threats. Drawing from crisis informatics and data mining, the research introduces automated approaches for collecting, enriching, and analyzing cybersecurity information across diverse web sources, providing security teams with tools to identify emerging threats while reducing manual workload. For security professionals and researchers, this work demonstrates how automation can enhance human expertise in cybersecurity, paving the way for more robust and proactive threat detection. Introduction.- Research Background and Field.- Research Methodology and Context.- Findings.- Discussion.- The Notion of Relevance in Cybersecurity: A Categorization of Security Tools and Deduction of Relevance Notions.- A Domain-Adapted Language Model for the Cybersecurity Domain.- Bandit on the Hunt: Dynamic Crawling for Cyber Threat Intelligence.- Navigating the Shadows: Evaluating the Dark Web for Cyber Threat.- OVANA: An Approach to Analyze and Improve the Information Quality of Vulnerability Databases.- Common Vulnerability Scoring System Prediction based on Open Source Intelligence Information Sources.- Reducing Information Overload: Because Even Security Experts Need to Blink.
Level Up with Azure AI Foundry
Harness the power of AI through Microsoft’s Azure platform, AI Foundry. Azure AI Foundry includes a versatile and powerful suite of tools designed to cater to the needs of developers, data scientists, and organizations aiming to leverage AI for transformative outcomes. This book demystifies the Azure AI Foundry ecosystem by offering a comprehensive overview of its foundational concepts, tools, and services. The book begins with an overview of generative AI, detailing its concepts, architecture, and differences from traditional AI. You will then learn Azure AI Foundry Prompt Flow, covering its features, setup, and navigation. In addition, you will explore how to create, debug Prompt Flow, and build intelligent multi-modal AI applications. You will also understand responsible AI and governance with AI Foundry. After reading this book, you will understand how to utilize Azure’s AI tools to create impactful solutions that can drive efficiency, enhance decision making, and unlock new opportunities in your field. What You Will Learn: Get up to speed on the fundamentals of generative AIUnderstand the essential components of Azure AI Foundry, including Prompt Flow, multi-modal applicatios, and other key tools for building intellgent applicationsIntegrate AI capabilities into existing systems and workflowsKnow the latest trends and innovations in AI and how Azure AI Foundry can be used to drive cutting-edge solutions across various industriesManage security and governance of your AI application with AI Foundry Who This Book Is For Data professionals, AI enthusiasts, enterprise leaders, and aspiring data scientists keen on exploring Azure AI Foundry Chapter 1: Getting Started with Azure AI Foundry.- Chapter 2: Exploring Azure AI Foundry.- Chapter 3: Building with Prompt Flow.- Chapter 4: Bringing Your Own Data to AI Foundry.- Chapter 5: Exploring Multimodal AI Capabilities.- Chapter 6: Deploying, Monitoring and Ensuring AI Safety.
Supercomputers for Linux SysAdmins
Supercomputers and High Performance Computing (HPC) clusters are not so exotic as people imagine these days. They give companies the power of computation like no one server can give alone. They make new drugs and materials discoveries, universe modeling and AI training, crash simulations and market research possible – all thanks to HPC clusters. Building or renting a HPC cluster is not so difficult either as cloud providers can give you resources to build one cheap and performative enough to use yourself, so If you are or want to become HPC cluster Sysadmin or manager, this book is for you. Supercomputers for Linux SysAdmins delves into the world of modern HPC cluster architecture, hardware, software and resources management using a Linux/UNIX based approach. The number of HPC clusters is growing with an estimated 30 billion by 2030 but there are not enough sysadmins to run and manage them, this book serves to bridge this gap to help more Sysadmins and managers to transition into the exiting world of HPCs. This book helps those with a strong foundational knowledge in Linux, to deal with supercomputers and HPC clusters. We start with the basic principles of supercomputer management, fundamentals of Linux and UNIX, Shell Scripting and systemd and well as other open source tools and frameworks, taking you thorough the security, monitoring and hardware requirements for supercomputers and HPC clusters. You Will Learn: How to plan new supercomputersThe main principles and technologies used in supercomputers and HPC clustersHow to set up the software environments on new supercomputers To set up supercomputer and HPC cluster resources and jobs managementTo manage accounts, resource sharing and many more. Who is it for: The main audience of this book are regular UNIX/Linux sysadmins and managers, who should deal with HPC clusters on-prem or in cloud and those who are interested in supercomputers and HPC clusters and how to utilize them in their projects and teams. 1: Introduction.- 2: What is "super"?.- 3: How to build and start it?.- 4: Supercomputer Hardware.- Chapter 5: InfiniBand.- 6: How a supercomputer does the job.- 7: UNIX and Linux – the basics.- 8: UNIX and Linux – working techniques.- Chapter 9: Network File Systems.- Chapter 10: Remote Management.- 11: Users – Accounting, Management.- 12: Users – quotas, access rights.- 13: Job management systems.- 14: OpenPBS, Torque.- 15: Slurm.- 16: Containers.- 17: Clouds.- 18: Remote User Access.- 19: Cluster Status Monitoring Systems.- 20: Backup.- 21: Compilers and Environments, for Parallel Technologies.- 22: Parallel Computing Support Libraries.- 23. Booting and init.- 24: Node Setup, Software Installation.- 25: Out-of-the-box stacks and deployment systems.- 26: Cluster Management Systems – xCAT and others.- 27: Communicating with users.- 28: One-two-three instructions.- 29: Shell scripts – basics and common mistakes.- 30: Systemd – A Short Course.- 31. Conclusion.- Glossary.
Securing Cyber-Physical Systems
Protect critical infrastructure from emerging threats with this essential guide, providing an in-depth exploration of innovative defense strategies and practical solutions for securing cyber-physical systems. As industries increasingly rely on the convergence of digital and physical infrastructures, the need for robust cybersecurity solutions has grown. This book addresses the key challenges posed by integrating digital technologies into critical physical systems across various sectors, including energy, healthcare, and manufacturing. Focusing on innovative defence strategies and practical solutions, this book provides an in-depth exploration of the vulnerabilities and defence mechanisms essential to securing cyber-physical systems. The book is designed to equip researchers, cybersecurity professionals, and industry leaders with the knowledge to protect critical infrastructure from emerging digital threats. From understanding complex vulnerabilities to implementing secure system designs, this volume offers a comprehensive guide to fortifying and securing the systems that shape our modern, interconnected world. Readers will find the volume: Explores the evolving threat landscape, encompassing potential attacks on critical infrastructure, industrial systems, and interconnected devices;Examines vulnerabilities inherent in cyber-physical systems, such as weak access controls, insecure communication channels, and the susceptibility of physical components to digital manipulation;Uses real-world case studies to introduce strategies for assessing and quantifying the cybersecurity risks associated with cyber-physical systems, considering the potential consequences of system breaches;Provides an overview of cybersecurity measures and defense mechanisms designed to fortify cyber-physical systems against digital threats, including intrusion detection systems, encryption, and security best practices;Discusses existing and emerging regulatory frameworks aimed at enhancing cybersecurity in critical infrastructure and physical systems. Audience Researchers, cybersecurity professionals, information technologists and industry leaders innovating infrastructure to protect against digital threats. K. Ananthajothi, PhD is a Professor in the Department of Computer Science and Engineering at Rajalakshmi Engineering College, Chennai, India. He has published one book, two patents, and several research papers in international journals and conferences. His research focuses on machine learning and deep learning. S. N. Sangeethaa, PhD is a Professor in the Department of Computer Science and Engineering at the Bannari Amman Institute of Technology, Sathyamangalam, Tamil Nadu, India. She has published seven books, more than 25 research articles in reputable journals, and more than 50 papers in national and international conferences. Her research interests include artificial intelligence, machine learning, and image processing. D. Divya, PhD is an Assistant Professor in the Department of Computer Science and Engineering at Misrimal Navajee Munoth Jain Engineering College, Chennai, India. She has published several papers in international journals. Her research focuses on data mining and machine learning. S. Balamurugan, PhD is the Director of Albert Einstein Engineering and Research Labs and the Vice-Chairman of the Renewable Energy Society of India. He has published more than 60 books, 300 articles in national and international journals and conferences, and 200 patents. His research interests include artificial intelligence, augmented reality, Internet of Things, big data analytics, cloud computing, and wearable computing. Sheng-Lung Peng, PhD is a Professor and the Director of the Department of Creative Technologies and Product Design at the National Taipei University of Business, Taiwan. He has published more than 100 research papers in addition to his role as a visiting professor and board member for several international universities and academic groups. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining, and networks.
Digital Immune System
Equip yourself with the knowledge to build a resilient digital infrastructure by understanding how the digital immune system leverages advanced technologies to proactively defend against cyber threats. The concept of the digital immune system represents a significant advancement in cybersecurity, reflecting the industry’s shift toward more intelligent and adaptive defense mechanisms. Drawing inspiration from biological immune systems, the digital immune system offers a solution that naturally adapts and responds to evolving threats. This book explores this evolving landscape, focusing on the integration of advanced technologies like artificial intelligence, machine learning, and automation to build resilient digital infrastructures. It delves into how these technologies can create a self-sustaining ecosystem that detects, responds to, and mitigates cyber threats in real-time and highlights the significance of predictive analytics and behavioral analysis in identifying potential threats before they materialize. Through case studies and real-world examples, the book demonstrates how organizations have successfully implemented digital immune systems to protect their assets and maintain operational integrity in an increasingly hostile digital environment. Additionally, the book addresses the challenges and ethical considerations involved in deploying a digital immune system. It discusses the balance between security and privacy, the potential for false positives, and the need for transparency in automated decision-making processes. By providing a comprehensive overview of the current state and prospects of digital immunity, the book serves as a crucial resource for cybersecurity professionals, IT leaders, and anyone interested in understanding the next-generation of digital defense mechanisms. Readers will find the book: Introduces the emergence of the digital immune system; Discusses different applications of the digital immune system across various industries; Comprehensively covers the fundamentals of the digital immune system for different domains, presenting state-of the-art analysis and real-world case studies; Examines the importance of a proactive approach to cybersecurity, emphasizing the need for organizations to move beyond traditional reactive measures. Audience Research scholars in computer science and AI, IT professionals, network administrators, cybersecurity and blockchain technology experts, engineering students and government research agencies looking to the future of cybersecurity. Sujata Priyambada Dash, PhD is an Assistant Professor in the Department of Management at the Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India. She has published one edited book, several book chapters, and numerous articles in international journals and conferences. Vaibhav Mishra, PhD is an Associate Professor at the ICFAI Business School Hyderabad, Telangana, India. He has published research articles in international journals of repute and edited books on blockchain, AI, and machine learning. Bijeta Shaw, PhD is an Assistant Professor in the Operations and IT Department at ICFAI Business School Hyderabad, Telangana, India. She has authored numerous research articles in international journals and coordinated conferences. Sandeep Kumar Panda, PhD is a Professor and the Associate Dean in the School of Science and Technology at the ICFAI Foundation for Higher Education Hyderabad, Telangana, India. He has published six edited books, several book chapters, and more than 80 articles in international journals and conferences. S. Balamurugan, PhD is the Director of Research and Development at Intelligent Research Consultancy Services. He has published about 50 books, more than 300 articles in international journals and conferences, and 55 patents.
Industrial Control System (ICS) and Operational Technology (OT) Security
Operational Technology (OT) refers to hardware and software used to monitor, control, and manage industrial processes, infrastructure, and assets across sectors like manufacturing, energy, transportation, and utilities. It includes systems such as Industrial Control Systems (ICS), SCADA, PLCs, and DCS. ICS Security is the protection of industrial automation and control systems that manage critical operations like power generation, water treatment, and oil and gas production. Its goal is to safeguard confidentiality, integrity, and availability while mitigating risks from cyber threats, disruptions, and unauthorized access. With this book, our goal is to help readers understand how to secure complex industrial environments by providing a clear introduction to ICS and OT security. We will begin by explaining what ICS and OT are, how they differ from traditional IT, and why those differences matter. From there, the discussion will focus on the increasing importance of ICS/OT security—particularly in the context of IT and OT convergence, where systems and data are becoming more interconnected. You will also gain an understanding of the key components that make up Industrial Control Systems and how they work together to monitor and control industrial operations. These components—including SCADA, PLC, HMI, and DCS—are essential for ensuring operational efficiency, safety, and security in industries like manufacturing, energy, and critical infrastructure. What you Will Learn · The major differences between IT and OT security · Key components of Industrial Control Systems · The major challenges in ICS/OT security · Why ICS/OT security is very important in the digitalization era · The most common and widely used ICS/OT standards, tools, and frameworks Who This Book is for: Beginners of OT Security environment. The book assumes you have an understanding of the IT Security environment and will be a great book for those who wish to learn the major differences and key elements of ICS and OT Security. Chapter 1: Introduction of Industrial Control System (ICS) and Operational Technology (OT) Security.- Chapter 2: Key Components of Industrial Control Systems.- Chapter 3: Challenges in ICS/OT Security.- Chapter 4: ICS and OT Security tools and framework.
IAM and PAM Cybersecurity
In today’s digital age, organizations face growing cyber threats targeting user identities and access credentials. Identity and Access Management (IAM) helps secure identities, manage privileges, and enforce security policies—making it essential for zero-trust security, compliance, and efficiency. Privileged Access Management (PAM), a specialized branch of IAM, focuses on protecting and monitoring privileged accounts such as administrators, root users, and service accounts. Because these accounts have elevated access, they are prime targets for cyberattacks. Together, IAM and PAM safeguard access to systems, applications, and data, playing a vital role in cloud security, IoT, and enterprise environments by preventing unauthorized access and mitigating insider threats. Readers will learn: · Why securing identities is critical today · Key differences between IAM and PAM · Major access management risks and challenges · Common IAM and PAM solutions (e.g., Azure AD, Okta, CyberArk, BeyondTrust, SSH Communications Security) Chapter 1: IAM, Securing Identities in the Digitalization Era.- Chapter 2: PAM, Protecting Privileged Accounts and Access Management.- Chapter 3: IAM and PAM risks, impacts, and challenges.- Chapter 4: IAM and PAM tools and frameworks.
Deploying Secure Data Science Applications in the Cloud
This step-by-step guide is for Data Scientists, ML engineers, and DevOps practitioners who need to turn prototypes into secure, scalable production services on AWS and Google Cloud. With step-by-step instructions and practical examples, this book bridges the gap between building Data Science applications and Machine Learning models, and deploying them effectively in real-world scenarios The book begins with an introduction to essential cloud concepts, providing detailed guidance on setting up a virtual machine (VM) on AWS—and later on Google Cloud—to serve applications. This includes configuring security groups and establishing secure SSH (Secure Shell) connections using VSCode (Visual Studio Code). You will learn how to deploy a dummy HTTP Streamlit application as a foundational exercise before advancing to more complex setups. Subsequent chapters dive deeper into key deployment practices, such as configuring load balancers, setting up domain and subdomain names, and securing applications with SSL (Secure Sockets Layer) certificates. The book introduces more advanced deployment strategies using Docker containers and Nginx as a reverse proxy, as well as secure serverless deployments of Jenkins, Flask, and Streamlit. You’ll also learn how to train machine learning models and use Flask to build APIs that serve those models in production. In addition, the book offers hands-on demonstrations for using Jenkins as an ETL platform, Streamlit as a dashboard service, and Flask for API development. For those interested in serverless architectures, it provides detailed guidance on using AWS ECS (Elastic Container Service) Fargate and Google Cloud Run to build scalable and cost-effective solutions. By the end of this book, you will possess the skills to deploy and manage data science applications on the cloud with confidence. Whether you are scaling a personal project or deploying enterprise-level solutions, this book is your go-to resource for secure and seamless cloud deployments. What You Will Learn Deploy end-to-end data science applications with a strong foundation in cloud infrastructure setup, including VM provisioning, SSH access, security groups, SSL configuration, load balancers, and domain management for secure, real-world deploymentsUse industry-known tools such as Docker, Nginx, Flask, Streamlit, and Jenkins to build secure, scalable servicesUnderstand how to structure and expose machine learning models via APIs for production useExplore modern serverless architectures with AWS Fargate and Google Cloud Run to scale efficiently with minimal overheadDevelop a cloud deployment mindset grounded in doing things from scratch—before adopting abstracted solutions Who This Book Is For Beginning to intermediate professionals with a basic understanding of Python, including Data Scientists, ML Engineers, Data Engineers, and Data Analysts who aim to securely deploy their projects in production environments, and individuals working on both personal projects and enterprise-level solutions, leveraging AWS and Google Cloud setups Part I: Building the Foundation.- Chapter 1: Initial Setup on Your AWS Account (aws.amazon.com).- Chapter 2: SSH to the EC2 Instance with VSCode and Necessary Setup.- Chapter 3: Load Balancer on your AWS Console.- Chapter 4: Domain Name and SSL Certificates.- Chapter 5. Deploying More Robust Applications (Jenkins, Flask, and Streamlit).- Chapter 6. Create and Secure your Subdomains.- Chapter 7. How to setup this infrastructure on Google Cloud Platform (GCP).- Chapter 8. Advanced Deployment in GCP: Auto Scaling and Load Balancing Across Global Regions.- Part II: Serverless Deployments.- Chapter 9. Serverless Deployment with Google Cloud Run.- Chapter 10. Serverless Deployment with AWS.- Part III: Jenkins, Streamlit and Flask Demos.- Chapter 11. Demo: Using Jenkins as an ETL/ELT Platform for Data Science.- Chapter 12. Demo: Streamlit.- Chapter 13. Demo: Flask.