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A hands-on, beginner-friendly intro to web application pentesting In A Beginner's Guide to Web Application Penetration Testing, seasoned cybersecurity veteran Ali Abdollahi delivers a startlingly insightful and up-to-date exploration of web app pentesting. In the book, Ali takes a dual approach-emphasizing both theory and practical skills-equipping you to jumpstart a new career in web application security. You'll learn about common vulnerabilities and how to perform a variety of effective attacks on web applications. Consistent with the approach publicized by the Open Web Application Security Project (OWASP), the book explains how to find, exploit and combat the ten most common security vulnerability categories, including broken access controls, cryptographic failures, code injection, security misconfigurations, and more. A Beginner's Guide to Web Application Penetration Testing walks you through the five main stages of a comprehensive penetration test: scoping and reconnaissance, scanning, gaining and maintaining access, analysis, and reporting. You'll also discover how to use several popular security tools and techniques-like as well as: • Demonstrations of the performance of various penetration testing techniques, including subdomain enumeration with Sublist3r and Subfinder, and port scanning with Nmap • Strategies for analyzing and improving the security of web applications against common attacks, including • Explanations of the increasing importance of web application security, and how to use techniques like input validation, disabling external entities to maintain security Perfect for software engineers new to cybersecurity, security analysts, web developers, and other IT professionals, A Beginner's Guide to Web Application Penetration Testing will also earn a prominent place in the libraries of cybersecurity students and anyone else with an interest in web application security.

Skillfully deploy Microsoft SharePoint Premium to automate your organization's document processing and management In Microsoft SharePoint Premium in the Real World: Bringing Practical Cloud AI to Content Management, a team of veteran Microsoft AI consultants delivers an insightful and easy-to-follow exploration of how to apply Syntex' content AI and advanced machine learning capabilities to your firm's document processing automation project. Using a simple, low-code/no-code approach, the authors explain how you can find, organize, and classify the documents in your SharePoint libraries. You'll learn to use Microsoft SharePoint Premium to automate forms processing, document understanding, image processing, content assembly, and metadata search. Readers will also find: • Strategies for using both custom and pre-built, "off-the-rack" models to build your solutions • The information you need to understand the Azure Cognitive Services ecosystem more fully and how you can use it to build custom tools for your organization • Examples of solutions that will allow you to avoid the manual processing of thousands of your own documents and files An essential and hands-on resource for information managers, Microsoft SharePoint Premium in the Real World is a powerful tool for developers and non-developers alike.

A top-to-bottom discussion of website bot attacks and how to defend against them In The Reign of Botnets: Defending Against Abuses, Bots and Fraud on the Internet, fraud and bot detection expert David Senecal delivers a timely and incisive presentation of the contemporary bot threat landscape and the latest defense strategies used by leading companies to protect themselves. The author uses plain language to lift the veil on bots and fraud, making a topic critical to your website's security easy to understand and even easier to implement. You'll learn how attackers think, what motivates them, how their strategies have evolved over time, and how website owners have changed their own behaviors to keep up with their adversaries. You'll also discover how you can best respond to patterns and incidents that pose a threat to your site, your business, and your customers. The book includes: • A description of common bot detection techniques exploring the difference between positive and negative security strategies and other key concepts • A method for assessing and analyzing bot activity, to evaluate the accuracy of the detection and understand the botnet sophistication • A discussion about the challenge of data collection for the purpose of providing security and balancing the ever-present needs for user privacy Ideal for web security practitioners and website administrators, The Reign of Botnets is the perfect resource for anyone interested in learning more about web security. It's a can't-miss book for experienced professionals and total novices alike.

Learn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning. The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find: • Effective strategies to address the challenge of the high computational cost associated with LLMs • Assistance with the complexities of building and deploying affordable generative AI apps, including tuning and inference techniques • Selection criteria for choosing a model, with particular consideration given to compact, nimble, and domain-specific models Perfect for developers and data scientists interested in deploying foundational models, or business leaders planning to scale out their use of GenAI, Large Language Model-Based Solutions will also benefit project leaders and managers, technical support staff, and administrators with an interest or stake in the subject.

A hands-on technical and industry roadmap for aspiring data engineers In Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the fundamentals of data engineering. Whether you're interested in starting a rewarding, new career as a data analyst, data engineer, or data scientist, or seeking to expand your skillset in an existing engineering role, Nwokwu offers the technical and industry knowledge you need to succeed. The book explains: • Database fundamentals, including relational and noSQL databases • Data warehouses and data lakes • Data pipelines, including info about batch and stream processing • Data quality dimensions • Data security principles, including data encryption • Data governance principles and data framework • Big data and distributed systems concepts • Data engineering on the cloud • Essential skills and tools for data engineering interviews and jobs Data Engineering for Beginners offers an easy-to-read roadmap on a seemingly complicated and intimidating subject. It addresses the topics most likely to cause a beginning data engineer to stumble, clearly explaining key concepts in an accessible way. You'll also find: • A comprehensive glossary of data engineering terms • Common and practical career paths in the data engineering industry • An introduction to key cloud technologies and services you may encounter early in your data engineering career Perfect for practicing and aspiring data analysts, data scientists, and data engineers, Data Engineering for Beginners is an effective and reliable starting point for learning an in-demand skill. It's a powerful resource for everyone hoping to expand their data engineering Skillset and upskill in the big data era.

Securely harness the full potential of OpenAI's artificial intelligence tools in Azure Securing Microsoft Azure OpenAI is an accessible guide to leveraging the comprehensive AI capabilities of Microsoft Azure while ensuring the utmost data security. This book introduces you to the collaborative powerhouse of Microsoft Azure and OpenAI, providing easy access to cutting-edge language models like GPT-4o, GPT-3.5-Turbo, and DALL-E. Designed for seamless integration, the Azure OpenAI Service revolutionizes applications from dynamic content generation to sophisticated natural language translation, all hosted securely within Microsoft Azure's environment. Securing Microsoft Azure OpenAI demonstrates responsible AI deployment, with a focus on identifying potential harm and implementing effective mitigation strategies. The book provides guidance on navigating risks and establishing best practices for securely and responsibly building applications using Azure OpenAI. By the end of this book, you'll be equipped with the best practices for securely and responsibly harnessing the power of Azure OpenAI, making intelligent decisions that respect user privacy and maintain data integrity.

Unlock the future of programming on the Ethereum blockchain with Solidity smart contracts Explore and learn smart contract development on the Ethereum blockchain with Beginning Solidity: Learn to Program Smart Contracts with Solidity by Alexandros Dolgov. This book is a guide to taking your first steps and becoming comfortable with Solidity programming, providing accessible learning material for existing and aspiring programmers who wish to build decentralised applications on the Ethereum platform. This book provides insights into the creation, compilation and deployment of smart contracts and decentralised applications. Beginning Solidity demystifies the complexities of the Ethereum blockchain and the Solidity language. From understanding the origins and use of money to basic blockchain concepts such as accounts, transactions, block explorers, wallets and consensus mechanisms, to applications like understanding and creating fungible (ERC-20) and Non-fungible tokens (NFTs) or developing a decentralized auction platform, Alexandros Dolgov covers it all. Through practical examples and real-world scenarios, this book equips you with the knowledge to design, develop, and deploy smart contracts and decentralized apps, positioning you at the forefront of the blockchain revolution. You'll also: • Learn Solidity programming through the Foundry framework making Solidity programming incredibly accessible for those with or without prior coding experience • Become comfortable with the development of Ethereum smart contracts and the deployment of decentralized applications across various sectors • Stay up to date in the rapidly evolving field of blockchain technology with cutting-edge practices and adaptable learning strategies For both practicing and aspiring programmers and developers eager to explore the possibilities of the Ethereum blockchain and Solidity programming, Beginning Solidity is an essential read. Embark on an exciting journey to become proficient in creating blockchain-based applications that can transform the digital world. Grab your copy today and take the first step towards mastering the future of decentralized technology.

Get more out of your data with step-by-step tutorials for the Excel features you need to know Excel is still the most popular tool for organizing and analyzing data, and today's professionals are expected to have a high degree of fluency with it. Complex Excel tools like Pivot Tables, PowerQuery, and PowerPivot can help you manage and report on data the way you need to. Getting Great Results with Excel Pivot Tables, PowerQuery and PowerPivot offers a fresh look at how these tools can help you. Author and Microsoft Certified Trainer Thomas Fragale breaks down the topics into easy-to-use steps and screenshots, so you'll be able to put your advanced Excel skills into practice right away. Using Pivot Tables, PowerQuery, and PowerPivot, you can import, sort, transform, summarize, and present your data, all without having to be a programmer. This book takes the technical jargon out of using these features, so you can do your job more efficiently, bring value to your teams, and advance your career. The plain-English instructions inside will help anyone learn to get quick, meaningful results from your data, without having a degree in computing. • Get easy-to-understand walkthroughs for analyzing data and creating dashboards in Microsoft Excel • Learn how to organize data in Excel and use advanced features to find patterns and insights • Summarize any kind of data faster and easier, leaving you more time for other tasks • Turn raw numbers into new knowledge, reports, and charts that tell coworkers and customers what they need to know This book is great for anybody who has tons of raw data and needs to make sense of it. Managers, salespeople, finance professionals, marketers-along with anyone else who works with large amounts of data-will love this quick and easy guide to Pivot Tables, PowerQuery, and PowerPivot.

Discover the utility of your organization's data with Microsoft Power BI In Beginning Power BI for Business Users: Learning to Turn Data into Insights, accomplished data professional and business intelligence expert Paul Fuller delivers an intuitive and accessible handbook for professionals seeking to use Microsoft's Power BI to access, analyze, understand, report, and act on the data available to their organizations. In the book, you'll discover Power BI's robust feature set, learn to ingest and model data, visualize and report on that data, and even use the DAX scripting language to unlock still more utility from Microsoft's popular program. Beginning with general principles geared to readers with no or little experience with reporting or data analytics tools, the author walks you through how to manipulate common, publicly available data sources-including Excel files and relational databases. You'll also learn to: • Use the included and tested sample code to work through the helpful examples included by the author • Conduct data orchestration and visualization to better understand and gain insights from your data An essential resource for business analysts and Excel power users reaching the limits of that program's capabilities, Beginning Power BI for Business Users will also benefit data analysts who seek to prepare reports for their organizations using Microsoft's flexible and intuitive software.

A crystal-clear and practical blueprint to software disassembly x86 Software Reverse-Engineering, Cracking, and Counter-Measures is centered around the world of disassembling software. It will start with the basics of the x86 assembly language, and progress to how that knowledge empowers you to reverse-engineer and circumvent software protections. No knowledge of assembly, reverse engineering, or software cracking is required. The book begins with a bootcamp on x86, learning how to read, write, and build in the assembly that powers a massive amount of the world's computers. Then the book will shift to reverse engineering applications using a handful of industry favorites such as IDA, Ghidra, Olly, and more. Next, we move to cracking with techniques such as patching and key generation, all harnessing the power of assembly and reverse engineering. Lastly, we'll examine cracking from a defensive perspective. Providing learners with techniques to be a better defender of their own software, or knowledge to crack these techniques more effectively. • Assembly: computer Architecture, x86, system calls, building and linking, ASCII, condition codes, GDB, control flow, stack, calling conventions • Reverse Engineering: reconnaissance, strings, RE strategy, stripping, linking, optimizations, compilers, industry tools • Cracking: patching, key checkers, key generators, resource hacking, dependency walking • Defense: anti-debugging, anti-tamper, packing, cryptors/decryptors, whitelist, blacklist, RASP, code signing, obfuscation A practical and hands-on resource for security professionals to hobbyists, this book is for anyone who wants to learn to take apart, understand, and modify black-box software. x86 Software Reverse-Engineering, Cracking, and Counter-Measures is a vital resource for security researchers, reverse engineers and defenders who analyze, research, crack or defend software applications.

A practical and up-to-date roadmap to securing cloud containers on AWS, GCP, and Azure Securing Cloud Containers: Building and Running Secure Cloud-Native Applications is a hands-on guide that shows you how to secure containerized applications and cloud infrastructure, including Kubernetes. The authors address the most common obstacles and pain points that security professionals, DevOps engineers, and IT architects encounter in the development of cloud applications, including industry standard compliance and adherence to security best practices. The book provides step-by-step instructions on the strategies and tools you can use to develop secure containers, as well as real-world examples of secure cloud-native applications. After an introduction to containers and Kubernetes, you'll explore the architecture of containerized applications, best practices for container security, security automation tools, the use of artificial intelligence in cloud security, and more. Inside the book: • An in-depth discussion of implementing a Zero Trust model in cloud environments • Additional resources, including a glossary of important cloud and container security terms, recommendations for further reading, and lists of useful platform-specific tools (for Azure, Amazon Web Services, and Google Cloud Platform) • An introduction to SecDevOps in cloud-based containers, including tools and frameworks designed for Azure, GCP, and AWS platforms An invaluable and practical resource for IT system administrators, cloud engineers, cybersecurity and SecDevOps professionals, and related IT and security practitioners, Securing Cloud Containers is an up-to-date and accurate roadmap to cloud container security that explains the "why" and "how" of securing containers on the AWS, GCP, and Azure platforms.

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 networking • Step-by-step tutorials for tools used to implement hybrid solutions, including Windows Admin Center and PowerShell • Implementing identity management in hybrid scenarios, including Azure AD DS on Azure IaaS and managed AD DS • Planning 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.

The long-awaited x64 edition of the bestselling introduction to Intel assembly language In the newly revised fourth edition of x64 Assembly Language Step-by-Step: Programming with Linux, author Jeff Duntemann delivers an extensively rewritten introduction to assembly language with a strong focus on 64-bit long-mode Linux assembler. The book offers a lighthearted, robust, and accessible approach to a challenging technical discipline, giving you a step-by-step path to learning assembly code that's engaging and easy to read. x64 Assembly Language Step-by-Step makes quick work of programmable computing basics, the concepts of binary and hexadecimal number systems, the Intel x86/x64 computer architecture, and the process of Linux software development to dive deep into the x64 instruction set, memory addressing, procedures, macros, and interface to the C-language code libraries on which Linux is built. You'll also find: • A set of free and open-source development and debugging tools you can download and put to use immediately • Numerous examples woven throughout the book to illustrate the practical implementation of the ideas discussed within • Practical tips on software design, coding, testing, and debugging A one-stop resource for aspiring and practicing Intel assembly programmers, the latest edition of this celebrated text provides readers with an authoritative tutorial approach to x64 technology that's ideal for self-paced instruction.

A concise handbook for the most common tools used in modern Java development Good Java developers learn Java syntax, how to create loops and switches, and can work out a lambda filter stream. But great Java developers need to understand the vast ecosystem of tools and frameworks for collaboration, testing, building, and more. In Real-World Java®: Helping You Navigate the Java Ecosystem, a team of veteran Java developers delivers a concise and authoritative discussion of the most common frameworks, tools, and techniques used in enterprise Java development shops. The authors provide just enough background and examples to allow you to dive right into the expert guidance on annotations, logging frameworks, observability, performance tuning, testing tools, and collaboration, that real-life commercial Java development typically relies on. You'll expand your Java development toolkit with frameworks and utilities like Spring, Git, Prometheus, and Project Lombok. You'll also discover links to tested, downloadable code examples that demonstrate the skills discussed in the book. Real-World Java® is the perfect resource for everyone already somewhat comfortable with the language but who wants to familiarize themselves with the tools and frameworks used in contemporary Java software development.

The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: • Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS • Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools • Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.

Discover the power of open source observability for your enterprise environment In Mastering Observability and OpenTelemetry: Enhancing Application and Infrastructure Performance and Avoiding Outages, accomplished engineering leader and open source contributor Steve Flanders unlocks the secrets of enterprise application observability with a comprehensive guide to OpenTelemetry (OTel). Explore how OTel transforms observability, providing a robust toolkit for capturing and analyzing telemetry data across your environment. You will learn how OTel delivers unmatched flexibility, extensibility, and vendor neutrality, freeing you from vendor lock-in and enabling data sovereignty and portability. You will also discover: • Comprehensive coverage of observability issues and technology: Dive deep into the world of observability and gain a comprehensive understanding of observability fundamentals with practical insights and real-world use cases. • Practical guidance: From instrumentation techniques to advanced tracing strategies, gain the skills needed to create highly observable systems. Learn how to deploy and configure OTel, even in challenging brownfield environments, with step-by-step instructions and hands-on exercises. • An opportunity for community contributions and communication: Join the OTel community, including end-users, vendors, and cloud providers, and shape the future of observability while connecting with experts and peers. Whether you are a novice or a seasoned professional, Mastering Observability and OpenTelemetry is your roadmap to troubleshooting availability and performance problems by learning to detect anomalies, interpret data, and proactively optimize performance in your enterprise environment. Embark on your journey to observability mastery today!

Learn to leverage Microsoft's new AI tool, Copilot, for enhanced productivity at work In Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps, a team of software and AI experts delivers a comprehensive guide to unlocking the full potential of Microsoft's groundbreaking AI tool, Copilot. Written for people new to AI, as well as experienced users, this book provides a hands-on roadmap for integrating Copilot into your daily workflow. You'll find the knowledge and strategies you need to maximize your team's productivity and drive success. The authors offer you a unique opportunity to gain a deep understanding of AI fundamentals, including machine learning, large language models, and generative AI versus summative AI. You'll also discover: • How Copilot utilizes AI technologies to provide real-time intelligent assistance and revolutionize the way you work with Microsoft 365 apps • Practical Implementation Strategies for project and change management, as well as practical guidance on rolling out Copilot within your organization • Specific use cases, including Outlook, Teams, Excel, PowerPoint, and OneNote, and how Copilot can streamline tasks and boost efficiency across various Microsoft applications Take your Copilot proficiency to the next level with advanced AI concepts, usage monitoring, and custom development techniques. Delve into Microsoft Framework Accelerator, Copilot plugins, semantic kernels, and custom plugin development, empowering you to tailor Copilot to your organization's unique needs and workflows. Get ready to revolutionize your productivity with Microsoft 365 Copilot!

Embrace emerging AI trends and integrate your operations with cutting-edge solutions Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You'll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: • AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation • State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning • Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation • AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms • AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture • Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics • Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.

Expand your C++ toolkit quickly and efficiently with this advanced resource In the newly revised sixth edition of Professional C++, veteran software engineer and developer Marc Gregoire delivers yet another volume that raises the bar for advanced programming manuals. Covering the major new revisions contained in the new C++ standard codenamed C++23, the book offers case studies with working code that's been tested in Windows and Linux. The leading resource for dedicated and knowledgeable professionals seeking to advance their C++ skills, this book provides resources that help readers: • Maximize C++ capabilities with effective design solutions • Master little-known elements and learn what practices to avoid • Adopt new workarounds and testing/debugging best practices • Use real-world program segments in your own applications C++ is a complex and unforgiving language. Professional C++, 6th Edition, allows dedicated practitioners to remain current and abreast of the latest developments and advances.

Make your next Amazon Web Services deployment secure and private Dive into the world of cloud security with Securing the AWS Cloud: A Guide for Learning to Secure AWS Infrastructure by Brandon Carroll, a comprehensive guide crafted for those eager to fortify their Amazon Web Services (AWS) deployments. Whether you are starting from scratch or looking to enhance an existing setup, this book serves as your essential roadmap to understanding and implementing robust security measures in the AWS environment. The author, a seasoned infrastructure security expert, begins with the basics of cybersecurity and gradually introduces more complex AWS-specific security practices. His structured approach helps you use your existing knowledge to effectively secure your AWS cloud. The book navigates through a series of real-world challenges and provides actionable solutions, equipping you with the skills needed to tackle security issues head-on. You'll: • Learn foundational security practices to safeguard your AWS environment right from the start. • Master advanced techniques for identity management, threat detection, and data security within AWS. • Develop resilience and recovery strategies to maintain robust security and ensure business continuity. Securing the AWS Cloud is the ideal resource for IT professionals, system administrators, and anyone aspiring to specialize in cloud security. It's tailor-made to enhance your ability to deploy secure, reliable, and private AWS solutions consistently. If you're ready to take your AWS security skills to the next level, don't wait. Buy your copy today and start building a safer cloud environment!

A from-scratch roadmap to building generative AI solutions on AWS with Amazon Bedrock In Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS, accomplished Software Engineer, developer advocate, and AWS Community Builder, Renaldi Gondosubroto, delivers an in-depth walkthrough of Amazon Bedrock, the keystone generative AI service on the Amazon Web Services cloud. Gondosubroto offers a start-to-finish guide of the service and its capabilities, from prompt engineering with foundational models to building applications using the API, working with multimodal models, and fine-tuning. This book provides hands-on instruction on Amazon Bedrock from an experienced developer and AI specialist. It's packed with real-world code samples, proven best practices, and techniques that result in reliable, secure, and cost-effective generative AI solutions. You'll also find: • Demonstrations of robust governance guardrails and strategies for reducing development time • Repeatable, industry-grade frameworks for continuously iterating and optimizing models in production • Contemporary updates that incorporate the latest announcements made by Amazon at the re:Invent conference in December 2024 and beyond Perfect for cloud architects, artificial intelligence engineers, and software engineers, Using Amazon Bedrock is an insightful, original, and practical roadmap to generative AI on AWS that explains the AI fundamentals you need to understand to get started in AWS generative AI development and the hands-on techniques you'll use every day to transform those concepts into efficient, working solutions.

Build production-grade multi-agent AI systems with LangChain, LangGraph, and MCP Practical Multi-Agent AI Systems: How to Architect, Build, and Scale Next-Generation AI Systems That Work in the Real World walks through a complete, production-grade multi-agent system as a continuous project example. Using LangChain, LangGraph, MCP, A2A, and language models from OpenAI, Anthropic, and Amazon Bedrock, the book covers knowledge retrieval, personalized response generation, escalation orchestration, error handling, controls to secure multi-agent AI systems, integration testing and model evaluations, and deployment considerations with real, runnable code designed for practitioners. Each chapter pairs architectural insights with hands-on implementation, covering patterns including ReAct, Supervisor-Driven Network, Hierarchical Network, Tree-Of-Thought, Chain-Of-Agents, Sequential Orchestration, Semantic Consensus, Hand-Off Orchestration, and Magentic Orchestration. All code examples are available through an online source code repository, allowing readers to clone, run, and experiment with the full solution as they progress. You'll also discover: • AI-driven planning, reasoning, and orchestration strategies purpose-built to fine-tune multi-agent behavior, optimize system performance, and ensure reliable execution in production environments • System prompt engineering, role definition, actions and tools selection, and memory management techniques specific to multi-agent architectures • Context engineering approaches for precise and concise context tuning that directly affect agent output quality and reliability • Architectural decision guidance for choosing the right mix of orchestration patterns to fit specific real-world use cases • Comprehensive observability and real-time monitoring of end-to-end agentic AI interactions covering LLM invocations, tool executions, and action flows, enhanced with contextual knowledge graphs and full traceability for production-grade transparency and control • Robust technologies and enterprise-ready frameworks purpose-built to design, deploy, and scale production-grade multi-agent AI systems with reliability, security, and performance at their core • Fail-safe integration and root cause analysis techniques for diagnosing failures across systems with many moving parts Written for AI engineers, enterprise architects, software developers, and technical leaders tasked with deploying agent systems, Practical Multi-Agent AI Systems delivers the architectural rationale, pattern selection guidance, and runnable code needed to build multi-agent AI solutions that handle real-world complexity at scale.

Accelerate your programming with the most popular AI coding tool on the market: GitHub Copilot In Programming with GitHub Copilot: Write Better Code - Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools-like VS Code's TabNine extension-before, you'll be floored by GitHub Copilot's potential to transform the way you code. You'll learn how to install, configure, and use the software, from employing it's most common and widely used features to deploying business and enterprise functionality. You'll even discover how to fix runtime and compilation bugs and write unit, integration, and end-to-end tests. You'll also find: • Prompt strategies to get GitHub Copilot to help you brainstorm new code solutions • What the future looks like for AI-assisted coding, including discussions of issues like code licensing and ethics • Directions for chatting with Copilot, including common commands and prompts to help you guide the conversation to where you want it to go Perfect for practicing programmers, developers, and software engineers, Programming with GitHub Copilot is also an essential resource for coders and other IT practitioners-in-training who want to expand their knowledge and improve the scope and depth of their programming skillsets.