<rss version="2.0">
    <channel>
        <title>ScholarVox Université : Nouveautés
         : Informatique</title>
        <description />
        <link>http://univ.scholarvox.com</link>

                <item>
            <title><![CDATA[ Intelligence artificielle ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88979004</link>
            <description><![CDATA[
            Auteur : Clegg, Brian<br/> 
            Editeur : EDP Sciences<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88979004"><img src="https://static.cyberlibris.com/books_upload/300pix/9782759837816.jpg" /></a></p>
            <p><blockquote>Un ordinateur peut-il être expert ? La créativité peut-elle s’informatiser ? Siri et Alexa nous comprennent-elles ? D’où viennent les images d’une IA ? Quelle législation pour contrôler l’IA ? L’IA mène-t-elle le monde à sa perte ?<br>Entre apprentissage automatisé et apprentissage profond, chatbots et robots, IA générative et « deep fakes », l’intelligence artificielle fascine et déconcerte, suscitant alternativement engouement et polémiques. Mais comment naviguer dans ce nouveau monde à la fois passionnant et potentiellement terrifiant ? Avec des cartes bien sûr !<br>Ce livre aborde 8 thématiques en lien avec l’intelligence artificielle et pour chacune, propose une carte mentale permettant de se familiariser avec les concepts, suivie d’une série de questions-réponses, avec des illustrations, pour approfondir !</blockquote></p>
            ]]></description>
            <pubDate>2026-04-08T08:00:01.957</pubDate>
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            <title><![CDATA[ The Salesforce Business Analysis Playbook : Become a trusted Salesforce advisor through expert business analysis and applied AI skills ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978875</link>
            <description><![CDATA[
            Auteur : Munagavalasa, Srini<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978875"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806109265.jpg" /></a></p>
            <p><p><b>Learn how to gather, prioritize, and document business requirements, streamline solution design with AI, support end-user adoption, and apply real-world techniques that accelerate Salesforce projects from planning to post go-live

Get your book with a free PDF, AI Assistant, and Next-Gen Reader</b></p><h4>Key Features</h4><ul><li>Master techniques to gather, prioritize, and document Salesforce requirements</li><li>Use AI tools to automate traceability, improve test coverage, and boost user adoption outcomes</li><li>Create scalable solutions with stakeholder alignment strategies and agile collaboration practices</li><li>Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</li></ul><h4>Book Description</h4>Salesforce projects often fail not due to technology limitations but because of unclear requirements, poor stakeholder alignment, and a lack of business context. The Salesforce Business Analyst Playbook, Second Edition, addresses these challenges head-on, offering a complete, real-world guide for Business Analysts looking to elevate their impact on Salesforce implementations.
Written by Srini Munagavalasa, a seasoned Salesforce leader with over 20 years of global experience across Salesforce and SAP CRM, this updated edition introduces powerful new content, including generative AI tools, advanced analysis techniques, automated traceability, and modern Salesforce features such as Flows and in-app guidance. These updates empower analysts to work smarter, whether gathering requirements, optimizing solution design, managing testing, or driving adoption. You’ll walk through the entire Salesforce project life cycle with practical methods, stakeholder collaboration strategies, testing plans, and certification guidance, ensuring you can handle complex projects with confidence.
By the end of this book, you’ll be able to lead the business analysis efforts across every stage of a Salesforce project, solve real-world problems, and adapt to Salesforce’s evolving capabilities.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Identify business needs by engaging stakeholders and SMEs</li><li>Create user stories and acceptance criteria that are aligned to business goals</li><li>Document functional and non-functional requirements in BRDs</li><li>Use Generative AI to enhance analysis, communication, and solution design</li><li>Use AI to accelerate requirement analysis and reduce manual effort</li><li>Apply AI to auto-generate test scenarios and flag coverage gaps</li><li>Leverage Salesforce Flow, Reports, and CRM Analytics for insights</li><li>Practice certification-style questions with AI-aided study tools</li></ul><h4>Who this book is for</h4><p>This book is for Salesforce Business Analysts, Admins, and Functional Consultants aiming to strengthen their analysis skills and keep pace with evolving platform capabilities. If you’re struggling with requirement gathering, stakeholder alignment, or scalable solution design, this book offers proven techniques and AI-powered enhancements to improve project outcomes. A foundational understanding of Salesforce CRM is recommended.</p></p>
            ]]></description>
            <pubDate>2026-04-01T08:00:02.390</pubDate>
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            <title><![CDATA[ Observability in the AI-Native Era : Leveraging AIOps to build, observe, and operate resilient systems ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978702</link>
            <description><![CDATA[
            Auteur : Lipsig, Hilliary<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978702"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806389582.jpg" /></a></p>
            <p><p><b>Discover how AIOps is transforming the observability landscape for cloud-native and traditional systems. Learn how to build, monitor, and operate resilient services using AI-drive dynamic insights for smarter and more scalable operations</b></p><h4>Key Features</h4><ul><li>Practical Integration of AI and Observability in Modern Engineering Workflows</li><li>Real-World Use Cases Grounded in Industry Experience</li><li>Tailored for Modern Engineering Roles and Organizations</li></ul><h4>Book Description</h4>Observability is mandatory for building and operating cloud-native distributed systems. Tools like OpenTelemetry have standardized how observability data is sourced, and AI now transforms how we extract value from the vast amounts of observability data generated by modern systems. This book guides you in implementing scalable observability, improving engineering efficiency with AI, and integrating observability throughout the Software Development Lifecycle (SDLC) via modern self-service internal developer platforms.
You'll start with observability basics and learn how AIOps enhances signal correlation, anomaly detection, and root-cause analysis. Using real-world examples, the book demonstrates how to implement AIOps, build proactive detection pipelines, and automate diagnostics and remediation. You'll explore best practices for expanding observability using OpenTelemetry, Prometheus, Grafana, Dynatrace, Datadog, and New Relic alongside machine learning models, ensuring your systems are accurate, efficient, and secure.
You'll also learn how to benchmark, measure, and secure your AIOps implementation, and gain a practical understanding of software compliance and how it applies to your systems. By the end of this book, you'll be ready to design and deliver AIOps-enabled observability solutions that make cloud-native systems more resilient, efficient, and secure.<h4>What you will learn</h4><ul><li>Build observability pipelines for logs, metrics, traces and events</li><li>Implement standards such as OpenTelemetry and Prometheus</li><li>Correlate signals from multiple sources for better incident triage</li><li>Apply AI/ML for anomaly detection and root cause analysis</li><li>Design scalable architectures for intelligent monitoring</li><li>Automate resiliency through self-healing and remediation agents</li></ul><h4>Who this book is for</h4><p>This book is for Software engineers and engineering leaders working on teams with operational responsibilities, such as platform engineering, site reliability engineering (SRE), DevOps, or application development, who want to integrate AIOps capabilities into their workflows will benefit from this book. If your team is responsible for building and running high-performing, resilient software systems, this book is for you.</p></p>
            ]]></description>
            <pubDate>2026-03-25T08:00:02.597</pubDate>
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            <title><![CDATA[ PRINCE2 Project Management in Action : Project management in real terms Ed. 2 ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978513</link>
            <description><![CDATA[
            Auteur : Tuttle, Susan<br/> 
            Editeur : IT Governance Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978513"><img src="https://static.cyberlibris.com/books_upload/300pix/9781787786141.jpg" /></a></p>
            <p><p>PRINCE2® is one of the world’s most widely used project management methods – but it’s often seen as complex, theoretical or difficult to apply in practice.</p>

<p> </p>

<p>This book changes that.</p>

<p> </p>

<p>Drawing on more than 25 years of real-world experience, Susan Tuttle brings PRINCE2® to life through clear explanations, plain English and relatable stories. No jargon, no unnecessary theory – just practical insight into how PRINCE2® works in action, and how it can be tailored to suit any project or environment.</p>

<p> </p>

<p>Each chapter explains what PRINCE2® says, what it really means and how it plays out in real situations – including when it’s applied badly, and why that matters.</p>

<p> </p>

<p>Whether you’re new to PRINCE2®, studying for certification or looking to apply the method more effectively, this book will help you turn best practice into practical results.</p>
</p>
            ]]></description>
            <pubDate>2026-03-18T08:00:02.143</pubDate>
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            <title><![CDATA[ Linux Shell Scripting for Hackers : Automate and scale your hacking process with bash scripting ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978510</link>
            <description><![CDATA[
            Auteur : Nachi, Valentine G.<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978510"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835465585.jpg" /></a></p>
            <p><p><b>Take your ethical hacking skills to the next level by mastering bash script and building your own hacking tools.</b></p><h4>Key Features</h4><ul><li>Automate reconnaissance, exploitation, and post-exploitation workflows using bash scripting for ethical hacking</li><li>Build custom Linux command-line tools for penetration testing, log analysis, and network scripting</li><li>Apply secure coding best practices to develop modular, maintainable hacking utilities</li></ul><h4>Book Description</h4>Linux shell scripting is a foundational skill for ethical hackers and penetration testers who want to automate repetitive tasks and build powerful command-line tools. This practical guide shows you how to use bash scripting for cybersecurity automation, helping you streamline reconnaissance, exploitation, and post-exploitation workflows on Linux systems.
You’ll progress from advanced bash techniques to real-world penetration testing applications, learning how to automate reconnaissance processes, parse logs, extract indicators, and develop custom exploitation utilities. Using tools such as awk, sed, grep, and regular expressions, you’ll manipulate data efficiently and craft scripts that solve real security challenges.
A dedicated section on network scripting demonstrates how to build scripts that interact with remote systems, perform scanning tasks, and gather actionable information. You’ll also explore system hardening automation and learn best practices for writing secure, modular, and maintainable shell scripts.
By the end of this book, you’ll have the confidence to integrate Linux shell scripting into your ethical hacking toolkit, scale your penetration testing workflow, and build reusable security tools tailored to real-world cybersecurity scenarios.<h4>What you will learn</h4><ul><li>Develop scripts and tools tailored for ethical hacking and penetration testing</li><li>Leverage powerful tools such as awk, sed, and grep for data manipulation and log parsing</li><li>Design scripts for system hardening</li><li>Integrate scripting into your cybersecurity workflows for maximum efficiency</li><li>Discover best practices for writing secure, maintainable, and modular scripts</li><li>Apply scripting knowledge through real-world case studies and hands-on exercises</li></ul><h4>Who this book is for</h4><p>If you’re a cybersecurity enthusiast or ethical hacker who wants to learn more about building hacking tools, this book is for you. A basic understanding of ethical hacking, GNU/Linux, and bash scripting concepts will be helpful to get the most out of this book. The book is also ideal for seasoned pentesters and sysadmins looking to optimize operations.</p></p>
            ]]></description>
            <pubDate>2026-03-18T08:00:02.143</pubDate>
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            <title><![CDATA[ Agentic AI for Offensive Cybersecurity : Build and automate smarter penetration testing workflows using AI-driven agents ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978376</link>
            <description><![CDATA[
            Auteur : Yildirim, Orhan<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978376"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806114467.jpg" /></a></p>
            <p><p><b>Master offensive security with Agentic AI, MCP, and n8n. Build automated penetration testing workflows for reconnaissance, exploitation, reporting, and continuous threat intelligence.</b></p><h4>Key Features</h4><ul><li>Build end-to-end agentic AI-driven penetration testing workflows using n8n and Model Context Protocol(MCP).</li><li>Automate reconnaissance, exploitation, payload generation, and professional vulnerability reporting with agentic AI agents.</li><li>Design browser-based security testing tools with MCP, and integrate continuous threat intelligence into your offensive workflows.</li></ul><h4>Book Description</h4> AI agents have moved from demos to practical tooling, especially for offensive security work where repeatability and context matter. This book shows you how to apply agentic AI to real penetration testing automation, keeping a human in the loop while speeding up reconnaissance, validation, and reporting.
You’ll build end-to-end workflows with n8n for reconnaissance automation, attack surface management, and repeatable testing tasks such as port scanning and PCI segmentation testing. You’ll also create browser-based security testing tools using the Model Context Protocol (MCP), enabling LLM-powered agents to coordinate tooling, manage context, and assist with vulnerability analysis and documentation. 
The focus is hands-on practice, as you’ll assemble practical offensive workflows for web application testing, exploitation support, and professional pentest reporting, then extend your pipeline with threat intelligence automation, including agents that monitor CVE feeds and keep your testing aligned with emerging risk.
If you’re a penetration tester, red teamer, or security engineer looking to make assessments faster, more consistent, and easier to scale across engagements, this book gives you patterns that you can adapt to your environment.<h4>What you will learn</h4><ul><li>Understand agentic AI principles for offensive security</li><li>Evaluate and select AI frameworks for security automation</li><li>Build your first AI-driven recon workflow using n8n</li><li>Automate attack surface discovery and port scanning with AI</li><li>Design PCI segmentation testing workflows with n8n</li><li>Build web app testing tools using MCP</li><li>Automate exploitation, payload generation, and reporting</li><li>Create threat intelligence agents that monitor CVE feeds</li></ul><h4>Who this book is for</h4><p>This book is perfect for cybersecurity professionals, penetration testers, red teamers, CISOs, and security managers. If you're aiming to understand how AI-driven automation can enhance offensive cybersecurity workflows and vulnerability management, you'll find valuable insights and practical guidance here.</p></p>
            ]]></description>
            <pubDate>2026-03-18T08:00:02.143</pubDate>
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            <title><![CDATA[ Video Editing Made Easy with DaVinci Resolve 20 : Create quick video content for your social media, the web, and business ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978500</link>
            <description><![CDATA[
            Auteur : Phillips, Lance<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978500"><img src="https://static.cyberlibris.com/books_upload/300pix/9781836208822.jpg" /></a></p>
            <p><p><b>Boost your social media reach by using DaVinci Resolve 20 to create impressive micro-content with guidance from a Blackmagic Design Certified Training Partner

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Learn how to make quick video content to engage and grow your audience</li><li>Enrich your content with creative editing, graphics, color correction, and sound editing techniques</li><li>Discover the latest features of DaVinci Resolve 20 to bring your creative ideas to life</li></ul><h4>Book Description</h4>Micro-content drives today’s social media and business marketing, but poor editing and low-quality video can quickly turn viewers away. DaVinci Resolve helps you elevate your content using professional-grade technology trusted in Hollywood films, TV shows, and commercials.
In this practical, beginner-friendly guide, Lance Phillips, a Blackmagic Design Certified Training Partner with over 30 years of teaching and industry experience, shows you how to create polished video content for social media, business, and the web using DaVinci Resolve. Selected sections of the book are presented in color to clearly illustrate visual workflows and key editing concepts. While the book is written using DaVinci Resolve 20, most workflows, techniques, and concepts apply to DaVinci Resolve 18 and later versions.
You’ll learn how to create complete short-form videos using the Cut page, apply efficient editing techniques such as split edits, syncing externally recorded audio, and recording voiceovers directly into your project. You’ll also explore essential sound editing workflows and simple yet powerful visual effects, including green screen, split screen, and picture-in-picture.
By the end of this book, you’ll be able to confidently edit, finish, and publish short-form videos to platforms such as YouTube, TikTok, and Vimeo.

*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Edit and add effects to your videos quickly using the Cut page</li><li>Export videos to various social media platforms</li><li>Fix common video issues, such as stabilizing footage and syncing audio</li><li>Enhance video visuals with green screen and other simple visual effects techniques</li><li>Utilize AI in DaVinci Resolve Studio to speed up your work</li><li>Understand common filmmaking terms, including codecs and video compression types</li></ul><h4>Who this book is for</h4><p>This book is for budding content creators looking to improve their video editing skills. It's also useful for experienced content makers who want to begin using DaVinci Resolve’s advanced features. The book is a practical training guide for social media marketers, influencers, short film makers, small business owners, vloggers, and film/media studies students. A basic understanding of how to create your social media channels is enough. Most techniques in this book work with the free version of DaVinci Resolve, with selected features covered using DaVinci Resolve Studio.</p></p>
            ]]></description>
            <pubDate>2026-03-18T08:00:02.143</pubDate>
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            <title><![CDATA[ Podman for DevOps : Build secure, rootless containers, and integrate them into real DevOps and AI workflows ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978502</link>
            <description><![CDATA[
            Auteur : Arrichiello, Alessandro<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978502"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835886632.jpg" /></a></p>
            <p><p><b> Learn to build, manage, and deploy containers on Linux using Podman, Buildah, and Skopeo, and integrate them with Kubernetes and systemd, while running AI models locally through the Podman Desktop interface</b></p><h4>Key Features</h4><ul><li>Create containers from scratch using Buildah and move images securely with Skopeo</li><li>Harden your container environment with rootless Podman, SELinux, and signed images</li><li>Manage Kubernetes resources and streamline AI workflows with Podman Desktop</li></ul><h4>Book Description</h4>Containers are transforming how modern applications are built, deployed, and scaled. Podman offers a powerful, secure alternative to Docker by eliminating the daemon and embracing rootless container execution. If you're ready to move beyond legacy workflows and gain full control over container management, this practical guide is for you.
You’ll begin with container fundamentals and a side-by-side comparison of Docker and Podman to ease the transition. Then, you'll run your first container, manage its lifecycle, and use Buildah to build images from scratch. Skopeo helps you transfer and inspect images across registries. As you progress, you’ll secure your environment with rootless containers, signed images, and SELinux policies. You’ll also configure container networking, integrate workloads with systemd services, and troubleshoot issues using native Linux tools. The final chapters focus on modern developer workflows, showing how to migrate existing Docker workloads, manage containers and Kubernetes resources visually using Podman Desktop, and leverage Podman AI Lab to experiment with, run, and manage AI/ML models locally in a containerized environment.
By the end of this book, you’ll be able to build, run, and secure containers, automate workflows, and confidently manage deployments across DevOps and AI-powered environments.<h4>What you will learn</h4><ul><li>Understand the fundamentals and history of container technology</li><li>Compare Podman and Docker to choose the right container engine</li><li>Run and manage containers on various Linux environments using Podman</li><li>Build containers from scratch using Buildah and manage them with Skopeo</li><li>Secure containers using rootless execution, SELinux, and image signing</li><li>Troubleshoot and monitor containers using system tools and Podman CLI</li><li>Connect containers with advanced networking and integrate them with systemd</li><li>Manage containers and explore AI/ML use cases with Podman Desktop</li></ul><h4>Who this book is for</h4><p>The book is for cloud developers looking to learn how to build and package applications inside containers and system administrators who want to deploy, manage, and integrate them with system services and orchestration solutions. This book provides a detailed comparison between Docker and Podman to aid you in learning Podman quickly. Basic Linux skills are assumed. Familiarity with Docker, container concepts, and cloud environments is helpful but not required, as concepts are introduced progressively.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ LaTeX Beginner's Guide : Write research papers, theses, and presentations with professional formatting, math, and citations ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978504</link>
            <description><![CDATA[
            Auteur : Kottwitz, Stefan<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978504"><img src="https://static.cyberlibris.com/books_upload/300pix/9781805804567.jpg" /></a></p>
            <p><p><b>Learn LaTeX to format documents, equations, and citations with ease. Manage bigger projects, typeset professionally, create publication-ready PDFs, & skill up with AI tools
Add on: A companion website with an integrated online compiler to run all code examples.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Create professional, structured documents with precise formatting, citations, and bibliographies</li><li>Learn LaTeX through hands-on examples covering math formulas, tables, figures, and presentations</li><li>Explore modern LaTeX features, including AI-powered tools and advanced PDF capabilities</li></ul><h4>Book Description</h4>Writing a thesis, research paper, technical report, or book often challenges users with formatting and consistency. The LaTeX typesetting tool offers a powerful, structured approach to document creation, though mastering it can be daunting for beginners. This third edition of the LaTeX Beginner’s Guide simplifies the learning curve, providing a hands-on introduction to writing professional-quality documents efficiently.
Written by Stefan Kottwitz, a leading LaTeX expert and community moderator, this book builds on over 20 years of coding and publishing experience along with feedback from LaTeX users worldwide. Through step-by-step tutorials and real-world examples, you’ll learn how to fine-tune text, typeset complex equations, manage citations, and produce high-quality tables, images, and presentations. The book also explores modern LaTeX features, including advanced PDF capabilities and different TeX engines. With dedicated sections on slide presentations and best practices for document structuring, this edition ensures that users can optimize their workflows and produce publication-ready documents with ease.
By the end of this book, you'll confidently use the LaTeX software to produce academic papers, generate bibliographies, and achieve professional layouts for any type of document.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Format and structure research papers, reports, books, or theses</li><li>Create tables, figures, citations, and bibliographies with ease</li><li>Typeset math and scientific notations professionally</li><li>Design presentations slides</li><li>Generate polished PDFs with hyperlinks and metadata</li><li>Manage large projects consistently</li><li>Boost productivity with AI-powered coding, writing, and formatting tools</li></ul><h4>Who this book is for</h4><p>This book is for students, researchers, educators, and professionals in academia, STEM, and publishing who need to create structured, high-quality documents. Whether you're preparing research papers, technical reports, books, or presentations, this guide simplifies LaTeX for beginners while offering advanced features for experienced users. No prior LaTeX knowledge is required, making it ideal for anyone looking to skill up in professional document formatting, citations, and PDF production with ease.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Design Multi-Agent AI Systems Using MCP and A2A : Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978506</link>
            <description><![CDATA[
            Auteur : Sayfan, Gigi<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978506"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806116461.jpg" /></a></p>
            <p><p><b>Build a production-ready multi-agent AI framework from scratch using MCP and A2A to orchestrate powerful agent workflows

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*
</b></p><h4>Key Features</h4><ul><li>Build Python-based AI agents without relying on third-party orchestration frameworks</li><li>Design production-ready multi-agent systems using A2A messaging</li><li>Integrate memory and context with MCP to create adaptive and stateful agentic AI frameworks</li></ul><h4>Book Description</h4>Frustrated by opaque agent frameworks that hide how things work? This book gives you complete control by guiding you through building a fully functional, extensible agentic AI framework in Python without relying on external orchestration tools.
You’ll begin by implementing a simple tool-using agent, and then gradually extend its capabilities with structured tool schemas, user interfaces, and memory via the Model Context Protocol (MCP). From there, you’ll build collaborative multi-agent systems powered by Agent-to-Agent (A2A) messaging and deploy them in realistic environments. Along the way, you’ll explore secure tool invocation, message routing, observability, and human-in-the-loop workflows.
With annotated code, deep engineering insights, and practical deployment patterns, this hands-on guide equips you to build AI agents that reason, plan, act, and adapt, whether you’re shipping production systems or experimenting with cutting-edge LLM-based architectures.
Written by Gigi Sayfan, who builds AI agent infrastructure at Perplexity and is a bestselling author with decades of experience in AI and distributed systems, this book gives you the tools and knowledge to engineer your own advanced agentic systems.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Design and implement tool-using AI agents from the ground up</li><li>Build modular components for extensible agent frameworks</li><li>Create secure and observable tools with structured inputs</li><li>Integrate agents with chat UIs such as Slack and Chainlit</li><li>Leverage MCP for context handling and agent memory</li><li>Orchestrate collaborative agent workflows using A2A</li><li>Debug and deploy agents in production-like environments</li><li>Explore future-ready agent capabilities and GenUX design</li></ul><h4>Who this book is for</h4><p>This book is essential for AI engineers, ML practitioners, and software architects building agentic systems with large language models. It’s also ideal for DevOps engineers and technical leaders seeking deep insights into building and scaling autonomous AI workflows. Python coding skills and basic familiarity with LLMs are recommended.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Microsoft Intune Cookbook : Practical recipes for configuring, managing, securing, and automating identities, apps, and endpoints ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978507</link>
            <description><![CDATA[
            Auteur : Taylor, Andrew<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978507"><img src="https://static.cyberlibris.com/books_upload/300pix/9781805807223.jpg" /></a></p>
            <p><p><b>Updated edition of Packt's trusted, top-selling Intune title, this cookbook helps you solve daily admin challenges faster using proven workflows, PowerShell and Microsoft Graph automation, reporting, and AI-assisted insights for secure, reliable endpoint operations.
</b></p><h4>Key Features</h4><ul><li>Manage and secure cloud-connected endpoints across Windows, macOS, iOS, Android, and Linux</li><li>Automate Intune administration using PowerShell and Microsoft Graph APIs</li><li>Improve operational efficiency with analytics, reporting, and AI-powered guidance using Security Copilot</li></ul><h4>Book Description</h4>Microsoft Intune Cookbook, Second Edition, is a hands-on guide for IT administrators managing and supporting modern endpoints, built around the latest Intune capabilities and endpoint security enhancements.
Written by Andrew Taylor, an experienced Intune practitioner and active community contributor, it focuses on everyday admin tasks and turns them into clear, repeatable recipes. You’ll start by preparing an Intune tenant and setting up key Entra ID foundations, then work through managing Windows, macOS, iOS, Android, and Linux using practical, proven workflows. Along the way, you’ll configure policies, enroll devices, deploy apps, and strengthen security with compliance, Microsoft Defender integration, encryption, and Conditional Access. You’ll also go beyond the portal by using PowerShell and Microsoft Graph to automate routine work, reduce manual effort, and make changes at scale. Monitoring and reporting are covered so you can track device health, security posture, and deployment outcomes with confidence.
Advanced scenarios include secure remote support, privilege elevation, cloud-based certificate management, real-time queries, and AI-assisted guidance to speed up troubleshooting and decision-making. By the end, you’ll have practical techniques you can apply immediately to run a modern, cloud-first Intune environment.<h4>What you will learn</h4><ul><li>Set up and configure a Microsoft Intune tenant</li><li>Manage Windows, macOS, iOS, Android, and Linux devices</li><li>Secure endpoints using policies, compliance, and Microsoft Defender</li><li>Deploy and manage applications across platforms</li><li>Automate administration with PowerShell and Microsoft Graph</li><li>Monitor devices using analytics, reporting, and logs</li><li>Apply advanced endpoint capabilities such as Remote Help and EPM</li><li>Use AI-assisted insights to troubleshoot and optimize operations</li></ul><h4>Who this book is for</h4><p>This book is for IT administrators, endpoint engineers, and cloud administrators responsible for managing devices with Microsoft Intune. It suits professionals with basic knowledge of Windows and Microsoft 365 who want practical guidance for daily device management, security, application deployment, compliance, troubleshooting, and automation across multiple platforms in a cloud-first environment.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ GUI Programming with C# : Learn GUI development by building beginner-friendly apps with Blazor, MAUI, and WinUI 3 ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978508</link>
            <description><![CDATA[
            Auteur : Hahn, Marcelo Guerra<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978508"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835882559.jpg" /></a></p>
            <p><p><b>Learn the basics of GUI programming in C# through clear, step-by-step examples using Blazor, .NET MAUI, and WinUI 3. Build simple web and desktop interfaces while understanding core UI concepts, event handling, and data binding.</b></p><h4>Key Features</h4><ul><li>Understand core GUI principles in C# through simple, guided examples</li><li>Build introductory apps with Blazor, .NET MAUI, and WinUI 3</li><li>Learn data binding and foundational MVVM concepts</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Developing graphical user interfaces in C# can feel overwhelming with so many frameworks and tools to choose from. This book simplifies the journey by teaching GUI fundamentals through small, structured, and practical examples.
You start with core GUI concepts, event driven programming, and basic interface design. Then you build simple web apps using Blazor and WebAssembly, learning about components, rendering, and data binding. Next, you explore cross platform development with .NET MAUI, working with XAML, layouts, controls, and basic app logic. Finally, you create Windows desktop applications with WinUI 3, using common controls and foundational patterns such as MVVM and data binding.
Rather than focusing on complex enterprise architecture, the book builds your skills step by step. Each chapter reinforces key ideas through clear examples designed to build confidence and practical understanding.
Written by Marcelo, a developer with over 18 years of experience in C#, C++, Azure, and data driven systems, this book helps you gain clarity in GUI development. By the end, you will be able to create simple, well structured web and desktop interfaces in C# and understand the core concepts behind them.<h4>What you will learn</h4><ul><li>Understand core GUI concepts and event-driven programming in C#</li><li>Create beginner-friendly web interfaces using Blazor components</li><li>Build simple cross-platform apps with .NET MAUI and XAML</li><li>Handle user input, events, and basic UI logic in your applications</li><li>Develop Windows desktop interfaces with WinUI 3 controls</li><li>Apply data binding and introductory MVVM patterns</li></ul><h4>Who this book is for</h4><p>This book is for C# developers who want a beginner-friendly introduction to GUI programming. It is suitable for junior developers, backend developers expanding into UI work, and learners who want to understand the foundations before exploring more advanced UI architecture.
You should be comfortable with basic C# syntax, classes, and object-oriented programming concepts. No prior experience with Blazor, .NET MAUI, WinUI 3, XAML, or MVVM is required.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Model Context Protocol for LLMs : Build secure, scalable, and context-aware AI agents using a standardized protocol ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978509</link>
            <description><![CDATA[
            Auteur : Krishnan, Naveen<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978509"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806662265.jpg" /></a></p>
            <p><p><b>Build scalable, secure LLM applications with the Model Context Protocol and design modular, context-aware multi-agent systems for real-world deployment

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

</b></p><h4>Key Features</h4><ul><li>Build modular, production-ready AI agents using the Model Context Protocol (MCP)</li><li>Integrate MCP with LangChain, AutoGen, and RAG for multi-agent collaboration</li><li>Apply security, performance optimization, and evaluation patterns for real-world deployment</li></ul><h4>Book Description</h4>Modern LLM applications often fail due to weak context management, fragile tool integration, and poorly coordinated agents. To address these challenges, this book provides a practical blueprint for building reliable, scalable AI systems using the Model Context Protocol (MCP), an open standard for interoperable AI architectures.
You'll explore why context is the missing layer in many AI deployments and how MCP formalizes it. Through clear explanations and practical examples, you'll design modular components such as resource providers, tool providers, gateways, and standardized interfaces. You'll also integrate MCP with LangChain, AutoGen, and RAG pipelines to build collaborative, context-aware multi-agent systems.
You'll learn how to apply MCP to multimodal applications, personalization engines, and enterprise knowledge management solutions, while evaluating and benchmarking implementations for production readiness and implementing authentication, authorization, and scaling strategies for secure cloud deployments.
Written by a data and AI solutions engineer with over 17 years of experience at Microsoft and Fortune 500 organizations, this guide combines architectural depth with hands-on implementation. By the end, you'll be able to design, build, and deploy secure, reusable MCP-based LLM systems that scale confidently in production.

*Email sign-up and proof of purchase required
 <h4>What you will learn</h4><ul><li>Understand the MCP architecture and standardized primitives</li><li>Implement resource and tool providers in Python</li><li>Connect LangChain and AutoGen to MCP pipelines</li><li>Secure agent interactions using authentication and access control</li><li>Add RAG pipelines with shared contextual memory</li><li>Apply authentication, TLS, and access control models</li><li>Optimize performance with caching and async patterns</li><li>Evaluate and benchmark MCP systems for production readiness</li></ul><h4>Who this book is for</h4><p>AI/ML engineers, software engineers, and solution architects building LLM-powered applications in production will benefit the most from this book. Cloud architects and platform engineers designing AI infrastructure will also find it valuable. If you’re looking for a standardized, modular, and secure approach to managing context across agents and tools, this guide is for you. Intermediate Python skills, a working knowledge of LLM concepts and REST APIs, and familiarity with system design patterns are expected.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Apps and Services with .NET 10 : Build practical projects with Avalonia, Blazor, gRPC, GraphQL, and other enterprise technologies ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978282</link>
            <description><![CDATA[
            Auteur : Price, Mark  J.<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978282"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835469026.jpg" /></a></p>
            <p><p><b>Bestselling author Mark Price guides you through the latest and most common technologies a .NET developer should know: ASP.NET Core, Blazor, Minimal APIs, .NET MAUI, Avalonia, gRPC, GraphQL, SQL Server, SignalR, and more!?

Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Use specialized libraries to improve all aspects of your apps, including security and localization</li><li>Unlock scalability, performance, and resilience in your services</li><li>Unleash the capabilities of Avalonia, Blazor, and MAUI to develop stunning, truly cross-platform apps for desktop, web, and mobile</li></ul><h4>Book Description</h4>Building modern apps and services with C# and .NET isn’t just about knowing the syntax—it’s about knowing the right tools for the job. Whether you’re building for web, desktop, or mobile, the .NET ecosystem offers a vast range of technologies. But with so many choices, it’s easy to get stuck in a narrow skillset. Apps and Services with .NET 10 helps you build real-world experience across the breadth of what .NET has to offer.
This edition covers practical implementations across a diverse set of technologies. You'll build APIs with ASP.NET Core Minimal API, gRPC, GraphQL, and SignalR, and create user-facing applications using Blazor for the web, Avalonia for desktop, and .NET MAUI for mobile. You’ll also explore native AOT (Ahead-of-Time) compilation for high-performance web services, along with caching, messaging, and long-running background tasks. Each chapter provides hands-on projects and real-world context for when and why to use each tool.
By the end, you’ll have a full-stack command of modern .NET. You’ll know how to select the right UI tech for your target platform, build APIs that scale, architect reliable backend services, and confidently adopt newer patterns. You won’t just understand the tools—you’ll know how to put them together to deliver robust, user-friendly, cross-platform apps in production environments.

*Email sign-up and proof of purchase required
<h4>What you will learn</h4><ul><li>Familiarize yourself with a variety of technologies to implement services, such as gRPC and GraphQL</li><li>Store and manage data locally and cloud-natively with SQL Server</li><li>Implement web services with native AOT publish support</li><li>Leverage Dapper for improved performance over EF Core</li><li>Implement popular third-party libraries such as Serilog, Humanizer, and Noda Time</li><li>Build web apps using Blazor, mobile apps using MAUI, and desktop apps using Avalonia</li></ul><h4>Who this book is for</h4><p>This book is for .NET developers interested in exploring more specialized libraries and implementation fundamentals behind building services and apps.
You’ll need to know your way around .NET and C# to make the most of this book, so if you want to work your way up to this book, you can pick up Mark’s other .NET book, C# 14 and .NET 10 – Modern Cross-Platform Development Fundamentals, first.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Vibe Coding with Cursor, Windsurf, and Lovable : Build Apps Fast with AI-Assisted Software Development and Testing ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978338</link>
            <description><![CDATA[
            Auteur : Lim, Greg<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978338"><img src="https://static.cyberlibris.com/books_upload/300pix/9781807301620.jpg" /></a></p>
            <p><p><b>Build, test, and deploy real-world applications faster using AI-powered tools like Cursor, Windsurf, and Lovable with modern vibe coding workflows.</b></p><h4>Key Features</h4><ul><li>Master the emerging vibe coding mindset for AI-assisted software development</li><li>Build and deploy complete applications using Cursor, Windsurf, and Lovable</li><li>Apply real-world development practices including specifications, testing, version control, and CI-style workflows</li></ul><h4>Book Description</h4>Software development is evolving rapidly, and working effectively with AI is becoming a core skill. Vibe Coding with Cursor, Windsurf & Lovable introduces a practical, AI-first approach to building applications by guiding intelligent coding agents instead of writing every line of code manually.

Through hands-on examples, you’ll learn how to create applications from scratch using Cursor, structure projects with specifications and to-do lists, manage code with Git, and add automated tests. You’ll then explore Lovable’s no-code and low-code workflows to build and deploy full-stack apps, before moving on to Windsurf to analyze and extend existing codebases.

By the end of this book, you’ll have a repeatable, professional workflow for building and shipping real-world applications faster, combining the speed of AI with sound engineering practices.<h4>What you will learn</h4><ul><li>Understand the vibe coding mindset and how it differs from traditional development</li><li>Build applications using natural language with Cursor's AI agents</li><li>Write effective specifications and to-do lists to guide AI-generated code</li><li>Add automated testing, refactor code, and manage changes with Git and GitHub</li><li>Build and deploy full-stack apps using Lovable and Supabase</li><li>Analyze and extend existing projects using Windsurf</li><li>Control AI output with rules and automate workflows for faster iteration</li><li>Deploy applications confidently using modern cloud platforms</li></ul><h4>Who this book is for</h4><p>This book is for beginners curious about building apps without coding every line, developers who want to prototype faster and guide AI effectively, and anyone interested in how AI is transforming the entire software development process.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Modern Time Series Analysis with R : Practical forecasting and impact estimation with tidy, reproducible workflows ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978347</link>
            <description><![CDATA[
            Auteur : Khandakar, Dr. Yeasmin<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978347"><img src="https://static.cyberlibris.com/books_upload/300pix/9781805124306.jpg" /></a></p>
            <p><p><b>Gain expertise in modern time series forecasting and causal inference in R to solve real-world business problems with reproducible, high-quality code</b></p><h4>Key Features</h4><ul><li>Explore forecasting and causal inference with practical R examples</li><li>Build reproducible, high-quality time series workflows using tidyverse and modern R packages</li><li>Apply models to real-world business scenarios with step-by-step guidance</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Modern Time Series Analysis with R is a comprehensive, hands-on guide to mastering the art of time series analysis using the R programming language. Written by leading experts in applied statistics and econometrics, this book helps data scientists, analysts, and developers bridge the gap between traditional statistical theory and practical business applications.
Starting with the foundations of R and tidyverse, you’ll explore the core components of time series data, data wrangling, and visualization techniques. The chapters then guide you through key modeling approaches, ranging from classical methods like ARIMA and exponential smoothing to advanced computational techniques, such as machine learning, deep learning, and ensemble forecasting.
Beyond forecasting, you’ll discover how time series can be applied to causal inference, anomaly detection, change point analysis, and multiple time series modeling. Practical examples and reproducible code will empower you to assess business problems, choose optimal solutions, and communicate results effectively through dynamic R-based reporting.
By the end of this book, you’ll be confident in applying modern time series methods to real-world data, delivering actionable insights for strategic decision-making in business, finance, technology, and beyond.<h4>What you will learn</h4><ul><li>Understand core concepts and components of time series data</li><li>Wrangle and visualize time series with tidyverse and R packages</li><li>Apply ARIMA, exponential smoothing, and machine learning methods</li><li>Explore deep learning and ensemble forecasting approaches</li><li>Conduct causal inference with interrupted time series analysis</li><li>Detect anomalies, structural changes, and perform change point analysis</li><li>Analyze multiple time series using hierarchical and grouped models</li><li>Automate reproducible reporting with RStudio and dynamic documents</li></ul><h4>Who this book is for</h4><p>This book is for data scientists, analysts, and developers who want to master time series analysis using R. It is ideal for professionals in finance, retail, technology, and research, as well as students seeking practical, business-oriented approaches to forecasting and causal inference. Basic knowledge of R is assumed, but no advanced mathematics is required.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Flutter for Beginners : Introductory guide to kickstart your cross-platform mobile app career with Flutter and Dart ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978348</link>
            <description><![CDATA[
            Auteur : Bailey, Thomas<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978348"><img src="https://static.cyberlibris.com/books_upload/300pix/9781805803645.jpg" /></a></p>
            <p><p><b>Learn from real-world examples to build, launch, and maintain your own Flutter apps with this extensive beginner's guide</b></p><h4>Key Features</h4><ul><li>Familiarize yourself with Dart and Flutter fundamentals through practical, real-world examples</li><li>Explore widgets, animations, and plugins to craft intuitive UIs</li><li>Package and deploy your Flutter apps to achieve native-like performance</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>The Fourth edition of Flutter for Beginners is fully updated for the latest Flutter and Dart releases, ready to guide you from taking your first steps in Flutter to publishing your first cross-platform app. Designed for new developers and those transitioning from other technologies, this practical guide shows you how to build, test, and release high-quality mobile apps for iOS, Android, and the web.
With a project-based approach, this book will help you master the fundamentals of Dart and Flutter’s widget-driven architecture while building a complete app from scratch. Each chapter builds on the last with step-by-step explanations that will teach you how to design beautiful interfaces, manage state, handle navigation and user input, and add animations that bring your UI to life.
You’ll explore popular third-party plugins such as Firebase and Google Maps, learn to debug and test your code effectively, and prepare your app for release on multiple platforms.
By the end of this book, you’ll have the hands-on experience and confidence to design, build, and publish your own Flutter apps using the latest best practices.<h4>What you will learn</h4><ul><li>Explore Flutter core concepts and use for cross-platform development</li><li>Gain a solid understanding of the fundamentals of Dart</li><li>Work with Flutter widgets and learn about stateful/stateless widgets</li><li>Take on advanced fundamentals such as navigation and state management</li><li>Add animation using animated widgets and advanced animation techniques</li><li>Manage the entire development lifecycle, including testing and debugging</li><li>Release your app to both mobile stores and the web</li></ul><h4>Who this book is for</h4><p>This book is for developers looking to learn Google's revolutionary framework Flutter from scratch. No prior knowledge of Flutter or Dart is required.
</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Python Illustrated : Not another boring Python book, learn programming the fun way ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978375</link>
            <description><![CDATA[
            Auteur : Putten, Maaike Van<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978375"><img src="https://static.cyberlibris.com/books_upload/300pix/9781836646327.jpg" /></a></p>
            <p><p><b>Learn Python coding concepts the fun way through humour, storytelling, and beginner-friendly examples that make your first step into the world of Python programming enjoyable</b></p><h4>Key Features</h4><ul><li>Follow an adorable, illustrated teaching cat with sharp coding instincts as your guide</li><li>Build confidence and coding skills with step-by-step explanations that gradually increase your understanding</li><li>Reinforce your learning through mini-projects and exercises at the end of every chapter</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>This is not your average Python programming book, because the world doesn’t need another one of those. Instead, it’s an illustrated, fun, and hands-on guide that treats learning Python like the adventure it should be. It’s designed especially for beginners who want to understand how code works without getting overwhelmed. 

You’ll be guided by a cheeky, know-it-all cat who’s surprisingly good at teaching Python from scratch. Don’t worry about going through it alone; a slightly moody dachshund dog is your study buddy, learning right alongside you. Each chapter introduces a core programming concept, explains it with a playful twist, and reinforces it through human-friendly examples, analogies, and exercises. Whether you’re a software professional or someone who’s never written a single line of code, this book will help you build real Python coding skills… and even enjoy the process (shocking, right?). 

Forget dry tutorials and walls of text. Python Illustrated speaks to visual learners, creative thinkers, cat lovers, dog lovers, and anyone who prefers their learning with a dash of humor. From writing your first function to understanding object-oriented programming, you’ll build a solid foundation in Python (without the usual headaches). <h4>What you will learn</h4><ul><li>Set up Python and write your first program</li><li>Understand variables, data types, and conditional statements</li><li>Use loops, lists, dictionaries, and tuples to handle data efficiently</li><li>Write and use functions to create reusable code</li><li>Manage files and understand object-oriented programming and inheritance</li><li>Debug your Python code to ensure it works flawlessly</li><li>Discover how you can keep learning and building beyond this book</li></ul><h4>Who this book is for</h4><p>This book is ideal for anyone with a sense of humour who’s new to Python or programming in general. It takes a step-by-step hands-on approach that will work for anyone with a practical mindset. Whether you're a student or a professional developer looking to expand your skill set, this book offers a comprehensive and enjoyable learning experience.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Mastering NLP From Foundations to Agents : Building AI Agents through Agentic Automation and RAG Workflows with Python ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978511</link>
            <description><![CDATA[
            Auteur : Gazit, Lior<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978511"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806106127.jpg" /></a></p>
            <p><p><b>This second edition spans NLP foundations to LLMs, RAG, & agentic systems, teaching you to design and fine-tune production-ready AI solutions in Python.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Engineer NLP systems from ML foundations to LLM architectures</li><li>Implement RAG pipelines, routing layers, and agent workflows</li><li>Fine-tune and align LLMs using LoRA, RLHF, and DPO methods</li><li>Design production-grade AI systems with governance and safety</li></ul><h4>Book Description</h4>Natural Language Processing has evolved beyond rule-based systems and classical machine learning (ML). This second edition guides you through that transformation from mathematical and ML foundations to large language models, retrieval pipelines, agentic automation, and AI-native system design. It strengthens core NLP concepts while expanding into modern architectures such as transformers, parameter-efficient fine-tuning (LoRA and QLoRA), and alignment methods like RLHF and DPO.
You’ll begin with essential linear algebra, probability, and ML principles before moving into text preprocessing, feature engineering, classification pipelines, and deep learning architectures. From there, the focus shifts to system design: building Retrieval-Augmented Generation (RAG) pipelines, implementing model routing strategies that balance cost and performance, and orchestrating structured multi-agent workflows. You'll also introduce structured interoperability patterns, including the Model Context Protocol (MCP). Governance and safety will be treated as architectural concerns, demonstrating how policy and compliance can be integrated directly into AI systems. By the end, you will have the tools to implement NLP techniques and be equipped to design, govern, and deploy intelligent systems built on them.
*Email sign-up and proof of purchase required<h4>What you will learn</h4><ul><li>Build strong NLP foundations in math and ML</li><li>Engineer text classification and NLP pipelines</li><li>Train and fine-tune modern LLM architectures</li><li>Implement RAG systems with LangChain</li><li>Orchestrate multiple AI agents and tools to solve complex tasks</li><li>Evaluate NLP model performance and apply AI safety best practices</li><li>Integrate external data and tools using Model Context Protocol (MCP)</li><li>Fine-tune transformers with LoRA, QLoRA, and DPO techniques</li></ul><h4>Who this book is for</h4><p>This book is for machine learning engineers, data scientists, and NLP practitioners looking to deepen their expertise and build advanced AI solutions. It also benefits professionals and researchers who want to apply the latest NLP and LLM techniques in real-world projects. Software engineers entering the AI field and tech enthusiasts keen on modern NLP advancements will find it valuable. A solid understanding of Python and basic Machine Learning concepts is assumed.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ Architectures for the Intelligent AI-Ready Enterprise : Building real-world solutions with MongoDB ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978340</link>
            <description><![CDATA[
            Auteur : Bialek, Boris<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978340"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806117147.jpg" /></a></p>
            <p><p><b>Create AI-ready enterprise solutions with MongoDB and discover how to design intelligent architectures that transform data into innovation, efficiency, and real business value</b></p><h4>Key Features</h4><ul><li>Complete guide covering GenAI to agentic AI, semantic protection to multi-agent systems</li><li>25+ proven AI use cases delivering measurable impact across 6+ industries</li><li>15+ real enterprise case studies from Novo Nordisk, Base 39, and more</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>AI is reshaping industries, yet most organizations struggle to scale beyond pilots. Architectures for the Intelligent AI-Ready Enterprise bridges this gap with practical frameworks for building AI-ready architectures that deliver lasting business value.
The book helps you explore System of Action databases and see why they're revolutionizing real-time decision-making. Through real-world applications across industries, from manufacturing and healthcare to financial services and retail, you'll discover how leading organizations transform their operations. You'll learn semantic data protection techniques that enable AI in regulated industries, as well as master advanced patterns including agentic AI and multi-agent orchestration.
Written by MongoDB and industry practitioners, this book combines strategy with technical depth and proven business value. You’ll modernize by enabling AI innovation while preserving existing investments, implement trustworthy AI with governance frameworks, and build scalable solutions using a unified data platform like MongoDB that delivers measurable ROI and transformation.
Whether you're architecting next-generation systems or modernizing legacy infrastructure, this book provides the patterns, case studies, and expert guidance to build enterprises that’ll thrive in an intelligent future.<h4>What you will learn</h4><ul><li>Design AI-ready data architectures that scale in production</li><li>Define systems of action and explain why they matter for enterprises</li><li>Modernize legacy systems for AI-ready, unified architectures</li><li>Implement governance, privacy, and compliance frameworks for AI</li><li>Explore real-world AI implementations for over six industries</li><li>Deploy production RAG and agentic systems with MongoDB</li><li>Apply semantic data protection in regulated industries</li><li>Build domain-specific AI agents and intelligent copilots</li><li>Apply MCP, causal AI, and multi-agent systems for future-ready architectures</li></ul><h4>Who this book is for</h4><p>This book is for IT leaders, enterprise architects, solution designers, and innovators ready to transform AI potential into production reality. Whether you're modernizing legacy systems, implementing scalable AI solutions, or translating AI concepts into measurable business outcomes, this book provides practical frameworks and industry-proven patterns. Basic familiarity with enterprise systems and data architecture is helpful, but deep AI expertise isn't required.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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                <item>
            <title><![CDATA[ Hands-On  MLOps on Azure : Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978346</link>
            <description><![CDATA[
            Auteur : De, Banibrata<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978346"><img src="https://static.cyberlibris.com/books_upload/300pix/9781836200321.jpg" /></a></p>
            <p><p><b> A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in production</b></p><h4>Key Features</h4><ul><li>Build reproducible ML pipelines with Azure ML CLI and GitHub Actions</li><li>Automate ML workflows end to end, including deployment and monitoring</li><li>Apply LLMOps principles to deploy and manage generative AI responsibly across clouds</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Effective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.
The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using pipelines. You'll implement CI/CD with GitHub Actions and the Azure ML CLI, automate deployments, and manage governance and alerting for enterprise use. The author draws on their production ML experience to provide you with actionable guidance and real-world examples. A dedicated section on LLMOps covers operationalizing large language models (LLMs) such as GPT-4 using RAG patterns, evaluation techniques, and responsible AI practices. You'll also work with case studies across Azure, AWS, and GCP that offer practical context for multi-cloud operations.
Whether you're building pipelines, packaging models, or deploying LLMs, this guide delivers end-to-end strategy to build robust, scalable systems. By the end of this book, you'll be ready to design, deploy, and maintain enterprise-grade ML solutions with confidence.
<h4>What you will learn</h4><ul><li>Understand the DevOps to MLOps transition</li><li>Build reproducible, reusable pipelines using the Azure ML CLI</li><li>Set up CI/CD for training and deployment workflows</li><li>Monitor ML applications and detect model/data drift</li><li>Capture and secure governance and lineage data</li><li>Operationalize LLMs using RAG and prompt flows</li><li>Apply MLOps across Azure, AWS, and GCP use cases</li></ul><h4>Who this book is for</h4><p>This book is for DevOps and Cloud engineers and SREs interested in or responsible for managing the lifecycle of machine learning models. Professionals who are already familiar with their ML workloads and want to improve their practices, or those who are new to MLOps and want to learn how to effectively manage machine learning models in this environment, will find this book beneficial. The book is also useful for technical decision-makers and project managers looking to understand the process and benefits of MLOps.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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            <title><![CDATA[ The Ultimate Ubuntu Handbook : A complete guide to Ubuntu 24.04, from installation to advanced security and development ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978333</link>
            <description><![CDATA[
            Auteur : Vandine, Ken<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978333"><img src="https://static.cyberlibris.com/books_upload/300pix/9781835468876.jpg" /></a></p>
            <p><p><b>Build your Ubuntu 24.04 skills with hands-on guidance from an Ubuntu Core developer, covering desktop usage, security best practices, containers, and development environment setup</b></p><h4>Key Features</h4><ul><li>Master Ubuntu 24.04 through a structured learning path, from initial setup and customization to advanced development workflows</li><li>Avoid common mistakes with practical tips for ensuring stability, security, and clean configuration</li><li>Learn directly from an Ubuntu Core developer as he shares his insider knowledge and best practices</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>Ubuntu 24.04 brings powerful new features, but most users barely scratch the surface of its potential. This book transforms you from a basic user into an Ubuntu power user by guiding you through setup, security, and development workflows step by step. Ken VanDine reveals insider knowledge and proven strategies that turn Ubuntu into a stable, secure, and productive development platform.
Starting with Ubuntu’s mission, release lifecycles, and what’s new in 24.04, you’ll learn how to install the system, customize your desktop, and use the command line to work more efficiently. The book shows you how to apply updates, activate Ubuntu Pro, configure firewalls, and secure data with full disk encryption before covering topics often overlooked by desktop users. Moving into advanced territory, this book covers container-based development using LXD, working with virtual machines through Multipass, and setting up Kubernetes with MicroK8s. Whether you’re building cloud-native apps or data science projects, you’ll benefit from reliable and repeatable Ubuntu workflows. 
Beyond the technical skills, you'll discover how to tap into Ubuntu's global community for ongoing support and opportunities to contribute. This book is ideal for both newcomers eager to accelerate their Linux journey and seasoned professionals seeking to maximize their Ubuntu expertise.<h4>What you will learn</h4><ul><li>Understand Ubuntu's software lifecycles to keep your system updated and secure</li><li>Connect with Ubuntu communities to seek help and contribute to the ecosystem</li><li>Master the command line to improve flexibility and efficiency</li><li>Configure firewalls to manage network traffic securely</li><li>Protect your data with full disk encryption for comprehensive security</li><li>Differentiate between Snap and Debian packages to make informed software installation choices</li><li>Build and manage containerized environments with Ubuntu</li></ul><h4>Who this book is for</h4><p>This book is for software engineers, DevOps professionals, data scientists, systems administrators, and tech enthusiasts who want to get hands-on with Ubuntu 24.04. Whether you're new to Linux or looking to improve your setup, this book shows you how to build a secure desktop, use the command line with confidence, and create clean, reliable development environments. A basic understanding of operating systems is helpful but not required.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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                <item>
            <title><![CDATA[ Learn Model Context Protocol with Python : Build agentic systems in Python with the new standard for AI capabilities ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978335</link>
            <description><![CDATA[
            Auteur : Noring, Christoffer<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978335"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806103225.jpg" /></a></p>
            <p><p><b>Get to grips with the Model Context Protocol (MCP) and learn how to build scalable, intelligent web applications with AI-ready architecture in Python</b></p><h4>Key Features</h4><ul><li>The only resource you'll need to build, test, and deploy MCP servers and clients</li><li>Take a modern approach toward building, testing, and securing distributed agentic AI apps</li><li>Get clear, professional guidance on developing for both LLM and non-LLM clients</li><li>Purchase of the print or Kindle book includes a free PDF eBook</li></ul><h4>Book Description</h4>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.<h4>What you will learn</h4><ul><li>Understand the MCP protocol and its core components</li><li>Build MCP servers that expose tools and resources to a variety of clients</li><li>Test and debug servers using the interactive inspector tools</li><li>Consume servers using Claude Desktop and Visual Studio Code Agents</li><li>Secure MCP apps, as well as managing and mitigating common threats</li><li>Build and deploy MCP apps using cloud-based strategies</li></ul><h4>Who this book is for</h4><p>This book is ideal for web developers, software architects, AI practitioners, and tech leads looking to build scalable AI-integrated applications using MCP. Product managers overseeing AI initiatives will also find this book valuable. A basic understanding of web development and AI concepts is needed to make the most of this book.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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                <item>
            <title><![CDATA[ Programming Excel with Office Scripts : Straight to the Point ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88975720</link>
            <description><![CDATA[
            Auteur : Books, Mrexcel&#039;S Holy Macro!<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88975720"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806670840.jpg" /></a></p>
            <p><p><b>Learn to automate Excel with Office Scripts and Power Automate using TypeScript to streamline workflows, manage data programmatically, and integrate modern scripting with Microsoft 365 for efficient business productivity.</b></p><h4>Key Features</h4><ul><li>Comprehensive guide to Excel automation using Office Scripts, TypeScript, and Power Automate</li><li>Step-by-step coverage of scripting logic, data handling, and integration with Microsoft 365 tools</li><li>Practical coding examples that simplify complex Excel tasks for real-world business applications</li></ul><h4>Book Description</h4>This book guides readers through the fundamentals of automating Excel using Office Scripts, TypeScript, and Power Automate. It starts by introducing scripting basics and gradually explores how to manipulate Excel data, tables, and charts programmatically. The progression from core coding concepts to applied automation ensures clarity for those new to scripting.
Readers will gain confidence in building scripts that handle repetitive Excel tasks, automate workflows through Power Automate, and apply programming logic to optimize efficiency. Each chapter introduces practical examples and progressively builds toward creating complete automation pipelines that connect data manipulation, visualization, and workflow execution.
By the end, readers will be equipped to design intelligent automation routines that blend Excel’s familiar interface with the flexibility of TypeScript, enabling smarter, faster, and more efficient business operations across the Microsoft 365 environment.<h4>What you will learn</h4><ul><li>Automate Excel tasks efficiently using Office Scripts and flows</li><li>Build reusable TypeScript functions for Excel data automation</li><li>Manipulate ranges, tables, and charts through dynamic scripts</li><li>Integrate Excel automations seamlessly with Power Automate</li><li>Create visual dashboards and reports using script-driven charts</li><li>Enhance productivity with advanced scripting and data handling</li></ul><h4>Who this book is for</h4><p>This book is ideal for Excel users, data professionals, and automation enthusiasts who want to integrate scripting into their workflow. Readers should have a working knowledge of Excel and basic programming familiarity. A general understanding of JavaScript or TypeScript will help but is not mandatory.</p></p>
            ]]></description>
            <pubDate>2026-03-11T08:00:02.563</pubDate>
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                <item>
            <title><![CDATA[ Web Development with HTML, CSS, and JavaScript : Create dynamic, responsive websites with ease using HTML, CSS, and JavaScript (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978022</link>
            <description><![CDATA[
            Auteur : Wilson, Kevin<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978022"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365896909.jpg" /></a></p>
            <p><b>Description</b><br>
Web development is the foundation of every digital experience, and mastering it requires a deep understanding of the core technologies: HTML for content structure, CSS for stunning presentation, and JavaScript for dynamic behavior. This comprehensive guide is designed as your complete roadmap to becoming proficient in the essential language of the modern web.<br><br>

It takes you from zero setup to deploying a fully responsive website. You will begin with an introduction to HTML to structure web pages, followed by styling techniques using CSS to create visually engaging websites. As you progress, you will learn JavaScript to add interactivity and dynamic functionality to your websites. Through practical examples, project-based learning, and hands-on exercises, this book covers everything from basic HTML elements and CSS layouts to advanced JavaScript concepts like DOM manipulation, events, and AJAX. You will also explore responsive design techniques, best practices for cross-browser compatibility, and debugging.<br><br>

By the end of this book, you will have the confidence to create professional-grade websites from scratch and understand the underlying principles of web development that can be applied to any modern framework or content management system. 
<p></p>

<b>What you will learn</b><br/>
? Understand core web technologies and how browsers render content.<br>
? Set up a professional workflow using VS Code and Node.js.<br>
? Structure web content using semantic HTML elements and attributes.<br>
? Build functional forms to collect and validate user input.<br>
? Design layouts using the CSS box model and flexbox.<br>
? Implement responsive design techniques for various mobile screen sizes.<br>
? Use JavaScript to manipulate the DOM and handle events.
<p></p>

<b>Who this book is for</b><br>
This book is for aspiring web developers, students, and designers who are new to coding and possess no prior knowledge of HTML, CSS, or JavaScript. It serves as an accessible starting point for mastering core front-end technologies.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Web Development<br>
2. Setting up the Development Environment<br>
3. Creating Your First Web Page<br>
4. HTML Elements and Attributes<br>
5. Images, Video, and Audio<br>
6. HTML Forms: Collecting User Input<br>
7. Introduction to CSS<br>
8. CSS for Layouts<br>
9. Responsive Design with CSS<br>
10. Styling Forms and Buttons with CSS<br>
11. Introduction to JavaScript<br>
12. Working with the DOM<br>
13. Building a Responsive Website from Scratch

</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ Windows Server 2025 Cookbook : Master hybrid cloud administration and Azure Arc hotpatching with over 90 real-world Windows Server 2025 recipes (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978023</link>
            <description><![CDATA[
            Auteur : Sadovic, Nedim<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978023"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365897647.jpg" /></a></p>
            <p><b>Description</b><br>
Windows Server remains the backbone of enterprise IT infrastructure. With the 2025 release, it introduces powerful hybrid capabilities, enhanced security, and seamless Azure integration, making it essential for modern system administrators and cloud engineers.<br><br>

Through over 90 recipes, you explore installation, identity management, virtualization, networking, backup, and containerization. Each chapter delivers hands-on walkthroughs, troubleshooting tips, and real-world scenarios drawn from experience in this field. The cookbook moves through management with Windows Admin Center, Active Directory identity, and Group Policy objects. You will master storage using iSCSI, networking via DNS/DHCP, and Hyper-V virtualization. The journey continues into remote access VPNs, backup recovery, and Certification Authority roles for better security. Finally, you will connect hybrid environments with Azure AD, deploy containers using Kubernetes or Docker, and monitor system health using Reliability Monitor.<br><br>

By the end of this book, you will confidently deploy, manage, and secure Windows Server 2025 environments, on-premises, hybrid, and cloud-native. You will be equipped with the skills to lead infrastructure modernization and be ready for the future.
<p></p>

<b>What you will learn</b><br/>
? Install and configure Windows Server 2025 and manage server environments.<br>
? Install Certification Authority PKI and hybrid Azure AD Connect synchronization.<br>
? Monitor performance and reliability, and implement backup and redundancy.<br>
? Secure DNS infrastructure and automate IP addressing via DHCP roles.<br>
? Track system reliability using Event Viewer and Windows Admin Center tools.
<p></p>

<b>Who this book is for</b><br>
This book is for system administrators, cloud engineers, IT trainers, and technical consultants seeking hands-on mastery of Windows Server 2025 in hybrid and enterprise environments.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Windows Server<br>
2. New Features of Windows Server 2025<br>
3. Installing Windows Server 2025<br>
4. Configuring Roles and Features in Windows Server 2025<br>
5. Windows Server Administration<br>
6. Identity<br>
7. Group Policy<br>
8. File Services in Windows Server 2025<br>
9. Networking with DNS and DHCP<br>
10. Hyper-V on Windows Server 2025<br>
11. Efficient Remote Connectivity<br>
12. Redundancy and Backup<br>
13. Certification Authority<br>
14. Connect and Manage Through Azure<br>
15. Kubernetes on Windows Server 2025<br>
16. Docker on Windows Server 2025<br>
17. Monitoring in Windows Server 2025
</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ Practical Approach to Agentic AI : From theory to real-world applications in agentic AI (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978024</link>
            <description><![CDATA[
            Auteur : Kamath, Shweta<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978024"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365891898.jpg" /></a></p>
            <p><b>Description</b><br>
Agentic AI is rapidly emerging as the next frontier in artificial intelligence, enabling systems to act autonomously, adapt in real time, and make goal-driven decisions. In today’s fast-evolving digital landscape, this technology is reshaping industries by powering intelligent workflows, enhancing efficiency, and unlocking new opportunities for innovation.<br><br>

This book provides a structured journey from foundational concepts to advanced implementation. It begins with the evolution of AI and the defining principles of agentic systems, then explores agent properties such as memory, personas, and lifecycle management. Readers will gain insights into enabling technologies like LLMs and reinforcement learning, followed by architectural patterns for building scalable agents. The chapters provide hands-on evaluations of frameworks like AutoGen, CrewAI, and LangGraph, alongside strategies for data governance and industry-specific use cases in finance and healthcare, such as fraud detection, healthcare personalization, and supply chain optimization. Through a delivery bot case study, you will master implementation, scaling, and AgentOps. Finally, we cover production readiness using containerization and LLM-as-a-judge evaluation to prepare you for the path to AGI.<br><br>

By the end of this book, you will be competent in designing, securing, and deploying professional AI agents. You will possess the practical skills to transition from concept to production, ready to lead innovation in the agentic age. 
<p></p>

<b>What you will learn</b><br/>
? Understand core principles that define modern agentic AI systems.<br>
? Learn step-by-step methods for designing enterprise agent workflows.<br>
? Discover data foundations needed to enable reliable autonomous agents.<br>
? Explore architecture patterns for scalable multi-agent applications.<br>
? Build practical skills to prototype, test, and deploy AI agents.<br>
? Apply observability and monitoring principles for auditing agent behavior.<br>
? Identify real industry use cases and implementation best practices.
<p></p>

<b>Who this book is for</b><br>
This book is for technology leaders, architects, and developers who possess a solid foundation in Python and basic AI concepts. It serves product teams and practitioners needing professional guidance to design, scale, and responsibly deploy autonomous multi-agent systems.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Agentic AI<br>
2. Essential Concepts of Agentic AI<br>
3. Core Technologies Enabling Agentic AI<br>
4. Agentic AI Architecture<br>
5. Data Management for Agentic AI<br>
6. Frameworks for Agentic AI-Part 1<br>
7. Frameworks for Agentic AI-Part 2<br>
8. Value Add with Agentic AI<br>
9. Practical Example: Case Study<br>
10. Implementation Approach to Agentic AI<br>
11. Productionizing Agentic AI<br>
12. Future of Agentic AI<br>
Glossary<br>
Bibliography<br>
Further Readings
</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ Build Your Own AI Assistant : A step-by-step guide to custom GPT with OpenAI for everyday users (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978025</link>
            <description><![CDATA[
            Auteur : Li Zhang, Alina<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978025"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365893526.jpg" /></a></p>
            <p><b>Description</b><br>
We live in a moment where every person, regardless of background, has the chance to shape the technology that shapes our lives. AI now gives everyday people the ability to extend their influence, solve problems faster, and build tools that reflect their goals and values. It gives the opportunity to design intelligence that works with you has never been more accessible.<br><br>

This book provides a clear and structured path to building custom GPT using OpenAI’s platform. Each chapter offers practical, step-by-step instruction, including how GPT function, how to build your first assistant, add your own knowledge, enable real-world actions, and apply responsible AI principles. The approach is simple enough for beginners yet detailed enough to support real workplace impact across roles and industries. As you go through the book, you will have the technical knowledge of advanced prompting and the awareness of responsible AI to confidently build and manage dynamic, real-world AI solutions.<br><br>

By the end, you will gain the skills to design GPT that streamline your workflow, multiply your productivity, and strengthen your ability to lead in an AI-driven world. This book invites you to step forward with confidence and start building AI that helps you lead, innovate, and thrive.
<p></p>

<b>What you will learn</b><br/>
? Understand GPT fundamentals and explore practical real-world use cases.<br>
? Build your first custom GPT using simple, guided steps.<br>
? Apply the Pentagram Framework for structured and consistent prompting.<br>
? Use Few-Shot learning to guide AI behavior more reliably.<br>
? Apply chain of thought strategies for clearer reasoning and explanations.<br>
? Use RAG techniques to ground responses in trusted information.<br>
? Enable real-world actions through OpenAI tools and integrations.<br>
? Apply responsible AI practices to build safe, aligned systems.
<p></p>

<b>Who this book is for</b><br>
This book is for anyone curious about how AI can amplify their abilities, including professionals, educators, creators, managers, and entrepreneurs who want practical ways to use GPT in their work. It is especially for people who want to build their own AI assistants with no coding required to begin the process.
<p></p>

<b>Table of Contents</b><br>
1. Building with OpenAI GPTs<br>
2. GPT Use Cases and Examples<br>
3. Build Your First GPT in Minutes<br>
4. Pentagram Framework for Effective Prompt Engineering<br>
5. Build RAG-Enhanced GPT for Customer Service<br>
6. Build a Chain-of-Thought Stock Insight GPT<br>
7. Few-Shot Learning for a Receipt Processing GPT<br>
8. GPT Actions and API Integration<br>
9. Mitigating Prompt Injection and Jailbreak Attacks<br>
10. Grounding for Responsible AI

</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ Cybersecurity and Ethics : Understand cybersecurity through an ethical lens—identify threats, defend systems, and navigate the law (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978026</link>
            <description><![CDATA[
            Auteur : V. Rallapalli, Murthy<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978026"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365893151.jpg" /></a></p>
            <p><b>Description</b><br>
As digital services move to cloud, mobile, and online platforms, cybersecurity and cyber law have become inseparable. Technical controls reduce risk, while legal and ethical frameworks define what is acceptable, accountable, and defensible when incidents occur.<br><br>

This book starts with computing, networks, and cyber ethics, then builds core security concepts such as threats, vulnerabilities, and cryptography. It explains common cybercrimes and attack patterns, and related governance mechanisms, and walks through investigation, digital evidence, and forensic methods. Later chapters cover electronic records and e-governance, intellectual property in cyberspace, e-commerce law and consumer protection, international cyber law (including treaties and cross-border issues), and, finally human rights topics such as privacy, surveillance, speech, and access.<br><br>

By the end, readers will navigate cybersecurity with ethical insight, recognizing risks, understanding compliance, and applying sound legal and ethical reasoning in practice.
<p></p>

<b>What you will learn</b><br/>
? Ethical foundations of security goals, threats, vulnerabilities, and attack vectors.<br>
? Responsible use of cryptography, authentication, and access control.<br>
? Ethical analysis of cybercrimes, including malware, hacking, phishing, and online fraud.<br>
? Legal and ethical responsibilities under the India IT Act, including e-records, digital signatures, and key authorities.<br>
? Ethical handling of digital evidence and principled approaches to forensic investigations.
<p></p>

<b>Who this book is for</b><br>
This book serves undergraduate and graduate learners and early-career professionals looking to understand cybersecurity and cyber law through an ethical framework. It also supports SOC analysts, compliance professionals, auditors, investigators, and legal-tech practitioners engaged in ethically managing digital evidence, privacy, e-commerce, and incident response.
<p></p>

<b>Table of Contents</b><br>
1. Foundations of Computing in Technology, Networks, and Ethics<br>
2. Cybersecurity Fundamentals<br>
3. Cyber Ethics and Professional Issues<br>
4. Cyber Threats and Crimes<br>
5. Cyber Law in India<br>
6. Cybercrime Investigation and Forensics<br>
7. Electronic Records and Governance<br>
8. Intellectual Property in Cyberspace<br>
9. E-commerce Law<br>
10. International Cyber Law<br>
11. Human Rights in Cyberspace
</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
        </item>
                <item>
            <title><![CDATA[ Prompt-Driven Development Handbook : Structure your vibe coding journey with systematic AI-assisted development (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978027</link>
            <description><![CDATA[
            Auteur : Venkatesan Nagarajan, Prasanna<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978027"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365892932.jpg" /></a></p>
            <p><b>Description</b><br>
AI coding assistants like GitHub Copilot, Cursor, and Claude Code are transforming how developers write software. Understanding how to collaborate strategically with AI has become an essential skill for developers who want to remain productive and competitive in the modern software industry. This book provides a clear roadmap to navigate this revolution, moving you from a solo programmer to a high-level AI collaborator who can build complex systems faster than ever.<br><br>

This book teaches you practical techniques for working with AI coding tools throughout the entire development lifecycle. You will learn the fundamentals of prompt engineering and how to maintain context with AI assistants to get better code suggestions. The book covers setting up your AI development environment, designing software architecture with AI support, generating and reviewing code collaboratively, and debugging efficiently. You will explore advanced patterns, including multi-agent workflows, autonomous development with agent mode, and the Model Context Protocol for complex projects. Real-world case studies demonstrate how to build complete applications using AI assistance while maintaining quality and control.<br><br>

By the end of this book, you will know how to structure your AI collaboration for maximum productivity and code quality. You will understand when to rely on AI suggestions and when human expertise is critical. These practical skills will help you build software faster, maintain higher standards, and adapt to the evolving role of developers in an AI-assisted world.
<p></p>

<b>What you will learn</b><br/>
? Master prompt engineering techniques for better AI code generation.<br>
? Decide when to use AI tools and when not to.<br>
? Choose the right AI tool for specific development tasks.<br>
? Build complete applications using AI-assisted development workflows.<br>
? Review and improve quality of AI-generated code effectively.<br>
? Implement advanced patterns including agent mode and multi-agent systems.<br>
? Apply enterprise patterns and approaches for larger development teams.<br>
? Analyze LLM capabilities to recognize language strengths and ethical boundaries.<br>
? Resolve complex logic errors using automated detection and tracing techniques.
<p></p>

<b>Who this book is for</b><br>
This book is for software developers, engineering managers, tech leads, and students seeking AI integration. It also suits non-programmers using coding assistants. Readers should have basic computer literacy and a conceptual understanding of software logic to maximize these collaborative workflows.
<p></p>

<b>Table of Contents</b><br>
1. AI-human Coding Revolution<br>
2. Understanding AI Coding Capabilities<br>
3. Setting Up Your AI Development Environment<br>
4. Art of Effective Prompt Engineering<br>
5. Context Engineering Principles<br>
6. AI-assisted Design and Architecture Decisions<br>
7. Code Generation and Co-creation<br>
8. Quality Assurance for AI-generated Code<br>
9. Collaborative Debugging and Troubleshooting<br>
10. Advanced AI Collaboration Patterns<br>
11. Complex Project Management with AI<br>
12. Human Expertise in the Era of AI
</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ CompTIA CySA+ CS0-003 Exam Guide : A practical, real-world companion for mastering the CySA+ exam (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978028</link>
            <description><![CDATA[
            Auteur : Costa, Flávio<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978028"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365899900.jpg" /></a></p>
            <p><b>Description</b><br>
In the cybersecurity landscape, traditional perimeter-based solutions are no longer enough to combat increasingly sophisticated attacks. The CompTIA Cybersecurity Analyst (CySA+) certification is a globally recognized, vendor-neutral credential that validates an individual's knowledge and skills in the area of cybersecurity analysis and response. The CySA+ certification is designed to equip professionals with the necessary skills to identify and combat cybersecurity threats and vulnerabilities.<br><br>

With the help of this guide, you will learn the essential skills needed to analyze and interpret data to identify vulnerabilities, threats, and risks to an organization's security. You will also learn how to develop and implement effective security policies, procedures, and best practices, as well as understand the legal and ethical implications of cybersecurity incidents. This exam guide features practical case studies and exam tips to help you prepare for the CySA+ exam.<br><br>

By the end of this book, you will be prepared to advance your career as a cybersecurity professional or enhance your IT portfolio with critical cybersecurity skills, making the CompTIA CySA+ Exam Guide the perfect resource to help you achieve your goals.
<p></p>

<b>What you will learn</b><br/>
? Comprehensive coverage of all exam objectives.<br>
? Real-world scenarios and case studies.<br>
? Hands-on exercises that allow you to practice and reinforce the concepts learned in each chapter.<br>
? Exam tips and strategies to help you prepare for the CySA+ certification exam.<br>
? Importance of the CySA+ certification in the cybersecurity landscape and how it can help you advance your career.<br>
? Legal and ethical implications of cybersecurity incidents.
<p></p>

<b>Who this book is for</b><br>
Readers should already be comfortable with core networking and information security fundamentals (for example, at a level similar to CompTIA Security+), so they can focus on developing the data-driven analysis and response skills expected from a modern cybersecurity analyst.
<p></p>

<b>Table of Contents</b><br>
1. System and Network Architecture Concepts<br>
2. Cyber Threat Intelligence and Threat Hunting<br>
3. Indicators of Potentially Malicious Activity<br>
4. Vulnerability Scanning Methods and Concepts<br>
5. Vulnerability Assessment Tools<br>
6. Vulnerability Prioritization<br>
7. Software Vulnerabilities and Mitigation<br>
8. Vulnerability Response, Handling, and Management<br>
9. Cyberattack Frameworks<br>
10. Incident Response<br>
11. Vulnerability Management Reporting and Communication<br>
12. Incident Response Reporting and Communication<br>
13. Practice Exam I<br>
14. Practice Exam II

</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ Mastering DevOps and Site Reliability Engineering : Building reliable, scalable, and secure systems with SRE and DevOps (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978029</link>
            <description><![CDATA[
            Auteur : Gupta, Ashish<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978029"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365890228.jpg" /></a></p>
            <p><b>Description</b><br>
DevOps and SRE have reshaped how modern engineering teams build and run systems. As modern organizations move away from manual ClickOps, understanding the synergy between DevOps, SRE, and platform engineering is vital for any engineer aiming to build reliable and scalable infrastructure.<br><br>

This book provides a systematic journey through the professional lifecycle of a reliability engineer and draws from real experience rather than theory. It begins by establishing core skills in Kubernetes, IaaC, and networking before exploring the five pillars of SRE. You will learn to implement SLIs and SLOs, manage error budgets, and use chaos engineering for resilience. It also explores the human side of operations, including on-call practices, leadership, and growing your career in this field.<br><br>

By the end of this book, you will have a grounded understanding of how modern infrastructure really works and what it takes to keep it healthy. Whether you are new to SRE or leading a DevOps team, this book gives you the tools, context, and perspective to build systems that last.
<p></p>

<b>What you will learn</b><br/>
? Master core principles of modern DevOps and SRE.<br>
? Automate infrastructure with IaC and GitOps practices.<br>
? Improve system health through observability, metrics, logging, and tracing.<br>
? Design scalable, reliable, and secure cloud-native applications and platforms.<br>
? Optimize cloud costs with effective budgeting, forecasting, and cost controls.<br>
? Advance your career with interview strategies and leadership best practices.
<p></p>

<b>Who this book is for</b><br>
This book is for SREs, DevOps practitioners, developers, administrators, and cloud architects maintaining modern systems. It is also for those looking to step into this field and hoping to build a strong, practical foundation. The book also speaks to managers and technical leaders wanting a clearer view of how things work behind the scenes.
<p></p>

<b>Table of Contents</b><br>
Section I: Introduction<br>
1. Why DevOps and SRE<br>
2. Essential Skills for SRE/DevOps Success<br>
3. Foundational Pillars of SRE/DevOps<br>
Section II: The Core Pillars and Foundational Practices<br>
4. Observability as a Foundational Pillar<br>
5. Scalability and Reliability<br>
6. Security and Compliance<br>
7. Developer Productivity<br>
8. Mastering Cost Management<br>
9. Infrastructure as Code and Automation<br>
Section III: Operational Resilience and Practices<br>
10. Blameless RCA<br>
11. Business Continuity Plan and Disaster Recovery<br>
12. Managing On-call<br>
13. Database Reliability Engineering<br>
Section IV: Career and Leadership<br>
14. Shaping Your Career in SRE/DevOps<br>
15. Nailing SRE/DevOps Interview<br>
16. Building an Effective SRE/DevOps Team<br>
17. Advanced Patterns and Practices<br>
Appendix



</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ Fundamentals of Numerical Methods with MATLAB : An introduction to scientific computing with MATLAB programming (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978030</link>
            <description><![CDATA[
            Auteur : Singh Parmar, Dr. Kulwinder<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978030"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365898705.jpg" /></a></p>
            <p><b>Description</b><br>
MATLAB programming is the premier high-level language used across engineering and science for numerical computation, visualization, and algorithm development. This book leverages the power of MATLAB to bridge the gap between theoretical numerical methods and practical, hands-on applications.<br><br>

In this book, you will explore truncation, rounding, and error propagation. You will gain essential tools for finding roots of nonlinear equations, like Newton-Raphson, and solving linear systems using direct Gauss and iterative Jacobi, Seidel methods. You will also explore the theories such as splines, Lagrange, Simpson's rules, Runge-Kutta, heat, Laplace, and wave equations. By focusing on implementing algorithms, this book ensures you gain the essential programming skills required to solve real-world mathematical problems that defy traditional analytical solutions.<br><br>

By the end of this book, you will be proficient in both theory and practical application of numerical methods, equipped with the programming skills necessary to implement and validate sophisticated algorithms. You will possess the competence to confidently solve real-world eigenvalue problems and complex approximation tasks, preparing you for success in advanced technical fields.
<p></p>

<b>What you will learn</b><br/>
? Analyse numerical errors and understand solution accuracy limits.<br>
? Solve nonlinear equations using iterative numerical techniques.<br>
? Implement MATLAB code to solve linear systems efficiently.<br>
? Apply interpolation methods for curve fitting and data modelling.<br>
? Perform numerical differentiation and integration in MATLAB.<br>
? Solve ODEs and PDEs using reliable computational algorithms.<br>
? Analyze numerical error and propagation in MATLAB.<br>
? Implement Newton-Raphson for nonlinear equations.<br>
? Solve linear systems using Gauss elimination.
<p></p>

<b>Who this book is for</b><br>
This book is for undergraduate and postgraduate students, engineers, and researchers. Readers should have a foundational understanding of calculus, linear algebra, and introductory MATLAB programming to maximize their learning of numerical methods.
<p></p>

<b>Table of Contents</b><br>
1. Accuracy and Errors in Numbers<br>
2. Solution of Nonlinear Equations<br>
3. System of Linear Equations<br>
4. Curve Fitting and Interpolation<br>
5. Numerical Differentiation<br>
6. Numerical Integration<br>
7. Numerical Solution of Ordinary Differential Equations<br>
8. The Algebraic Eigenvalue Problems<br>
9. Numerical Methods Approximation<br>
10. Applications of Partial Differential Equations
</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
        </item>
                <item>
            <title><![CDATA[ Data Engineering with Azure Databricks : Design, build, and scale intelligent data solutions (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978031</link>
            <description><![CDATA[
            Auteur : Pratap Singh, Dharmendra<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978031"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365892857.jpg" /></a></p>
            <p><b>Description</b><br>
As organizations scale, the need for efficient and intelligent data platforms continues to grow. Azure Databricks stands out as a leading platform to deliver scalable data processing, collaborative workflows, and seamless cloud integration. The ability to build scalable pipelines using Apache Spark has become a critical skill for modern data professionals. This book provides a practical and structured journey through the complete data engineering lifecycle using Azure Databricks.<br><br>

It begins with the fundamentals of big data and Spark, then moves into building scalable ETL/ELT pipelines, applying transformations, and enforcing data quality. You will explore architectural patterns in modern data ecosystems and build real-time streaming solutions. Readers will also learn to integrate Databricks with ADF, Power BI, Event Hubs, and other services. The book also covers DevOps and CI/CD using Databricks Asset Bundles.<br><br>

By the end of this book, you will be equipped with the hands-on skills needed to design, build, validate, and manage production-grade data solutions on Azure Databricks. Whether you are a beginner or an experienced professional, you will gain the confidence to engineer robust data solutions that power analytics, AI, and modern data products.
<p></p>

<b>What you will learn</b><br/>
? Understand big data and data engineering concepts.<br>
? Build scalable ETL and ELT pipelines.<br>
? Build real-time streaming solutions with Structured Streaming.<br>
? Apply data quality checks using Great Expectations.<br>
? Implement CI/CD and DevOps with Databricks Asset Bundles.<br>
? Performance tuning of Databricks workloads.
<p></p>

<b>Who this book is for</b><br>
This book is designed for data engineers, data architects, data scientists, and IT professionals working with modern data platforms. It is ideal for practitioners looking to build scalable data pipelines and analytical data products, apply robust data quality practices, and master Azure Databricks for real-world data engineering.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Big Data and Data Analytics<br>
2. The World of Apache Spark and Databricks<br>
3. Setting up Azure and Databricks Environment<br>
4. Overview of Databricks Free Edition<br>
5. Workspaces, Clusters, and Notebooks<br>
6. Data Ingestion and Storage<br>
7. Data Exploration and Transformation<br>
8. Databricks Delta Tables and Spark SQL<br>
9. Data Validation Techniques<br>
10. Data Visualization in Databricks<br>
11. Real-time Data Processing with Structured Streaming<br>
12. DevOps with Databricks<br>
13. Monitoring Databricks Applications<br>
14. Recommendations for Production Applications

</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
        </item>
                <item>
            <title><![CDATA[ VMware Certified Professional - Data Center Virtualization (VCP-DCV) Certification Guide : Master data center virtualization with expert VMware vSphere guidance (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978032</link>
            <description><![CDATA[
            Auteur : Shaw, Dinesh<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978032"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365897340.jpg" /></a></p>
            <p><b>Description</b><br>
Virtualization is the foundation of modern information technology. It helps businesses make the most of their resources, cut costs, and speed up innovation. It is the leader in data center virtualization, making it a vital skill for modern IT professionals.<br><br>

This book is a step-by-step guide to achieving the VMware Certified Professional - Data Center Virtualization certification. Starting with virtualization fundamentals and the vSphere ecosystem, the book progresses through ESXi installation, vCenter deployment, networking, storage, virtual machine management, and cluster configuration. Readers will also explore lifecycle management, best practices, and real-world scenarios. Each chapter combines conceptual learning with hands-on insights, ensuring both exam readiness and practical skills.<br><br>

By the end of this book, readers will be equipped to confidently design, implement, and manage VMware vSphere environments and will gain expertise in VM provisioning, high availability, resource optimization, automation, and security best practices. Above all, readers will be confident enough to get certified for the VCP-DCV certification and be able to apply these skills to advance their careers in the realm of virtualization and cloud infrastructures.
<p></p>

<b>What you will learn</b><br/>
? Understand VMware vSphere’s role in modern virtualization platforms.<br>
? Install and configure ESXi hosts for virtualization infrastructure.<br>
? Deploy and configure vCenter Server appliance for management.<br>
? Create and manage virtual networks with vSphere Standard Switches.<br>
? Implement storage solutions using iSCSI, NFS, and VMFS.<br>
? Deploy, optimize, and manage VMs with templates and snapshots.<br>
? Configure vSphere clusters with HA, DRS, and lifecycle management.
<p></p>

<b>Who this book is for</b><br>
This book targets IT administrators, system engineers, virtualization experts, cloud/DevOps professionals, and data center architects getting ready for the VCP-DCV certification. Students and aspiring IT professionals who want to develop their VMware vSphere skills for career advancement can also benefit from it.
<p></p>

<b>Table of Contents</b><br>
1. Overview and Aim<br>
2. Understanding Virtualization and vSphere<br>
3. Installing and Setting Up ESXi<br>
4. vCenter Deployment and Configuration<br>
5. Networking in vSphere<br>
6. Managing Storage in vSphere<br>
7. Virtual Machine Deployment<br>
8. Virtual Machines Management<br>
9. vSphere Clusters Management<br>
10. Lifecycle Management<br>
11. Virtualization Best Practices<br>
APPENDIX: Mock Exams and Preparation
</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
        </item>
                <item>
            <title><![CDATA[ Data Engineering Best Practices : Architecture tools and techniques for the data analytics lifecycle (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978033</link>
            <description><![CDATA[
            Auteur : F Dos Santos, Luiz Fernando<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978033"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365894615.jpg" /></a></p>
            <p><b>Description</b><br>
Data engineering is the backbone of modern business intelligence, yet navigating the complexities of roles and tools can be challenging for new and experienced professionals alike. However, data engineering sits at the core of modern analytics. As organizations scale their use of data, they need robust architecture, reliable pipelines, and strong governance to turn raw data into trusted insights.<br><br>

This book follows the journey of data from source to insight. It defines the data engineering role, presents reference architectures, and explains how to model, secure, and govern data for analytics. Subsequent chapters cover CI/CD, ETL versus ELT, infrastructure operations, data quality, operations, AI, and supporting processes.<br><br>

By the end of this book, the readers will possess the competency to build, design, and operate end-to-end data platforms, collaborate effectively with analysts and data scientists, and apply repeatable patterns to build secure, scalable, and high-quality data solutions.
<p></p>

<b>What you will learn</b><br/>
? Grasp the core responsibilities of modern data engineers.<br>
? Design practical analytics and data platform architectures.<br>
? Model data for performance, clarity, and governance.<br>
? Secure, test, and automate pipelines with CI/CD.<br>
? Design agnostic models and analyze topologies.<br>
? Apply data operations to analytics, AI, and daily operations.
<p></p>

<b>Who this book is for</b><br>
This book is designed for data engineers, analysts, BI developers, and scientists building analytics platforms and pipelines, and it also guides the professionals responsible for data strategy, governance, and reliable data-driven decisions.
<p></p>

<b>Table of Contents</b><br>
1. Data Engineering's Role<br>
2. Reference Architectures<br>
3. Data Models<br>
4. Permission Management<br>
5. Governance and Cataloguing<br>
6. Continuous Integration and Deployment<br>
7. ETL and ELT<br>
8. Infrastructure Operations<br>
9. Quality Assurance<br>
10. DataOps and AI<br>
11. Additional Processes<br>
12. Popular Technologies</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
        </item>
                <item>
            <title><![CDATA[ Mastering Azure : A comprehensive guide to cloud, data, AI, security, and DevOps for developers, architects, and administrators (English Edition) ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978034</link>
            <description><![CDATA[
            Auteur : Kumar Vejendla, Kiran<br/> 
            Editeur : BPB Publications<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978034"><img src="https://static.cyberlibris.com/books_upload/300pix/9789365892581.jpg" /></a></p>
            <p><b>Description</b><br>
Microsoft Azure is at the core of modern digital transformation, enabling organizations to build scalable, secure, and intelligent cloud, data, and AI solutions. As businesses modernize from on-premises systems to cloud-native and analytics-driven architectures, professionals who can design, implement, and operate Azure workloads are in high demand.<br><br>

This book provides a practical journey through Azure, starting with cloud fundamentals, accounts, governance, networking, compute, and storage. It covers identity and access management, security, monitoring, and cost optimization before moving into data and analytics, databases and big data, integration services, and application services. You will also learn about AI and machine learning, Azure Databricks, DevOps, and governance, concluding with trends like edge, serverless, and hybrid-cloud patterns.<br><br>

By the end of this book, you will be able to design robust architectures, implement secure and compliant data and AI solutions, automate deployments, and optimize performance and cost. You will gain the skills needed to confidently support enterprise workloads, modernize applications and data platforms, and advance your career as an Azure-focused developer, architect, or administrator.
<p></p>

<b>What you will learn</b><br/>
? Understand Azure architecture, regions, subscriptions, and governance models.<br>
? Design secure networks, compute, storage, and data foundations on Azure.<br>
? Implement identity, access, and Zero Trust security for cloud workloads.<br>
? Monitor, troubleshoot, and optimize reliability, performance, and cloud costs.<br>
? Build data, analytics, and big data platforms using Azure services.<br>
? Develop cloud-native, containerized, and serverless applications on Azure.<br>
? Implement CI/CD and IaC with Azure DevOps and GitHub.<br>
? Use Azure AI services to build intelligent, production-ready solutions.
<p></p>

<b>Who this book is for</b><br>
This book is for developers, cloud engineers, system administrators, solution architects, and DevOps professionals who design, build, or operate solutions on Microsoft Azure. It is ideal for beginner to intermediate cloud practitioners who want to advance toward expert-level skills in Azure architecture, security, data, and AI.
<p></p>

<b>Table of Contents</b><br>
1. Introduction to Cloud Computing and Microsoft Azure<br>
2. Getting Started with Azure<br>
3. Networking<br>
4. Advanced Networking<br>
5. Computing<br>
6. Storage<br>
7. Identity and Access Management<br>
8. Securing Azure Environment<br>
9. Monitoring<br>
10. Cost Management<br>
11. Databases and Big Data Solutions<br>
12. Integration Services<br>
13. Application Services<br>
14. AI and Machine Learning Services<br>
15. DevOps and CI/CD<br>
16. Azure Governance and Compliance
</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
        </item>
                <item>
            <title><![CDATA[ Rgpd et droit des données personnelles à l'ère de l'ia Ed. 6 ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978056</link>
            <description><![CDATA[
            Auteur : Mattatia, Fabrice<br/> 
            Editeur : Eyrolles<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978056"><img src="https://static.cyberlibris.com/books_upload/300pix/9782416024412.jpg" /></a></p>
            <p>
          <p>Les acteurs publics et privés doivent anticiper le traitement des données personnelles afin de diminuer leur exposition aux risques&nbsp;: plainte d’un client ou d’un usager, attaque informatique, atteinte à l’image et désormais accusation de concurrence déloyale. Quelles sont leurs obligations vis-à-vis des données émanant de leurs employés ou de leurs clients&nbsp;? Existe-t-il des données dont le traitement est interdit ou encadré&nbsp;? Comment réagir en cas de contrôle de la&nbsp;CNIL&nbsp;ou de vol de données par des pirates&nbsp;? Comment gérer les droits des personnes dont les données nourrissent une&nbsp;IA&nbsp;?</p>
<p>L’ouvrage propose une présentation complète des obligations ainsi que leur mise en œuvre pratique (procédures internes, documentation...), et les sanctions encourues par les entreprises et les organisations en cas de manquement.</p>
<p>Cette 6e&nbsp;édition intègre l’IA&nbsp;et les nouvelles questions qu’elle soulève autour des données d’entraînement, les problèmes liés aux phénomènes de régurgitation ou d’hallucination, etc. Elle présente également les retours d’expérience du cadre juridique mis en place en 2018. L’ouvrage passe en revue les jurisprudences récentes les plus marquantes et les recommandations des autorités (cookies, recours à des prestataires du droit des États-Unis, développement ou utilisation de systèmes d’IA…).</p>
        </p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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                <item>
            <title><![CDATA[ Maîtriser son projet SMSI en 9 étapes : Système de Management de la Sécurité de l'Information et ISO 27001 ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978067</link>
            <description><![CDATA[
            Auteur : Ralle, Christophe<br/> 
            Editeur : Dunod<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978067"><img src="https://static.cyberlibris.com/books_upload/300pix/9782100895045.jpg" /></a></p>
            <p>Compte tenu de la multiplication des attaques informatiques, la <strong>gestion des risques liés à la sécurité de l’information </strong>est un enjeu majeur pour les entreprises et les organisations qui doivent sécuriser efficacement leurs actifs informationnels et leurs processus métier.<br />C’est pourquoi cet ouvrage explique <strong>comment élaborer, mettre en place, exploiter, maintenir et améliorer les ressources d’une organisation pour mener à bien un projet SMSI (Système de Management de la Sécurité de l’Information)</strong>  :<ul><li>Rappel des notions essentielles de la cybersécurité et de l’analyse de risque</li><li>Principes généraux d’un SMSI et de la norme ISO 27001</li><li>La mise en œuvre d’un SMSI selon 8 grandes étapes clés de la mise en place d’un SMSI</li></ul>L’intérêt de la démarche est ici de se concentrer sur comment, concrètement, mettre en œuvre et faire fonctionner un SMSI et ne pas se contenter d’énoncer la norme sans réfléchir aux aspects pratiques.</p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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            <title><![CDATA[ La Petite Boîte à Outils des IA génératives pour créer du contenu : 35 outils clés en main et 3 plans d'action Ed. 2 ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978082</link>
            <description><![CDATA[
            Auteur : Beaujault, Sébastien<br/> 
            Editeur : Dunod<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978082"><img src="https://static.cyberlibris.com/books_upload/300pix/9782100895472.jpg" /></a></p>
            <p><p>Production de contenu de qualit&eacute;, personnalisation &agrave; grande &eacute;chelle, strat&eacute;gies de communication percutantes : les outils d&rsquo;intelligence artificielle sont l&agrave; pour vous simplifier la t&acirc;che. Apprenez &agrave; les ma&icirc;triser et gagnez en efficacit&eacute; !<br /><br />Pour s'en emparer, cette bo&icirc;te &agrave; outils pr&eacute;sente<strong>&nbsp; 36 outils concrets, expliqu&eacute;s simplement, applicables tout de suite :&nbsp; </strong></p>
<ul>
<li>Des fiches simples et op&eacute;rationnelles au quotidien ;</li>
<li>Une pr&eacute;sentation synth&eacute;tique et visuelle pour ma&icirc;triser l&rsquo;essentiel ;&nbsp;</li>
<li>Des conseils, &eacute;tapes de mise en oeuvre et cas pratiques pour approfondir.</li>
</ul>
<p>Ils sont regroup&eacute;s dans<strong>&nbsp; 4 grands th&egrave;mes/dossiers :</strong>&nbsp; <br />1. Les IA g&eacute;n&eacute;ralistes&nbsp; pour&nbsp; la cr&eacute;ation de contenu<br />2. Les IA pour l&rsquo;image, la vid&eacute;o&nbsp; et l&rsquo;audio<br />3. Les IA pour les pr&eacute;sentations&nbsp; et les retranscriptions<br />4. Les autres usages des IA : agent IA,&nbsp; automatisation et vibe coding<br /><br />Avec&nbsp; <strong>des focus sur :</strong></p>
<ul>
<li>Les fonctionnalit&eacute;s et sp&eacute;cificit&eacute;s&nbsp; de chaque IA</li>
<li>Les perspectives induites&nbsp; par les intelligences artificielles</li>
<li>Des guides d&rsquo;utilisation &eacute;tape&nbsp; par &eacute;tape</li>
<li>Des t&eacute;moignages et des plans&nbsp; d&rsquo;action concrets</li>
</ul>
<p><br />Que vous soyez compl&egrave;tement novice ou d&eacute;j&agrave; utilisateur d&rsquo;IA g&eacute;n&eacute;ratives, cette&nbsp; deuxi&egrave;me &eacute;dition vous donnera les cl&eacute;s pour mieux comprendre le potentiel de ces&nbsp; technologies et surtout pour les utiliser de mani&egrave;re cr&eacute;ative.<br />&nbsp;</p></p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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            <title><![CDATA[ Cybersécurité : le kit de survie ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88978120</link>
            <description><![CDATA[
            Auteur : Renouf, Stéphane<br/> 
            Editeur : Ellipses<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88978120"><img src="https://static.cyberlibris.com/books_upload/300pix/9782340113602.jpg" /></a></p>
            <p><p>Ce livre permet de comprendre les bases de la cybersécurité et de reconnaître les principaux dangers du monde numérique en adoptant de <strong>bonnes pratiques au quotidien</strong>.</p><p>Ce livre propose une approche claire, concrète et pédagogique à travers :</p><ul><li>Des <strong>mises en pratiques avec exercices corrigés</strong></li><li>Des zooms sur des <strong>éléments majeurs de cyberculture</strong></li><li>Les <strong>résumés</strong> des points essentiels</li><li>Des <strong>fiches métiers</strong> en lien avec la cybersécurité</li></ul><p>L’objectif est de donner les clés pour naviguer sur Internet en toute confiance, protéger ses proches et participer activement à la sécurité collective. Ce livre est un guide pour s’informer, se former et agir parce que la sécurité numérique est l’affaire de tous.</p><p><em>Stéphane Renouf est professeur agrégé d’Informatique au lycée et en classes préparatoires. Il est également formateur en Bachelor Cybersécurité et doctorant en didactique de l’Informatique à l’université Côte d’Azur.</em></p></p>
            ]]></description>
            <pubDate>2026-02-25T08:00:01.507</pubDate>
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            <title><![CDATA[ Hands-On Automated Testing with Playwright : Create fast, reliable, and scalable tests for modern web apps with Microsoft's automation framework ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88977963</link>
            <description><![CDATA[
            Auteur : Kelhini, Faraz K.<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88977963"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806106462.jpg" /></a></p>
            <p><p><b>Launch bulletproof web applications confidently by writing smarter, faster, and more reliable tests using Playwright with this comprehensive guide.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*</b></p><h4>Key Features</h4><ul><li>Architect resilient test suites using Playwright's advanced APIs</li><li>Optimize performance, parallelism, and debugging for complex apps</li><li>Integrate cross-browser testing into scalable CI/CD workflows</li></ul><h4>Book Description</h4>Hands-On Automated Testing with Playwright draws from Faraz and Butch’s extensive experience to help you harness the full potential of Microsoft's Playwright framework.
The book begins with a quick setup refresher, walking you through intermediate and advanced concepts such as dynamic content handling, accessibility testing, AI-generated test scripts, and parallel test execution. You'll explore real-world applications with end-to-end testing workflows for e-commerce and single-page applications. Alongside traditional topics such as accessibility, mobile, and visual regression testing, this book delves into modern trends such as CI/CD pipelines, DevOps integration, and AI-driven testing enhancements. Each chapter is packed with practical examples, expert techniques, and performance optimization tips, helping you gain a deep understanding of maintainable automation strategies. 
Whether you're transitioning from manual testing or expanding your automation toolbox, this Playwright book provides the skills and confidence to build future-proof testing systems in today's complex web development landscape.
*Email sign-up and proof of purchase required
<h4>What you will learn</h4><ul><li>Set up and configure Playwright for cross-browser testing</li><li>Generate and refine AI-powered test scripts</li><li>Perform mobile, accessibility, and visual regression tests</li><li>Debug with Playwright Inspector and Trace Viewer</li><li>Integrate tests into CI/CD with GitHub Actions</li><li>Use page objects and patterns for maintainable code</li><li>Simulate real-world user flows in complex apps</li><li>Optimize performance and parallelize test execution</li></ul><h4>Who this book is for</h4><p>This book is for two main groups. First, web developers and test automation engineers with up to five years of experience in JavaScript or similar languages. If you have a solid grasp of web development and want to adopt or deepen your use of Playwright, you'll find this book beneficial. Second, QA professionals who have basic scripting knowledge and are ready to transition from manual to automated testing. If you want to upskill using Playwright, this book offers clear, relatable examples that bridge manual testing concepts with automation practices.</p></p>
            ]]></description>
            <pubDate>2026-02-18T08:00:02.160</pubDate>
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            <title><![CDATA[ Sustainable IT Playbook for Technology Leaders : A hands-on guide to designing and scaling sustainable IT strategies for the digital age ]]></title>
            <link>https://univ.scholarvox.com/catalog/book/88977964</link>
            <description><![CDATA[
            Auteur : Sundberg, Niklas<br/> 
            Editeur : Packt Publishing<br/> 
            <p><a href="https://univ.scholarvox.com/catalog/book/88977964"><img src="https://static.cyberlibris.com/books_upload/300pix/9781806105281.jpg" /></a></p>
            <p><p><b>At a time when digital technology intersects with non-negotiable climate responsibility, this updated edition presents modern strategies and tools technology leaders need to build and scale sustainable IT practices for long-term impact</b></p><h4>Key Features</h4><ul><li>Execute an actionable sustainable IT strategy using updated global frameworks and metrics</li><li>Build your credibility as a sustainable IT advocate and stand out among senior IT leaders</li><li>Access new case studies from peers on starting and accelerating IT sustainability journeys</li><li>Download additional tools and resources from the book’s website</li></ul><h4>Book Description</h4>While the climate crisis poses a threat to planetary health, digital transformation continues to reshape our societies. The challenge for technology leaders is no longer understanding why sustainability matters but knowing how to take decisive, responsible action. This book gives you the clarity, confidence, and tools to drive meaningful change.
Updated with the latest trends, case studies, and insights, including responsible and sustainable AI lifecycle governance, it walks you through every stage of developing and implementing a sustainable IT strategy.
The book is structured in three parts. Part 1 explores the “why,” grounding you in the reality of the urgent climate crisis we face today, how we arrived here, the planetary boundaries we must restore, and the broader impact of IT on society. Part 2 covers the “what,” outlining the practical actions you can take to drive meaningful returns on sustainable investments and build a greener future. Part 3 focuses on the “how,” establishing baselines, setting direction, and applying real-world case studies to help you translate intent to impactful global outcomes.
Whether you’re building a sustainability strategy from the ground up or enhancing existing initiatives, this book prepares you to lead the way with confidence and deliver outcomes that matter.<h4>What you will learn</h4><ul><li>Recognize the environmental impact of IT systems and digital infrastructure</li><li>Integrate sustainability into IT governance, procurement, and software delivery</li><li>Apply the latest methods to optimize workloads, reduce emissions, and measure impact</li><li>Establish a science-based carbon emissions baseline for IT operations</li><li>Build sustainability KPIs and dashboards that align with business reporting</li><li>Inspire IT teams, partners, and C-level stakeholders to embrace sustainability</li><li>Navigate current regulations, certifications, and industry frameworks</li></ul><h4>Who this book is for</h4><p>This book is for CIOs, CTOs, CDOs, and senior IT leaders driving sustainable transformation within their organizations. Also essential for sustainability officers, IT strategists, cloud architects, and consultants looking to embed sustainability into digital innovation.</p></p>
            ]]></description>
            <pubDate>2026-02-18T08:00:02.160</pubDate>
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