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How to Set Up Multiple Passive Income Streams to Earn While You Sleep,What if you woke up tomorrow and had money in your bank account from a small amount of work you did once many months or even years ago.Most people get up and go to work, but you dont have to.You get PAID while you sleepInstead of waking up to an alarm clock, you can do what you want, when you want.Thats the power of PASSIVE INCOME.Why You Want Passive Income StreamsPassive income can quickly change your life.Most people spend a majority of their time workingAnd time is limited.Passive income provides you with the FREEDOM in your life to do the things you want to do, when you want to do them.Imagine being able to go on vacation and getting paidAnd the best part is, youre getting paid while you do the things that you want to do.Imagine spending time with the people that you care about the most, and getting paid while youre doing the things that want.Building multiple streams of passive income is the key to living life on YOUR termsThe best part is.ANYONE Can Build A SIX FIGURE, Passive Income.* There are no skills or experience required to get started* You dont need to spend a bunch of money* You can start making money within days of getting started* You can scale things up to a very nice six figure, passive income within just a few short monthsSo, if building passive income streams is so simple, why isnt everyone doing it?ORDER NOW.

Bringing Deep Learning Models to the Edge Efficiently Using ONNX. Key Features Master end-to-end ONNX workflows from framework export models to edge deployment. Hands-on optimization techniques like quantization, pruning and knowledge distillation for real-world edge AI performance. Production-grade case studies across vision, speech, and language models on edge devices. Book Description ONNX has emerged as the de facto standard for deploying portable, framework-agnostic machine learning models across diverse hardware platforms. Ultimate ONNX for Deep Learning Optimization provides a structured, end-to-end guide to the ONNX ecosystem, starting with ONNX fundamentals, model representation, and framework integration. You will learn how to export models from PyTorch, TensorFlow, and Scikit-Learn, inspect and modify ONNX graphs, and leverage ONNX Runtime and ONNX Simplifier for inference optimization. Each chapter builds technical depth, equipping you with the tools required to move models beyond experimentation. The book focuses on performance-critical optimization techniques, including quantization, pruning, and knowledge distillation, followed by practical deployment on edge devices such as Raspberry Pi. Through complete, real-world case studies covering object detection, speech recognition, and compact language models, you can implement custom operators, follow deployment best practices, and understand production constraints. Thus, by the end of this book, you will be capable of designing, optimizing, and deploying efficient ONNX-based AI systems for edge environments. What you will learn Design and understand ONNX models, graphs, operators, and runtimes. Convert and integrate models from PyTorch, TensorFlow, and Scikit-Learn. Optimize inference using graph simplification, quantization, and pruning. Apply knowledge distillation to retain accuracy on constrained devices. Deploy and benchmark ONNX models on Raspberry Pi and edge hardware. Build custom ONNX operators, and extend models beyond standard layers.

Your One-stop Destination to Learn NLP Theory and Build Real-life Use Cases and Projects! Key Features Learn NLP from scratch with exposure to Deep Learning concepts. Build NLP-based projects using the latest frameworks and libraries. Define AI-based use cases from scratch, and build NLP applications. Book Description Natural Language Processing (NLP) is at the core of modern AI, powering everything from chatbots to recommendation systems. Ultimate Natural Language Processing with spaCy and Hugging Face is a practical guide that takes you from essential NLP foundations to advanced transformer models and large language applications, equipping you to build real-world AI projects with confidence. You begin with the fundamentalstokenization, lemmatization, Bag-of-Words, TF-IDF, embeddings, POS tagging, and Named Entity Recognitionand apply them to practical use cases such as sentiment analysis, topic classification, and text classification. The book then moves into Deep Learning for NLP with hands-on coding of CNNs, RNNs, and LSTMs, progressing from theory to applied projects. spaCy is explored in depth, with guidance on building and customizing pipelines for NER, POS tagging, and sentiment analysis. Real-world projects, including extracting dates and events from news articles, ensure that every concept connects to practical applications. The journey concludes with Hugging Face and transformers, where you train and fine-tune models for summarization, classification, and recommendation. Large Language Models (LLMs) such as GPT, Llama, and Claude are introduced alongside efficient training techniques like LoRA and Retrieval-Augmented Generation. By the end, you will gain the confidence to design and deploy responsible AI-powered solutions. What you will learn Understand NLP fundamentals, including embeddings, POS tagging and NER. Implement CNN, RNN and LSTM models for text applications. Create and customize spaCy pipelines for real-world NLP tasks. Train and fine-tune transformer models using Hugging Face tools. Apply large language models to build AI-powered applications. Discover responsible AI, RAG and upcoming NLP practices.

Transform Your Business with Intelligent Automation and Workflows. Key Features Comprehensive step-by-step workflows from basics to enterprise-grade automation. Practical real-world examples and use cases across multiple industrial domains. Expert insights and deep dives into AI Builder, Copilot, APIs, and custom connectors. Book Description Microsoft Power Automate empowers professionals to eliminate repetitive tasks, connect systems, and accelerate productivity through intelligent, no-code workflows that transform how teams operate. Ultimate Microsoft Power Automate for Business Automation guides you step-by-step from foundational knowledge to enterprise-grade automation. You will begin by understanding Power Automates core concepts, interface, and flow types, and then move on to building automated workflows that integrate Microsoft 365, SharePoint, Teams, and third-party applications. As you progress, you will master conditional logic, expressions, error handling, and data operations that make your flows smarter and more resilient. Advanced chapters of this book explore Copilot-driven automation, AI Builder for intelligent document and data processing, and Custom connectors for specialized business scenarios. You will also learn to apply governance, security, and scalability best practices essential for enterprise environments. By the end, you will be well-equipped to design, deploy, and manage impactful automations that save time, reduce errors, and drive digital transformation. Start building smarter workflows todayand let automation work for you! What you will learn Design and build event-driven workflows with triggers, actions, and expressions. Connect Power Automate with Microsoft 365, SharePoint, Teams, and external services seamlessly. Implement error handling, retries, and robust debugging methodologies. Use Copilot and AI Builder for intelligent, document-centric automation. Build custom connectors and integrate APIs for specialized business needs. Enforce governance, DLP, security, and monitoring at enterprise scale.

Practical Tips and Real-World Solutions for Administering Microsoft Intune. Key Features Acquire hands-on expertise in device enrollment and management. Develop robust security and compliance strategies with Intune. Gain insights into application deployment, monitoring, and reporting. Book Description Ultimate Microsoft Intune for Administrators is the resource for mastering Microsoft Intune and its full suite of features. No matter what device platform you manage, whether configuring security settings or optimizing the end-user experience, this comprehensive guide has it all. Explore the comprehensive range of Microsoft Intunes capabilities with practical examples and hands-on strategies. From initial configuration to advanced implementations, this book provides the tools to accelerate your Intune deployment and ensure successful device management. This book delves deep into key topics such as enrollment methods, device configuration profiles, endpoint security, and compliance management. Each section is designed to give you a clear, actionable understanding, enabling you to navigate challenges and make informed decisions with confidence. By the end of this book, you will have a firm, real-world understanding of Microsoft Intune and the expertise to implement, configure, and deploy effectively within your organization. Whether refining your current setup or starting from scratch, you will be ready to take your Intune skills to the next level. What you will learn Enroll and manage devices across Windows, macOS, iOS, and Android. Apply security, compliance, and management policies to devices and users. Provision, configure, and manage Windows-based Cloud PCs efficiently. Deploy, update, and manage applications across multiple device platforms. Monitor device health and generate insightful reports in Intune. Implement effective certificate management for secure authentication. Leverage Microsoft Intune Suite for advanced endpoint management.

Ultimate Microsoft Certified Azure AI Engineer Associate (AI-102) Certification Guide is a comprehensive and practical resource for professionals preparing for the AI-102 certification and building real-world expertise with Microsoft Azure AI services. It combines certification-focused guidance with hands-on engineering practices to help readers master both the exam, and the job role of an Azure AI Engineer. The book covers all major AI-102 domains, including planning and managing Azure AI solutions, implementing generative AI, intelligent agents, computer vision, natural language processing, speech, and knowledge mining. Each chapter aligns with the latest AI-102 skills outline and reflects modern Azure AI capabilities such as Azure AI Foundry, Azure OpenAI, agent frameworks, and Retrieval-Augmented Generation (RAG), ensuring that readers learn skills that are current and industry-relevant. Beyond exam preparation, this guide emphasizes practical implementation and enterprise-ready architectures. Readers will learn how to design, deploy, secure, monitor, and govern AI solutions on Azure using best practices and Responsible AI principles.

From Prototype to Production-Grade LLM Systems. Key Features Get a free one-month digital subscription to www.avaskillshelf.com End-to-end coverage of modern LLMOps, from fundamentals to production deployment and monitoring. Hands-on prompt management, LLM chaining, RAG, and building AI agent examples. Practical insights into LLMOps observability and analytics using LangFuse, Fine-tuning, and securing LLMs in real-world environments. Book Description Large Language Models (LLMs) are transforming how organizations build intelligent applications, yet taking them from experimentation to reliable production systems requires a new disciplineLLMOps. Ultimate LLMOps for LLM Engineering offers a comprehensive journey through the principles, tools, and workflows essential for operationalizing LLMs with confidence and efficiency. It begins by demystifying LLM fundamentals, model behavior, and the evolving landscape of MLOps, giving readers the context needed to design scalable AI systems. The core chapters dive into hands-on techniques that drive real-world LLM applications, including prompt management, LLM chaining, and Retrieval Augmented Generation (RAG). You will explore how to design LLM pipelines, build effective agentic systems, and orchestrate complex multi-step reasoning workflows. Each concept is supported with practical insights applicable across industries and platforms. Moving deeper into production, the book equips you with strategies for deploying, serving, and monitoring LLMs in modern cloud and hybrid environments. You will learn how to fine-tune and adapt models, enforce security and privacy requirements, and detect model drift in dynamic data ecosystems. What you will learn Understand LLM foundations and how they integrate with the MLOps ecosystem. Build robust prompt strategies, LLM chains, and RAG pipelines for complex workflows. Design and deploy AI agents and autonomous LLM-driven systems. Serve, scale, monitor, and evaluate LLMs across cloud and on-prem environments. Apply fine-tuning, optimization, and adaptation techniques to improve model performance. Implement best practices for LLM security, privacy, governance, and drift detection. Who is This Book For? This book is tailored for GenAI Developers, Machine Learning Engineers, and Data Scientists who want to build, deploy, and manage LLM-powered systems at scale. Readers should have foundational knowledge of AI/ML concepts, basic NLP familiarity, and experience with Python programming to fully benefit from the content. Table of Contents 1. Unveiling the World of Large Language Models 2. Getting Started with MLOps 3. Mastering Prompt Management for LLMs 4. The Power of LLM Chaining 5. Retrieval Augmentation Generation 6. AI Agents and Autonomous Systems 7. Deploying Large Language Models 8. Model Monitoring and Evaluation 9. LLM Fine-tuning and Adaptation 10. LLM Security, Privacy, and Drift Detection 11. LLMOps with Langfuse 12. Real-World Examples and Emerging Trends Index

Bridge Virtualization and Cloud-Native with Kubevirt and Openshift. Key Features Deploy and manage VMs in OpenShift, using Kubernetes-native tools. Automate VM provisioning with GitOps and CI/CD pipelines. Secure, monitor, and optimize VMs in hybrid cloud environments. Explore real-world use cases, golden images, and multi-cloud setup. Book Description KubeVirt brings virtualization directly into Kubernetes and OpenShift environments. With KubeVirt, enterprises can run legacy applications alongside microservices on a single, consistent platform, eliminating the inefficiencies of maintaining parallel infrastructures. Ultimate KubeVirt for OpenShift Virtualization is your comprehensive guide to mastering this powerful technology within OpenShift Virtualization. In this book, you will begin by understanding why KubeVirt matters in todays hybrid cloud landscape, and how it fits within the broader Kubernetes ecosystem. From there, the book walks you through environment setup, architecture fundamentals, and hands-on VM management. You will also dive into essential topics like networking, persistent storage, and securityensuring your workloads are production-ready. As you progress, advanced chapters guide you through GitOps automation, performance monitoring, and comparing KubeVirt with tools such as vCluster. Further, you will explore use cases like Golden VM images with the CDI project, hybrid/multi-cloud deployments, and future-focused features such as GPU passthrough and high availability. What you will learn Create and manage VMs inside Kubernetes/OpenShift clusters. Set up networking, storage, and GPU support for virtual machines. Automate virtualization workflows, using GitOps and the CDI project. Integrate and scale VMs across hybrid and multi-cloud platforms. Monitor performance and implement security as well as compliance controls. Compare KubeVirt with alternatives like vCluster for hybrid scenarios.

Reimagine ITSM with AI for Predictive, Proactive, and Impactful Outcomes. Key Features Bridges AI fundamentals with ITIL 4 practices for real-world applications. Explains AIOps, intelligent automation, and predictive analytics in ITSM. Provides governance, risk, and ethics framework for AI adoption in ITSM. Offers a forward-looking view on GenAI, ChatGPT, and next-gen ITSM trends. Book Description Artificial Intelligence (AI) is rapidly reshaping the way IT Service Management (ITSM) delivers value, moving organizations from reactive processes to predictive, intelligent operations. Ultimate ITIL 4 ITSM for AI-Powered Service Management takes you on a practical and progressive journey. It begins with the foundations of AI and ITSM, then simplifies complex concepts like machine learning, natural language processing, and generative AI so that they become directly usable in your role. Step by step, it demonstrates how these technologies can be applied within ITIL 4 practicesfrom incident and problem management to change enablement and the Service Value Systemthrough real-world examples, case studies, and actionable insights. By the end of this journey, you will be able to apply AI to optimize service delivery, predict and prevent disruptions, improve decision-making, and design intelligent service experiences. More importantly, you will gain the confidence and foresight to lead your organization into the future of ITSMsmarter, faster, and ready for the AI-driven enterprise! What you will learn Harness AI to reinvent ITIL 4 practices, and elevate service value. Transform repetitive ITSM tasks into intelligent, self-optimizing workflows. Anticipate incidents with predictive analytics, and prevent service disruptions. Architect AI-driven service desks that deliver seamless, human-like support. Govern AI adoption with frameworks for ethics, trust, and compliance. Craft a strategic roadmap to scale AI-powered ITSM enterprise-wide.

Build high-performance, scalable, and resilient systems using Python and Kafka. Key Features: Learn EDA fundamentals with real-world use case examples. Master Kafka and Python to build event-driven applications. Build secure, testable, and observable EDA-based systems. Step-by-step design and hands-on coding for core EDA parts. Book Description Pythons simplicity and flexibility, combined with Apache Kafkas high-throughput, fault-tolerant messaging system, make them a powerful duo for building scalable, event-driven applications. Ultimate Event-Driven Architecture with Python and Apache Kafka brings together these two technologies to help developers and architects design modern, asynchronous systems capable of handling real-time data at scale. The book begins by introducing the fundamentals of Event-Driven Architecture (EDA), including its core principles, benefits, and real-world relevance. It then explores the essential components of an EDA system, guiding readers through design patterns, message flow, and architectural considerations. Security, testing, and observability are covered in depth to ensure robust and reliable systems. Later chapters dive into Apache Kafka concepts and demonstrate how to build and deploy practical, real-world solutions using Python. Hands-on examples and a complete use case walk-through ensure that readers can confidently apply what theyve learned in production scenarios. Whether youre modernizing legacy systems or architecting from scratch, this book equips you to build event-driven systems that are scalable, resilient, and future-ready. Start your EDA journey with Python and Kafka today! What you will learn: Understand the core principles and components of event-driven architecture. Learn to design scalable systems, using events, not requests. Implement Kafka-based messaging in Python with real code examples. Secure EDA systems with authentication and authorisation practices. Apply debugging, testing, and monitoring strategies for EDA systems. Build a complete event-driven system, using Python and Kafka.

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

Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! Key Features Step-by-step and structured content designed for beginners, intermediates, and experts alike. Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases. Gain insights into implementation strategies through practical, real-world examples. Book Description Azure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether youre just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. Through step-by-step hands-on examples, youll gain practical insights into the power of prompt engineering, advanced features of Azures AI capabilities, and how to implement solutions in language, speech, and vision. Youll also explore ethical AI practices, ensuring responsible and impactful AI development. This book equips you with the skills to navigate the full Generative AI lifecyclefrom development to deploymentensuring your enterprise stays ahead in this fast-paced field. Dont miss your chance to transform your business with Azures revolutionary AI toolsstart building the future today! What you will learn Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques. Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions. Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio. Leverage Azures advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices. Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications.

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

The AWS Certified Cloud Practitioner (CLF-C02) Exam is your gateway to todays cloud-first worldand Ultimate AWS Certified Cloud Practitioner (CLF-C02) Certification Guide (2nd Edition) is your complete roadmap for clearing it with confidence. Whether you are starting from scratch or strengthening your IT foundation, this book prepares you to succeed in the worlds most recognized cloud certification. You begin with a solid grounding in cloud computing fundamentals, and gradually advance into AWS global infrastructure, compute, storage, databases, networking, migration, security, pricing, governance, and application integration. Each chapter simplifies complex topics with illustrations, real-world business examples, hands-on walkthroughs, and structured explanations aligned with the CLF-C02 exam blueprint. Practice questions, exam tips, and review sections help you reinforce learning and identify the weak areas, ensuring that you are always exam-ready!

Impulsionando Negócios com Inteligência Artificial Descubra o potencial transformador da Inteligência Artificial (IA) neste ebook abrangente. Desde os fundamentos até estratégias práticas, exploramos

Las dietas genéricas y las rutinas de gimnasio que no se adaptan a la vida real han llevado a muchas personas a sentir que han fracasado una y otra vez en su intento por ponerse en forma. El problema no esta en ellas, sino en el sistema. Tu entrenador personal es una IA rompe con el espejismo del fitness para todos y entrega el poder de la inteligencia artificial para crear un plan de salud completamente personalizado.Este libro invita a descubrir el arte de la ingenieria de prompts y a aprender a conversar con la IA para que se convierta en nutricionista, entrenador personal y coach motivacional disponible las veinticuatro horas. Es una guia practica y definitiva, llena de prompts listos para copiar y pegar, que enseña a crear un perfil nutricional y de entrenamiento ultrapersonalizado, generar menus semanales deliciosos y economicos usando solo lo que hay en la nevera, y diseñar rutinas de ejercicio efectivas para hacer en casa adaptadas al tiempo, equipo y condicion fisica de cada persona. Tambien aborda como prevenir lesiones con correcciones de tecnica, progresar sin estancarse, mantener la motivacion en los momentos dificiles y hacer un seguimiento real del progreso.Es hora de olvidar las aplicaciones caras y los planes restrictivos. El viaje hacia la mejor version de uno mismo empieza con una simple conversacion, en un nuevo gimnasio y cocina personal donde el unico experto que importa es el propio lector y su mejor aliado es una IA.

En los últimos años, más de 10.000 personas han pasado por los cursos de inteligencia artificial de Pablo Vázquez. Personas con perfiles muy diversos, e inquietudes muy similares: «No sé por dónde em

Troilus and Cressida is a tragedy by William Shakespeare, believed to have been written in 1602. The play (also described as one of Shakespeares problem plays) is not a conventional tragedy, since its protagonist (Troilus) does not die. The play ends instead on a very bleak note with the death of the noble Trojan Hector and destruction of the love between Troilus and Cressida. Throughout the play, the tone lurches wildly between bawdy comedy and tragic gloom, and readers and theatre-goers have frequently found it difficult to understand how one is meant to respond to the characters.

Ao aprender programação, temos diferentes formas de se resolver um problema, segundo métodos e conceitos que podem ser mais ou menos adequados, de acordo como o problema que se tenta resolver. São os

A ideia deste livro foi dar uma pequena familiaridade sobre a Transformada em Ondeletas (TO) a alunos tanto do nível de graduação como pós-graduação. São introduzidos neste livro alguns programas em