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Este curso te presenta IBM Cloud. Aprenderás acerca de las muchas ofertas y servicios de IBM Cloud que la convierten en la nube pública más abierta y segura para desarrolladores y empresas. El curso comienza con una introducción a la plataforma de IBM Cloud que cubre temas como la ubicación de los centros de datos y la configuración de gestión de identidad y acceso. Descubrirás las distintas opciones de Infraestructura como Servicio (IaaS) disponibles en IBM Cloud. Luego, aprenderás sobre las opciones de despliegue en IBM Cloud; esto incluye temas como Contenedores, Kubernetes y OpenShift. Igualmente, te familiarizarás con los servicios de IBM Cloud tales como, Base de Datos, Inteligencia Artificial y Watson, Blockchain, Internet de las Cosas y muchos otros. Además de los videos, también verás demostraciones de las distintas características y servicios de IBM Cloud en acción, así como realizar laboratorios prácticos para ganar experiencia práctica con IBM Cloud sin ningún costo. Este curso es de gran interés para cualquiera que quiera ser un profesional de la nube y usar las habilidades de esta como desarrolladores, arquitectos, ingenieros de sistemas, especialistas en redes y muchos otros roles. El material de igual forma sirve a las necesidades de aquellos que realizan las tareas de asesoría, construcción, traslado y gestión de soluciones de nube. Este curso también es apropiado para los estudiantes que quieran prepararse para la IBM Cloud Foundations Certification.
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    Learn the basics about Microsoft Azure services such as Web Applications, App Services, Cloud Services, Virtual Machines and Databases using the classic and new Azure Portals. Migrate your web apps, services, virtual machines and databases to Azure and the cloud! This increases availability, scalability and can even be cheaper than your current solution! Enroll now, if by the time you finish this course you are not entirely happy with its content, or the way I answered to your questions, you can have your money back! You have a 30 day money back guarantee, no questions asked. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ With this course you will not only fully understand what cloud computing is and how it's classified, you will also learn to host your solutions and applications in Azure. If you have a website or web app, you'll learn to upload it to Azure. Create your own web app from scratch using Azure and Wordpress. If you have a web service, you'll learn to host it in Azure. If you want a Virtual Machine without having to install Virtualization Software, download ISOs, and that are available even if you don't have your computer, you'll learn to create VMs hosted in Azure. If you want a database to connect to your ADO .NET, JDBC, ODBC and/or PHP apps that is hosted in the cloud, you'll learn how to create one. And you'll learn how to manage your services from almost anywhere. By the end of this course you will have the knowledge to host your web sites, web apps, web services, virtual machines and databases in the cloud with Microsoft Azure services. With websites in Azure you can quickly create a website based on a template. With web apps you can quickly deploy your ASP .NET apps or Wordpress sites right from Visual Studio to the cloud. With Cloud Services you can host web services in Azure and scale them to your needs. With Virtual Machines in Azure, you can create a VM with virtually any Operating System, attach disks to it and get the image so you can later create more VMs based on that image. With databases hosted in Azure you can have databases all over the world that are always available. Learn how you can do all that and more with this course! Enroll now and jump to the cloud! Scalable, reliable, always available and non-expensive services for all your needs.
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      This course discusses how environments are managed in Apigee hybrid, and how runtime plane components are secured. You will also learn how to deploy and debug API proxies in Apigee hybrid, and about capacity planning and scaling.
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        Salesforce Commerce Cloud, formerly called Demandware, is a cloud-based service for unifying the way businesses engage with customers over any channel or device. Now a days E-Commerce is growing rapidly. Every merchant or seller wants to do online selling. Salesforce Commerce Cloud is a platform where a large E-Commerce business can be handled very easily. All the cloud services make this very easy for Merchants as well as for Customers. Create Multi regional Online Stores , Easy Product selling , Best order management & customer handling. This Course is dedicated to : - Spread Knowledge of this Cloud base Salesforce product. - Easy tutorials for Merchants so that they can handle Business Manager/ Admin very easily. - Tutorials for beginers as well as Advance developers. - Coding Standards for Backend as well as frontend developers. - Solutions to common issues in Sales force commerce cloud development. Lets spread the knowledge of Salesforce Commerce Cloud . Topics covered in the sessions are as following : Introduction to Salesforce Commerce Cloud Understand Business Manager Connect Salesforce Commerce Cloud Using UXStudio & Eclipse Catalog & Products Campaigns & Promotions Customers Groups Cartridge or File Structure of Salesforce Commerce Cloud Concept of Pipelines At the End of course you will be able to start Administration & Development in Salesforce Commerce Cloud.
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          Cloud Computing has really changed the way companies looking into their digital Infrastructure now a days. Cloud computing with its unique paradigms brings in new opportunities and challenges for developers and administrators worldwide. With our unique curriculum we have tried to create the content which will bring beginners up to speed with Cloud technologies. The Course will start with basic introduction to cloud concepts like SAAS, PAAS and IAAS. You will also learn how Linux systems is changing the Infrastructure landscape worldwide. You will then learn to use popular cloud technologies like Google Compute Engine , Amazon AWS and Redhat open shift. The last unit covers Virtualization Technologies to provide you a holistic understanding of cloud computing environment. This course is surely the fastest and smartest way to get started with Cloud computing technologies.
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            This course provides a holistic experience of optimally configuring SAP on Google Cloud. Participants will learn to configure SAP on Google Cloud, and what best practices are, leaving the course with actionable experience to configure SAP on Google Cloud and run SAP workloads on Google Cloud. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
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              This course introduces participants to the strategies to migrate from a source environment to Google Cloud. Participants are introduced to Google Cloud's fundamental concepts and more in depth topics, like creating virtual machines, configuring networks and managing access and identities. The course then covers the installation and migration process of Migrate for Compute Engine, including special features like test clones and wave migrations.
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                This course provides an introduction to data center networking technologies, more specifically software-defined networking. It covers the history behind SDN, description of networks in data-centers, a concrete data-center network architecture (Microsoft VL2), and traffic engineering.
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                  This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently. This course covers AWS services and frameworks including Amazon Rekognition, Amazon SageMaker, Amazon SageMaker GroundTruth, and Amazon SageMaker Neo, AWS Deep Learning AMIs via Amazon EC2, AWS Deep Learning Containers, and Apache MXNet on AWS. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes. Each week will focus on different aspects of computer vision with GluonCV. In week one, we will present some basic concepts in computer vision, discuss what tasks can be solved with GluonCV and go over the benefits of Apache MXNet. In the second week, we will focus on the AWS services most appropriate to your task. We will use services such as Amazon Rekognition and Amazon SageMaker. We’ll review the differences between AWS Deep Learning AMIs and Deep Learning containers. Finally, there are demonstrations on how to set up each of the services covered in this module. Week three will focus on setting up GluonCV and MXNet. We will look at using pre-trained models for classification, detection and segmentation. During week four and five, we will go over the fundamentals of Gluon, the easy-to-use high-level API for MXNet: understanding when to use different Gluon blocks, how to combine those blocks into complete models, constructing datasets, and writing a complete training loop. In the final week, there will be a final project where you will apply everything you’ve learned in the course so far: select the appropriate pre-trained GluonCV model, apply that model to your dataset and visualize the output of your GluonCV model.
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                    The Developer for Microsoft Azure Nanodegree program prepares students with critical cloud computing skills in how to deploy, build, migrate, and monitor applications on Azure.