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Over the years, Azure cloud  services has been growing at a faster rate, and the number of  organizations adopting Azure for their cloud services is also rapidly  increasing. Leading industry giants are finding Azure to fulfill their  extensive cloud requirements. With the Azure cloud adoption going at a  faster pace, some frustration comes in as well. Public Cloud definitely  makes deploying workloads a lot faster, but it doesn’t always makes  things easier. That’s why you still need to understand the platform  capabilities, and having the knowledge to really design and architect  your future datacenter strategy. And that’s exactly what this course  will teach you. In this module, we highlight one of the most common scenarios in an  Azure adoption project, mainly designing and integrating Azure Virtual  Machine topologies. Just like building out your VM architecture in a  typical on-premises datacenter, this course is logically structured in  that way. Starting from designing Azure Virtual Networking  architectures, both within Azure and for Hybrid scenarios, we move over  to an in-depth view on Azure Virtual Machines. What VM sizes are  available and how to decide which ones to use, how to deploy VMs in a  couple of different ways, as well as how to streamline Azure VM  configurations, are the key objectives of this topic. Next, viewers will learn how to architect high-availability setups for  Azure VM workloads. In the last section of this course, viewers will get  a good understanding of what platform monitoring solutions Azure  provides today, by zooming in on Operations Management Suite, Azure  Monitor and Azure Log Analytics. About the Author Peter De Tender is the CEO  and Lead Technical Trainer at PDTIT , a Microsoft  Cloud Platform Architect, extremely passionate trainer and speaker,  Azure MVP (2013-2018), Microsoft Certified Trainer (MCT) and technical  writer. Starting his career in 1996, Peter has never looked back from  Microsoft infrastructure technologies. At present, he’s an expert on  Azure and Azure Stack, coaching global Microsoft Partners, larger  Microsoft customers and Microsoft FTE teams, all over the world, in  achieving more with Azure. While this got him a position as FTE for  Microsoft Corp in the global Microsoft AzureCAT GSI (Azure Engineering)  team early 2016, his passion for speaking and presenting made him decide  to return to his own company after about a year, coming back with an  even stronger focus on providing readiness workshops and architect  consulting on the Azure platform. When Peter is not speaking or presenting, he authors Azure-related  whitepapers and courses for Microsoft as well as several other training  companies in the IT industry, or updating his own custom Azure Advanced  training material.
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    Microsoft has recently launched BaaS (Blockchain-as-a-Service) for developers to build DApp (Decentralized Applications) quickly. So now rather than setting up your own Blockchain on Azure platform you can just launch the Blockchain with a click. This course will help you understand what is BaaS exactly, how it can help you building decentralized apps faster. We will also talk about different types of servers available in Azure for launching the Blockchain. After this course you will fully understand what BaaS is & why Microsoft has chosen Ethereum platform to setup the Blockchain quickly. This course is the best course for you if you don't want to waste your time & money on other platform & are very comfortable with Azure. Amazon is already working for launching the BaaS & will soon announce it for developers.
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      Hello and welcome to this course. This course will guide you through the process of creating an Azure DevOps pipeline where you can automate your build and release process. This course is for all developers from all levels and even DevOps Engineers. This course can be used for all type of projects and programming languages. The concepts are the same and shared among them. To start, we will create a build. The build is where we tell the CI what we need to do to have a successful release of our code. Using the build file we will examine its different parts and see how we can customize it to have a releasable code where we can ship it to our different environments and see the results directly. The nice thing about Pipelines it takes a lot of headaches concerning releasing code and products to different environments and from a single place we can control it all. For example, let's say that we have three environments and each one has it's unique connection string. With Pipelines, we can define the different configs for the different environments and each time it runs it's automatically changing them so no more worries about have we set the right config for the right place. Also, we can have our releases saved for later on in ace we want to rollback to a certain release or a build. And the nice thing that I l personally like about Pipelines is that we only need to do small actions to have major results and overall control over our builds. This is much easier than doing the old fashion way of having releases done manually or over a dev machine where the environment might change or have issues. Also, if you are a fan of cloud there is a lot of integration available for Azure in the Azure pipelines where you simply need to drag and drop an item to connect to Azure or to do a certain task Also, the course will help you take great advantage of Azure Pipelines in a really quick way! The nice thing about this course that is quite easy to digest and will give you a lot of benefits. So join the course, we are having a party just right now ;)
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        Azure functions can easily run small pieces of code in the cloud without worrying about a whole application or the infrastructure to run it. Logic Apps bring speed and scalability into the enterprise integration space. As businesses move towards digitalization, Logic Apps allows you to connect legacy and cutting-edge systems together. So, if you're looking forward to building scalable systems with Azure or automating business processes in a quick way, then go for this Learning Path. Packt’s Video Learning Path is a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are: ● Use the different languages supported by Azure functions ●      Explore automation business processes in the cloud with Azure logic apps ●      Create your real life apps with logic apps To start off with your learning journey, you will begin with learning the basics of Azure functions and how to create functions such as WebHooks, Azure Connected, and event processing. You will then learn to develop, manage, deploy, and monitor Azure functions in almost any language such as C#, F#, Node.js, Python, PHP, as well as scripting options such as Bash, Batch, and PowerShell. You will also learn to scale functions and use them to process data, integrate systems, and build simple APIs and microservices. Next, you will focus on the core concepts of Azure logic apps and will learn to create and design a logic app environment. You will then learn to build your real-life app with logic apps. Finally, you will go through working and interacting with Azure portal. By the end of this Learning Path, you will be well-versed with the techniques of scaling your Azure functions and making the most of the serverless architecture. You will also become an expert in Logic Apps and create your own apps in no time! Meet Your Expert: We have the best works of the following esteemed authors to ensure that your learning journey is smooth: Paul Oliver is the principal software architect at Vosaic. Before taking on the role at Vosaic, he worked as a software developer and architect in the banking and criminal justice industries. Throughout his career, he's been passionate about building well-architected software solutions with security of primary importance. He has architected several applications in the cloud using Microsoft Azure, Amazon Web Services, and Heroku. Eduardo Freitas deliver, support, and help create world-class software solutions that automate critical business processes, extract and process vasts amount of data, improve efficiency and slash operating costs by thousands. He turns help desks into profit centers and engines that drive sales and marketing. He's an expert in data capture, extraction, big data, and business process automation. Victoria Clark is a financial management consultant with a background in finance projects and systems, especially facilitating workshops and education on new developments and has a great interest in new technologies.
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          This course is designed to instruct students on Azure as it pertains to Virtual Networks, Virtual Machines, and Storage capabilities. Students will understand ARM deployment, including reviewing ARM vs. Classic deployment, the advantages of ARM, and working with ARM deployment methods. Students will learn how to use and deploy ARM templates, including how to deploy VM via templates from Github and how to create a template from resource group. They will review RBAC and ARM Networks, learn how to work with Azure ARM load balancer, and also how to use ARM scale sets. In addition, students will create an automation account, automation assets, and runbooks.
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            This Azure Automation course though is a very small course, it completely covers both conceptual and practical knowledge about Azure Automation Runbooks and DSC. A walkthrough is provided on how to create PowerShell Runbooks and Graphical Runbooks. Also and example is provided on how input parameters can be used for customization.
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              These days it's extremely hard for the non-professional traders to be profitable. Large financial organizations invest millions in data centers and computer algorithms that trades on the market and reacts to changes within milliseconds. However to be profitable for an individual trader no need to be the best trader on the market. It' is good enough to be better than average. Being an IT pro I've noticed that most of the non-professional traders are not aware of the possibilities that competing software giants like Amazon, Google, Microsoft give away to extremely low prices or even for FREE. Cloud computing services is one of them. Sure thing Microsoft Azure wasn't developed for non-professional traders in mind. Azure is complex, it consists of hundreds of services but doesn't be scared we need just a few of them and we are going to use just a small set of those features that we benefit. In this course, I will provide you with simple, step-by-step instructions and you really can apply them just after the lecture. Various tips & tricks will save you time. Don't miss the great opportunity that free tier from Microsoft Azure gives you away today. Every video-lesson has Q&A section and I will be more than happy to help you out if you have difficulties in understanding the lesson or applying it in your account. Looking forward to seeing you as the student!
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                Azure Cognitive Services helps you build smart, secure, and more efficient models for your business needs. Data dependency has gradually increased over the past few years; every business is looking to utilize its available data to create more optimized solutions. Azure Cognitive Services will help you detect, moderate, and classify visual data as per your needs. In this course, you will learn how to configure Cognitive Services and use its vision capabilities to describe, tag, and categorize images; identify clip art as opposed to line art; moderate content; read text and handwriting; and recognize facial characteristics such as age, gender, emotions, hair color and type, and more. You will also learn how to build a facial recognition program that can recognize people in images by comparing them to a library of known individuals. By the end of this course, you will be confident enough to use face, text, image recognition, and image classification to help you build your own business with Azure Cognitive Services. About the Author: Peter Rombouts is a Multi Cloud Solution Architect with a strong focus on the Microsoft Azure platform, supporting enterprise organizations in the Netherlands as consultant, lead developer, and architect. He focuses on architecting and designing maintainable, future-proof, and resilient platforms and systems, leveraging the latest and greatest services on the Azure platform. He has led projects using a variety of cognitive services, from LUIS in Chabot's to the Vision API for the custom tagging and recognition of images in a manufacturing project.
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                  This course shows you step-by-step how to use Azure Building Blocks to deploy your Node .js microservice-based apps to the cloud. You will start with what cloud-native applications are and their benefits. You will also learn about the crucial reasons for developing a Node .js app and deploying it on Azure. Then you will understand different Azure services, highlight Azure building blocks used by Node .js apps, and deploy your Node .js applications on the Azure Cloud platform. Finally, you will monitor and troubleshoot your Node .js applications with Azure App Insights. By the end of the course, you will have mastered building an application in Node .js that's based on microservices, deploying it on the Azure Cloud platform, and monitoring and troubleshooting it with Azure App Insights. About the Author Peter De Tender is the CEO and Lead Technical Trainer at PDTIT and 007FFF Learning, a Microsoft Cloud Platform Architect, an extremely passionate trainer and speaker, Azure MVP (2013-2018), Microsoft Certified Trainer (MCT), and a technical writer. After starting his career in 1996, Peter has never looked back from Microsoft infrastructure technologies. At present, he’s an expert on Azure and Azure Stack, coaching global Microsoft Partners, larger Microsoft customers, and Microsoft FTE teams all over the World so they can achieve more with Azure. While this got him a position as FTE for Microsoft Corp in the global Microsoft AzureCAT GSI (Azure Engineering) team early in 2016, his passion for speaking and presenting made him decide to return to his own company after about a year, coming back with an even stronger focus on providing readiness workshops and architect consulting on the Azure platform. When Peter is not speaking or presenting, he authors Azure-related white papers and courses for Microsoft as well as several other training companies in the IT industry or updates his own custom Azure advanced training material. He recently published Learning Operations Management Suite with Apress, co-authored the Microsoft Official Curriculum for the 70-535 Architecting Azure Solutions, and is currently writing Azure Governance and Security for Apress, as well as authoring a series of advanced Azure training videos for Packt Publishing.
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                    In the past decade, cloud computing has been gaining popularity at a tremendous rate. Some cloud providers are experiencing a growth rate of 50% year over year – which is just astounding. And the reason for this growth is obvious – cloud computing enables ubiquitous, convenient, on-demand access to a shared pool of configurable computing resources which can be rapidly provisioned and released with minimal effort. Microsoft Azure is a cloud computing platform that offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. The Azure Resource Manager , provided by Microsoft Azure , is a versatile service that simplifies how you manage your cloud resources. The Azure Resource Manager can help you define, build and maintain your application in a consistent manner. Within the context of Azure Stack, the Azure Resource Manager is the management layer (API) where you connect to for deploying resources. With Azure Resource Manager ( ARM ) you can deploy, delete, or update all resources for your solution in a single and coordinated operation by using templates. The templates are in the form of JSON format, and these templates can be used for deployment in different environments such as staging, testing, and production. The Resource Manager helps in providing auditing, security, and tagging features to help you manage your resources post-deployment. Although we have the Azure portal for managing the resources but in cases where you need to maintain and deploy multiple servers, in complex configurations - it might get a cumbersome to handle these deployment and configuration activities via the point and click portal. Moreover remembering every resource category and their respective cost evaluation can become a mammoth task. As companies look forward to automating deployment, scaling, and operations of cloud applications in the Azure cloud (across clusters of hosts), there is a need for providing automated deployment solutions for the cloud infrastructure. With Azure ARM Templates , you can define your infrastructure environment in simple JSON file template. These file templates can be versioned, validated and checked into your source control systems. This is what we call Infrastructure-as-code ( IaC ). Do you know what it takes to design and deploy sophisticated cloud applications and manage your complex infrastructure via the use of ARM templates ? How does one go about automating the configuration of the cloud resources in the Azure cloud environment? How to make the deployment process consistent and repeatable? How to scale the infrastructure with a simple push of a button or a simple command? These are some of the fundamental problems Cloud and DevOps engineers struggle with on a daily basis. This course teaches you how to design, deploy, configure and manage your Azure cloud resources with Azure ARM Templates . The course will start with an introduction to the Azure ARM templates and their core features. Then we will dive deeper into designing and deploying our cloud resources with the use of these templates. If you’re serious about building scalable, flexible and robust Azure ARM Templates for deploying your cloud infrastructure, then this course is for you. These DevOps and Cloud Computing skills are in high demand, but there’s no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your Azure cloud projects. Startups and technology companies pay big bucks for experience and skills in these technologies. They demand DevOps and cloud engineers to automate the deployment of their cloud resources  -  and in turn, you can demand top dollar for your abilities. Do you want the skills and be highly sought after? Do you want your career to touch cloud 9? Did you answer, “Absolutely” to that question? If so, then our new training program "Azure Masterclass: Manage your Azure Cloud with ARM Templates" is for you. We have been in the software industry for more than two decades. We’ve been part of many prestigious projects and startups. Over this span, we have gained great insight into what makes for flexible, scalable and robust software and IT solutions. We are passionate about sharing all our collective knowledge with YOU !! In this course, “ Azure Masterclass: Manage your Azure Cloud with ARM Templates” , you will get an in-depth look at how to utilize Azure ARM Templates for designing and deploying your Azure cloud resources in a consistent and repeatable manner. You may be a cloud veteran or an enthusiast - if you invest your time and bring an eagerness to learn, we guarantee you real, actionable education at a fraction of the cost you can demand as a cloud engineer or consultant. We are confident your investment will come back to you many-fold in no time. So, if you're ready to make a change and learn how to build some cool ARM Templates in the cloud, click the "Add to Cart" button below. Look, if you're serious about becoming an expert cloud engineer and generating a significant income for you and your family, it’s time to take action. Imagine getting that promotion which you’ve been promised for the last two presidential terms. Imagine getting chased by recruiters looking for skilled and experienced engineers by companies that are desperately seeking help. We call those good problems to have