This course is about Azure Site Recovery which is a cloud based disaster recovery solution provided by Microsoft. We will go over on what is Azure Site Recovery, Requirements and the features & pricing model of Site Recovery. Also we will work on a real lab scenario of migrating and failover of a VM from on premises to Azure.

Microsoft Azure is one of the most popular Cloud Computing platforms with wide range of tools and services that are remotely accessible from anywhere in the world. It has never been so easy to integrate almost any kind of application with wide array of technology based cloud services, with massive scalability, elasticity, fault tolerance and cost effective. Currently , Azure is the fastest growing Cloud Computing platform , that is expected to overtake AWS very soon in terms of market share. So, if you are already familiar with AWS or you are just starting with Azure, this course could provide you comprehensive learning (with roughly 18 hours of content) on a large number of cloud services with hands-on practical examples on Microsoft Azure. You will be introduced to Azure in the first few sections, followed by a very detailed learning on various categories such as Storage, Database, Machine Learning, Security, etc. This course will provide you a complete coverage of Microsoft Azure, and you would be in a better position to qualify the skillset required in various Azure Certification exams. At the end of various section in this course, you can test your skills by attempting the Quiz. This way you could get prepared for real life scenarios and certification exams. You would be learning following Services in different categories: 1) STORAGE- BloB, File, Disk, Table, Queue, Data Lake, StorSimple, Archive, Backup. 2) CONTAINER- Docker, Kubernetes, Container Registry, AKS, Container Instance, Service Fabric Cluster 3) NETWORKING- DNS, Traffic Manager, Firewall, ExpressRoute, Virtual WAN, NSG  (Network Security Group), VNet 4) DATABASE- SQL Database, CosmosDB, Data Warehouse 5) MACHINE LEARNING- Computer Vision, Custom Vision, Content Moderator, Translate, Text Analysis 6) CHATBOT- Simple, Web, Facebook, QnA, LUIS 7) ANALYTICS- Stream Analytics, HDInsight, Lake Analytics, Data Explorer, Databricks 8) DEVOPS- Boards, Artifact, Repos, Pipelines, Test Plan, Tool Integration, DevTest Labs, Application Insight, Azure Organisation 9) SECURITY- Security Centre, Azure Active Directory,  VPN Gateway, DDoS Protection, Key Vaults, Dedicated HSM, Application            Gateways, Sentinel, Information Protection 10) MIGRATION- Site Recovery, Database Migration, Migrate, Migration Project, DataBox You would be learning concepts and methodologies with practical exercises. This course consists of multiple Projects on various topics.

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.

Azure virtual machines provide a fully configurable and flexible computing environment. This course will teach you how to perform the most common day-to-day tasks in Azure PowerShell, including: Installing and Configuring PowerShellGet Installing and Configuring the AzureRM PowerShell Module Connecting to Azure with PowerShell Creating Resource Groups with PowerShell Deploying Virtual Machines Using PowerShell Connecting to Virtual Machines Using PowerShell Creating and Attaching Data Disks with PowerShell Locating New VM Images with PowerShell Deploying VMs from Alternate Images Using PowerShell Working with Marketplace Publishers Resizing a Virtual Machine via PowerShell Viewing and Modifying VM States with PowerShell Managing Virtual Machines with PowerShell Deleting VMs and Resource Groups with PowerShell By the end of this course, you will have learned how to perform many day-to-day VM management tasks using PowerShell exclusively.  The skills you learn in this course will set you apart from many other IT professionals - since most IT professionals avoid PowerShell like the plague.

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!

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.

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.

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

Course Introduction Azure Data Lake Storage Gen2 (ADLS) is a cloud-based repository for both structured and unstructured data. For example, you could use it to store everything from documents to images to social media streams. The most effective way to do big data processing on Azure is to store your data in ADLS and then process it using Spark (which is essentially a faster version of Hadoop) on Azure Databricks. In this course, you will follow hands-on examples to import data into ADLS and then securely access it and analyze it using Azure Databricks and Azure HDInsight. You will also learn how to monitor and optimize your Data Lake Storage. Expected Outcomes After this course: You will have a very good understanding of Data lake features and properties You will learn about different tools and scenarios to ingest data into Data Lake. You will learn about Data Lifecycle and Architecture around Data Lake You will be doing end to end demos to ingest, process, and export data using Databricks and HDInsight. You will learn about 5 layers of Data Security and how to configure them using the Azure portal. You will also learn about different tools Azure provides to monitor Data Lake Storage service. And finally, you will learn optimization techniques for Data Lake Storage. Intended Audience Anyone interested in learning Azure Data Lake Storage Service Level Beginners and intermediate level I have a few crash courses (Free) for absolute beginners, you can find links on my website. Prerequisites There is no prerequisite for this course Basic understanding of Data warehouse and Database, in general, will help you understand quickly. Language English If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course. What's inside Video lectures, PPTs, Demo Resources, Quiz, Assignment, other important links Full lifetime access with all future updates Certificate of course completion 30-Day Money-Back Guarantee Some students Feedback One of the most amazing courses i have ever taken on Udemy. Please don't hesitate to take this course. The instructor is really professional and has a great experience about the subject of the course. - Khadija Badary Very nicely explained most of the concepts. a must have course for beginners - Manoranjan Swain I appreciate this course explaining everything in great detail for a beginner. This will assist me in overcoming challenges at my work - Benjamin Curtis Good course for Beginners. Labs are really helpful to grasp the concept. Thank you - Sapna

Developing for Office365 is figuring out Azure AD, and mostly REST queries. The REST queries are the easy part. But a proper understanding of how Azure AD works from a developer’s perspective is the more important part. Whether you are developing for Office 365 or not, as your organization embraces the cloud, a solid understanding of developer concepts in Azure AD is necessary. This course provides hands on explanations of all the AzureAD scenarios you need to know as a developer, followed by tying that knowledge in Office 365 APIs and the Microsoft Graph. Lots of hands on examples and code in this course.