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.

A lot of people working in the Information Technology sector are expected to be familiar with a few technologies that are required in the projects you are supposed to work. No matter whether you have a background in development, operations or testing, DevOps has changed the way people used to work. With constant disruptions from the Cloud Computing services, organizations are moving all of their projects directly on the cloud. It doesn't matter whether its hosted on the public, private or hybrid cloud infrastructure, you are still expected to work on two key technologies- Containers and Virtual Machines. In this course you will be learning about Container services on Microsoft Azure cloud platform. You will be learning Containers right from the beginning, so don't worry if you are just moving to Containers. Later in this course, you will learn with some hands-on practical examples and demonstrations on some of the container services on Microsoft Azure. Docker It is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers. Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels. Kubernetes It is an open-source container-orchestration system for automating computer application deployment, scaling, and management. Service Fabric Cluster It is a network-connected set of virtual or physical machines into which your microservices are deployed and managed. AKS (Azure Kubernetes Service) You can create Serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience and enterprise-grade security and governance. Container Instances You can develop apps fast without managing virtual machines or having to learn new tools—it is just your application, in a container, running in the cloud. Container Registry You can Build, store, secure, scan, replicate, and manage container images and artifacts with a fully managed, geo-replicated instance of OCI distribution.

Over 200 videos are included in this bundle! A $400 value! Save 45% by purchasing all nine Azure courses. This bundle includes: Introduction to Azure Deploying Virtual Machines Azure Active Directory Deploying Websites Azure SQL Azure Storage Azure Containers Azure Networking Automation and Log Analytics Last updated May 2018 In the Introduction to Azure course will introduce students to the Cloud, types of Cloud services, Azure services, and Azure PowerShell. The content provides the pre-requisite knowledge required by all individuals who will be learning Microsoft Azure. Students who are administrators, developers, or database administrators will benefit from learning thee fundamentals covered in this course and will be better prepared to take additional Microsoft Azure courses that are generally more advanced. The Deploying Virtual Machines course is designed to instruct students on Azure as it pertains to Virtual Networks, Virtual Machines, and Storage capabilities. Students will learn the components of a virtual network, work with VNETs, learn about UPNs and VPNs, become familiar with IaaS cloud services, review VM deployment and conectivity options, and monitoring of VMs. Students will also review and work with various Azure storage options and functionality. In the Azure Active Directory course, students will gain an understanding of directory service options, use a custom domain, manage users and groups, use multi-factor authentication, work with application access, and add and access applications. Students will learn about using a hybrid Azure Active Directory, extend and deploy AD to the cloud, prepare for synchronization, install Azure AD Connect, and manage directory synchronization. In addition, students will understand ADFS, install AFDS, and convert a domain to Federated. The Deploying Websites course is designed to instruct students on Azure as it pertains to Virtual Networks, Virtual Machines, and Storage capabilities. Students will learn about PaaS Cloud Services, Understand the deployment environment, and create and configure PaaS Cloud Service. Students will work with upgrading Applications, understand communication between roles, understand PaaS to IaaS communication, scaling roles, and work with monitoring and alerts. In the Azure SQL course, students will overview and provision Azure SQL. Students will also connect to Azure SQL DB, Migrate DB to Azure, work with SQL security and metrics, Configure SQL DB auditing, copy and export a database, use DB Self-Service Restore, and Use SQL DB Geo-Replication. The Azure Networking course is designed to instruct students on Azure as it pertains to networking. Students will learn about IP address space and DNS in Azure VNets. In addition, the course will cover creating a VNet, configuring a point to site and site to site VPN, and VNet peering. The Azure Storage course is designed to instruct students on Azure as it pertains to storage. Students will learn about storage accounts and access and using blob storage and file storage. In addition, the course will cover file sync, content delivery network, and backup and recovery. The Azure Containers course is designed to instruct students on Azure as it pertains to Containers. Students will learn about using Docker, deploying containers, and multi-container applications. In addition, the course will cover container registry, clustering options, and installing ACS. The Azure Automation and Log Analytics course is designed to instruct students on Azure as it pertains to automation and log analytics. Students will learn about creating automation accounts and creating runbooks. In addition, the course will cover creating OMS workspaces and using the Azure Security Center. The Office 365 Administrator Course (Exam 70-346) course is designed to give users a tour and understanding of the administrative capabilities in Office 365. In this course, we will cover the Office 365 interface, setting up a trial of Office 365, navigating the Admin Center, adding and managing users, working with groups and collaboration groups, using group administration, and various other topics related to Office 365 administration. Additionally, understanding Azure rights management, deployment of Office 365 Pro Plus, monitoring of Office 365, creating custom domains, Hybrid Active Directory, Exchange administration, managing SharePoint Online, configuring Skype for Business and performing connectivity tests will be covered.

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 ;)

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.