Checkout the Latest Courses and Hands-On Labs from Skill Me UP!
Keep your skills sharp and check out the Live Schedule too.
In this module, you will gain the knowledge and skills to implement continuous feedback. Students will learn how to recommend and design system feedback mechanisms, implement a process for routing system feedback to development teams, and optimize feedback mechanisms.
In this module, you will gain the knowledge and skills to design a DevOps strategy. Students will learn how to plan for transformation, select a project, and create team structures. Students will also learn how to develop quality and security strategies. Planning for migrating and consolidating artifacts and source control will also be covered.
In this module, you will gain the knowledge and skills to implement dependency management. Students will learn how to design a dependency management strategy and manage security and compliance.
In this module, you will gain the knowledge and skills to deploy an application infrastructure in DevOps pipelines. Students will learn how to implement infrastructure as code and configuration management, how to provision Azure infrastructure using common automation tools, and how to deploy an application infrastructure using various Azure services and deployment methodologies. Students will also learn how to integrate 3rd party deployment tools with Azure, such as Chef and Puppet to incorporate compliance and security into the release pipeline.
In this lab, you will use Azure's Update Management solution to manage patches and updates for virtual machines. This involves enabling update management for a VM, assessing the status of updates, configuring alerts, scheduling update deployments, and finally viewing the results of update deployments.
This course provides an overview of cloud concepts and platforms. It also discusses benefits and processes for migrating to the cloud. It will also look at different Microsoft Cloud Services and Microsoft 365 service offerings.
This course will look at the fundamentals of Microsoft 365 including Office 365, Windows 10 and Enterprise Mobility + Security. It will also show a comparison between on-premise solutions and cloud based solutions.
In this lab you will learn to navigate the Azure Machine Learning Workspace and created an experiment using Automated Machine Learning. You will deploy an AML Workspace to a resource group, create compute, create an automated machine learning experiment and evaluate the results. Once complete you will deploy it to a container instance and prepare if for deployment.
In this module, you will gain the knowledge and skills to implement the DevOps practices of continuous integration. Students will learn how to implement continuous integration in an Azure DevOps pipeline, how to manage code quality and security principles, and how to implement a container build strategy.
In this module, you will gain the knowledge and skills to implement continuous delivery. Students will learn how to design a release strategy, set up a release management workflow, and implement an appropriate deployment pattern.
In this module, you will gain the knowledge and skills to implement DevOps processes. Students will learn how to use source control, scale Git for an enterprise, implement and manage build infrastructure, manage application configuration and secrets, and implement a mobile DevOps strategy.
This course provides an overview of what Chef configuration management is, and how you can use it to optimize your server automated configuration process. Starting from an introduction to Chef Software, you will learn about the Chef architecture, how to author recipes and cookbooks, and applying those to your systems.The goal of this course is to share a lot of hands-on experience, allowing you to follow along with the live demos. After going through this course, you will have a good understanding of Chef capabilities, have learned how to deploy your Chef Server and configure your Chef Workstation. You will also have authored 2 cookbook recipes to deploy a Linux Apache Web Server and a Windows Web Server, and validated the configuration updates.
In this hands-on lab, you will use Visual Studio 2019 to create a new web application that uses ASP.NET Core. You will learn the basics of the razor syntax, as well as how to add models and views.
In this hands-on lab, you will use Visual Studio Code to create a new web application that uses ASP.NET Core. You will learn the basics of the razor syntax, as well as how to add models, controllers, and views.
This overview has been developed and targeted specifically towards system administratorsand software developers on a Linux platform, who want to automate the deployment of anapplication (installation, upgrades, configuration files) and/or provision or configurean entire system.
In this lab, you will see how open source tools, such as Terraform, can be leveraged to implement Infrastructure as Code (IaC) and how to automate your infrastructure deployments in the cloud with Terraform and Azure Pipelines.
Azure DevOps supports two types of version control, Git and Team Foundation Version Control (TFVC). Here is a quick overview of the two vesion control systems:Team Foundation Verson Control (TFVC): TFVC is a centralized version control system. Typically, team memvers have only one version of each file on their dev machines. Historical data is maintained only on the server. Branches are path-based and created on the server.Git: Git is a distributed version control system. Git repositories can live locally (such as on a developer's machine). Each developer has a copy of the source repository on their dev machine. Developers can commit each set of changes on their dev machine and perform version control operations such as a history and compare without a network connection.Git is the default version control provider for new projects. You should use Git for version control in your projects unless you have a specific need for centralized version control features in TFVC.In this lab, you will learn how to establish a local Git repository, which can easily be syncronized with a centralized Git repository in Azure DevOps. In addition, you will learn about Git branching and merging support. You will use Visual Studio Code, but the same processess apply for using any Git-compatible client with Azure DevOps.
Application Insights is an extensible Application Performance Management (APM) service for web developers on multiple platforms. You can use it to monitor your live web applications and other services. It automatically detects performance anomalies, includes powerful analytics tools to help you diagnose issues, and helps you continuously improve performance and usability. It works for apps on a wide variety of platforms including .NET, Node.js and Java EE, hosted on-premises, hybrid, or any public cloud. It even integrates with your DevOps process with connection points available in a variety of development tools. It can even monitor and analyze telemetry from mobile apps by integrating with Visual Studio App Center.In this lab, you'll learn about how you can add Application Insights to an existing web application, as well as how to monitor the application via the Azure portal.
In this hands-on lab you will work with the fundamentals of PowerShell. Topics will include checking the PowerShell Version, getting help on commands, managing your profile, and the basics of using PowerShell variables, piping and Cmdlets.
In this hands-on lab, you will learn how to format output using PowerShell.
In this hands-on lab you will work with the PowerShell Integrated Scripting Environment (ISE).
In this hands-on lab, you will learn about using modules to organize your code with PowerShell.
In this hands-on lab, you will learn how to use objects with PowerShell.
In this hands-on lab, you will learn about using PowerShell Providers.
This course covers the basics of working with ASP.NET Core MVC. We begin by learning about what you get out of the box from the Visual Studio template, then dive right into all of the various core components, including views, controllers and routing.Once we have mastered the core components we will discuss some of the more advanced topics such as connecting our web page to a database, how to utilize areas and filters and how to work with Razor syntax.This course will wrap up by looking at some hosting and deployment options, globalization and localization as well as some places where we can use some middleware to make our page more effective.
In this lab, you will learn about the agile planning and portfolio management tools and processes provided by Azure Boards and how they can help you quickly plan, manage, and track work across your entire team. You will explore the product backlog, sprint backlog, and task boards which can be used to track the flow of work during the course of an iteration.
In this lab, you will manage VM Image or the OS Disk of both Windows and Linux. Generally, you may use images available in the marketplace but sometimes the marketplace may not fulfill the organization requirements. In this case, you may have to use own custom VHD which includes uploading VHD from on-premises to cloud or downloading from cloud to on-premises. When an organization wants VM having their LOB (Line of Business Application) installed, you as an Azure Admin need to play with images. It will be more time saving and effective to create images as per the organization needs and use the same image on both cloud and on-premises rather than installing LOB and other configuration in each VM individually. It will give a holistic view of VMs in both on-premises and cloud environment.Note: This lab creates several virtual machines at start time and will take approximately 15 minutes before it is ready.
In this lab, you will learn how to configure continuous integration (CI) and continuous deployment (CD) for your applications using Build and Release in Azure Pipelines. This scriptable CI/CD system is both web-based and cross-platform, while also providing a modern interface for visualizing sophisticated workflows. Although we won't demonstrate all of the cross-platform possibilities in this lab, it is important to point out that you can also build for iOS, Android, Java (using Ant, Maven, or Gradle) and Linux.
In this lab, you will create an Azure Function that monitors a blob container in Azure Storage for new images, and then performs automated analysis of the images using the Microsoft Cognitive Services Computer Vision API. Specifically, The Azure Function will analyze each image that is uploaded to the container for adult or racy content and create a copy of the image in another container. Images that contain adult or racy content will be copied to one container, and images that do not contain adult or racy content will be copied to another. In addition, the scores returned by the Computer Vision API will be stored in blob metadata.
In this lab, you will create an Azure Function that monitors a blob container in Azure Storage for new images, and then performs automated analysis of the images using the Microsoft Cognitive Services. Specifically, the Azure Function will analyze each image that is uploaded to the container for adult or racy content and create a copy of the image in another container. Images that contain adult or racy content will be copied to one container, and images that do not contain adult or racy content will be copied to another. In addition, the scores returned by the Computer Vision API will be stored in blob metadata.
In this lab, you will learn about the release management features available in Azure Pipelines that automate the deployment of applications. These features help development and operations teams integrate with Team Foundation Server to configure and automate complex deployments of their automated builds to target stages more easily. Development teams can also model their release processes and track approvals, sign-offs, and visualize their release status.
This course is an introduction to Microsoft Azure Machine Learning Services. In this course you will learn to navigate the AML Services interface, create notebook servers, create compute clusters, manage AML Services from a notebook, deploy models, and create an Automated Machine Learning experiment.
This course covers designing and implementing a Microsoft 365 tenant. This course starts with creating a new tenant, creating the domain then continue through setting up users and importing your data. It also includes a module on management and monitoring the environment.This course will teach the foundational skills required to begin your journey to completing the Microsoft 365 Identity and Services exam. It is one of the prerequisite requirements for the earning the Microsoft 365 Certified Enterprise Administrator Expert certification.
In this hands-on lab, you will implement many of the Azure Security Center features to secure their cloud-based Azure infrastructure (IaaS) and applications (PaaS). Specifically, you will ensure that any internet exposed resources have been properly secured and any non-required internet access disabled. Additionally, you will implement a “jump machine” for admins with Application Security enabled to prevent admins from installing non-approved software and potentially exposing cloud resources. You will then utilize custom alerts to monitor for TCP/IP Port Scans and then fire alerts and run books based on those attacks.
This course will help you prepare for the exam MS-300: Deploying Microsoft 365 Teamwork by covering the basics of configuring and managing SharePoint Online. This seven-part module will cover topics such as planning and configuring site collections and hub sites, planning and configuring apps, working with managed metadata, planning and configuring guest access, managing user profiles, setting up Information Rights Management, managing search, and monitoring the SharePoint Online service.