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.github/agents/learn-writer.agent.md

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.github/instructions/learn-writer.instructions.md

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learn-pr/achievements.yml

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title: Deploy Azure Databricks models in Azure Machine Learning
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summary: You can use Azure Databricks to train machine learning models, and deploy the trained models in Azure Machine Learning endpoints.
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iconUrl: /training/achievements/deploy-azure-databricks-models-in-azure-machine-learning.svg
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iconUrl: /training/achievements/deploy-azure-databricks-models-in-azure-machine-learning.svg
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- uid: learn.dotnet-maui.consume-rest-services.badge
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type: badge
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title: Consume REST web services in .NET MAUI apps
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summary: Build a .NET Multi-platform App UI (MAUI) application that consumes a REST web service by using HttpClient and performs basic CRUD operations. In the app, you detect when your device is connected to the internet to provide a good user experience and take advantage of the native networking stacks to get top performance.
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iconUrl: /training/achievements/consume-rest-web-services-dotnet-maui-app.svg
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- uid: learn.azure.capture-application-logs-app-service.badge
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type: badge
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title: Capture Web Application Logs with App Service Diagnostics Logging
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summary: Use application logs in Azure Web Apps for debugging web app code.
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iconUrl: /training/achievements/capture-application-logs-app-service.svg
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- uid: learn.azure.publish-app-with-maven-plugin-for-azure-web-apps.badge
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type: badge
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title: Develop Java web app on Azure using Maven
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summary: Use the Maven plugin for Azure App Service to develop a Java web app and deploy the app to Azure.
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iconUrl: /training/achievements/publish-app-with-maven-plugin-for-azure-web-apps.svg
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- uid: learn.azure.publish-azure-web-app-with-azure-toolkit-intellij.badge
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type: badge
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title: Develop Java web app on Azure using IntelliJ
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summary: In this module, you'll learn to create a web app in IntelliJ and deploy the app to Azure by using Azure Toolkit for IntelliJ.
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iconUrl: /training/achievements/publish-a-web-app-to-azure-by-using-azure-toolkit-for-intellij.svg
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- uid: learn.intro-to-azure-data-factory.badge
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type: badge
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title: Introduction to Azure Data Factory
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summary: Microsoft Azure Data Factory is a fully managed, serverless data integration service. It enables you to visually integrate data sources with more than 90 built-in, maintenance-free connectors.
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iconUrl: /training/achievements/intro-to-azure-data-factory.svg
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- uid: learn.azure.intro-to-azure-ml.badge
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type: badge
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title: Introduction to Azure Machine Learning
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summary: Azure Machine Learning provides an environment to create and manage the end-to-end life cycle of Machine Learning models. Azure Machine Learning's compatibility with open-source frameworks and platforms like PyTorch and TensorFlow makes it an effective all-in-one platform for integrating and handling data and models. Azure Machine Learning is designed for all skill levels, with advanced MLOps features and simple no-code model creation and deployment.
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iconUrl: /training/achievements/intro-to-azure-ml.svg
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- uid: learn.azure.route-and-process-data-logic-apps.badge
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type: badge
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title: Route and process data automatically using Azure Logic Apps
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summary: Build an integration workflow using a prebuilt trigger and actions.
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iconUrl: /training/achievements/route-and-process-data-logic-apps.svg
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- uid: learn.azure.ms-learn-live.badge
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type: badge
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title: Migrate an ASP.NET Core application from an on-premises environment into Azure
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summary: You're a senior .NET developer working for a VanArsdel Ltd., a real estate business. VanArsdel has an experienced in-house development team and the technology stack is Microsoft's .NET. Interaction with your customers happens through the website that built with ASP.NET Core MVC and SQL Server and it's hosted on-premises. Management plans to expand the business. The expansion will lead to increased numbers of users hitting the current web application. You conclude the expansion plans require to scale-up hardware to handle increased workload and ensure fast response times. Because of high cost related to these investments, you consider a migration of the solution into the cloud. The positive experience with the Microsoft stack in the past makes you feel comfortable moving to Azure as your cloud provider and you expect a smooth transition. Pushing the application to Azure will help mitigate both, the cost and time factor of upgrading the on-premises solution.
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iconUrl: /training/achievements/generic-badge.svg
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- uid: learn.microservices-architecture.badge
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type: badge
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title: Decompose a Monolithic Application into a Microservices Architecture
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summary: Improve development agility, deployment, fault tolerance, and scalability by modernizing your application with a microservices architecture.
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iconUrl: /training/achievements/microservices-architecture.svg
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- uid: learn.github.train-model-debug-with-responsible-ai-dashboard-azure-machine-learning.badge
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type: badge
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title: Train a model and debug it with Responsible AI dashboard
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summary: Learn how to debug an AI model using the Responsible AI dashboard in Azure Machine Learning studio to ensure it performs responsibly and is less harmful.
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iconUrl: /training/achievements/generic-badge.svg
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- uid: learn.control-authentication-with-apim.badge
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type: badge
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title: Control access to your APIs with Azure API Management
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summary: Discover how to protect your APIs from unauthorized use with API keys and client certificate authentication.
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iconUrl: /training/achievements/control-authentication-with-apim.svg
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type: badge
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title: Improve the performance of an API by adding a caching policy in Azure API Management
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summary: API Management policies are configurable modules that you can add to APIs to change their behaviors.
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- uid: learn.protect-apis-on-api-management.badge
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type: badge
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title: Protect your APIs on Azure API Management
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summary: Use policies in Azure API Management to protect your backend APIs from information exposure and implement throttling to prevent resource exhaustion.
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iconUrl: /training/achievements/protect-apis-on-api-management.svg
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- uid: learn.azdo.host-build-agent.badge
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title: Host your own build agent in Azure Pipelines
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summary: Learn how to use your own build agent when Microsoft-hosted agents don't meet your needs.
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- uid: learn.azure.publish-static-web-app-and-api-dotnet.badge
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type: badge
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title: Publish a Blazor WebAssembly app and .NET API with Azure Static Web Apps
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summary: Automatically deploy and update a Blazor web application and its API from a GitHub repository.
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iconUrl: /training/achievements/publish-static-web-app-and-api-dotnet.svg
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- uid: learn.azure.publish-static-web-app-api-preview-url.badge
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type: badge
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title: Publish an API to Azure Static Web Apps
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summary: Publish an Angular, React, Svelte, or Vue JavaScript app and API with Azure Static Web Apps and Azure Functions. Deploy your code from GitHub to a staging site using preview URLs.
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iconUrl: /training/achievements/publish-static-web-app-api-preview-url.svg
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- uid: learn.machinelearning.understand-classification-machine-learning.badge
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type: badge
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title: Create and understand classification models in machine learning
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summary: Classification means assigning items into categories, or can also be thought of automated decision making. Here we introduce classification models through logistic regression, providing you with a stepping-stone toward more complex and exciting classification methods.
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iconUrl: /training/achievements/machine-learning/understand-classification-machine-learning.svg
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- uid: learn.azdo.deploy-applications-with-azure-devops.trophy
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type: trophy
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title: Deploy applications with Azure DevOps learning path
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summary: Azure DevOps enables you to build, test, and deploy any application to any cloud or on premises. Learn how to configure release pipelines that continuously build, test, and deploy your applications.
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iconUrl: /training/achievements/azure-devops/deploy-applications-with-azure-devops.svg
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- uid: learn.azdo.create-multi-stage-pipeline.badge
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type: badge
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title: Create a Multistage Pipeline by Using Azure Pipelines
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summary: Design and create a realistic release pipeline that promotes changes to various testing and staging environments.
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iconUrl: /training/achievements/azure-devops/create-multi-stage-pipeline.svg
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- uid: learn.azdo.run-functional-tests-azure-pipelines.badge
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type: badge
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title: Run Functional Tests in Azure Pipelines
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summary: Run Selenium UI tests, a form of functional testing, in Azure Pipelines.
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iconUrl: /training/achievements/azure-devops/run-functional-tests-azure-pipelines.svg
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- uid: learn.azdo.run-non-functional-tests-azure-pipelines.badge
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type: badge
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title: Run Non-Functional Tests in Azure Pipelines
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summary: Run automated load tests by using Apache JMeter, a form of nonfunctional testing, in Azure Pipelines.
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iconUrl: /training/achievements/azure-devops/run-non-functional-tests-azure-pipelines.svg
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- uid: learn.azdo.manage-release-cadence.badge
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type: badge
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title: Manage Release Cadence in Azure Pipelines by Using Deployment Patterns
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summary: Choose and implement a deployment pattern that helps you smoothly roll out new application features to your users.
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iconUrl: /training/achievements/azure-devops/manage-release-cadence-using-deployment-patterns.svg
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- uid: learn.azdo.deploy-azure-functions.badge
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type: badge
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title: Automate Azure Functions deployments with Azure Pipelines
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summary: Create an Azure DevOps pipeline that builds and deploys an ASP.NET web app and an Azure Function app to Azure.
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iconUrl: /training/achievements/azure-devops/deploy-azure-functions.svg
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- uid: learn.azdo.deploy-docker.badge
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type: badge
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title: Automate Docker Container Deployments with Azure Pipeline
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summary: Use Azure Pipelines to deploy Docker containers to Azure App Service.
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iconUrl: /training/achievements/azure-devops/deploy-docker.svg
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- uid: learn.azdo.deploy-kubernetes.badge
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type: badge
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title: Automate multi-container Kubernetes deployments with Azure Pipelines
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summary: Deploy multiple containers to an Azure Kubernetes Service cluster with Azure Pipelines.
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iconUrl: /training/achievements/azure-devops/deploy-kubernetes.svg
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