review-4

Author: v-thpra

.openpublishing.redirection.json

@@ -5799,7 +5799,7 @@ achievements:
   type: badge
   title: Generate code with Azure OpenAI Service
   summary: This module shows engineers how to use the Azure OpenAI Service to generate and improve code.
-  iconUrl: /learn/achievements/generic-badge.svgz
+  iconUrl: /learn/achievements/generic-badge.svg
 - uid: learn.azure.cloud-adoption-framework-plan.badge
   type: badge
   title: Prepare for cloud adoption with a data-driven plan
@@ -5815,6 +5815,11 @@ achievements:
   title: Design a hybrid network architecture on Azure
   summary: You have a traditional on-premises infrastructure that you need to connect to resources in Azure. In this module, you learn how to select a connectivity method for your use cases that balances functionality, cost, and security.
   iconUrl: /training/achievements/design-a-hybrid-network-architecture.svg
+- uid: learn.monitor-authentication-methods.badge
+  type: badge
+  title: Monitor and report on authentication methods used in Microsoft Entra ID
+  summary: This module teaches you how to create a Microsoft Entra workbook that helps you to create a report of the authentication methods used in your tenant.
+  iconUrl: /training/achievements/generic-badge.svg
 - uid: learn.student-evangelism.practice-active-listening.badge
   type: badge
   title: Work with others by practicing active listening
@@ -5975,3 +5980,123 @@ achievements:
   title: Classify endangered bird species with Custom Vision
   summary: As an ornithologist, you study the behavior, physiology, and conservation of birds and bird habitat. Your work often involves surveying, recording, and reporting on bird activity. You want to build a machine learning model that will identify a bird in an image by species, to help with gathering data. In this module, you use Azure AI Custom Vision to create a model to identify species of birds!
   iconUrl: /training/achievements/advocates/cv-classify-bird-species.svg
+- uid: learn.orleans-product-introduction.badge
+  type: badge
+  title: Introduction to Orleans
+  summary: Learn what Orleans is and when you might want to use it.
+  iconUrl: /training/achievements/generic-badge.svg
+- uid: learn.intro-to-azure-cache-for-redis.badge
+  type: badge
+  title: Introduction to Azure Cache for Redis
+  summary: Microsoft Azure Cache for Redis brings a critical low-latency and high-throughput data storage solution to modern applications. This solution can help improve the performance and scalability of your apps that rely heavily on backend data stores.
+  iconUrl: /training/achievements/generic-badge.svg
+- uid: learn.secure-aspnet-core-identity.badge
+  type: badge
+  title: Secure a .NET web app with the ASP.NET Core Identity framework
+  summary: Add authentication and authorization to a web app using ASP.NET Core Identity, ASP.NET Core's native security framework.
+  iconUrl: /training/achievements/aspnetcore/secure-aspnet-core-identity.svg
+- uid: learn.aspnet-core-signalr-polling-fix.badge
+  type: badge
+  title: Replace client-side polling with ASP.NET Core SignalR
+  summary: In this module, you use ASP.NET Core SignalR to replace client-side polling functionality in an existing web app.
+  iconUrl: /training/achievements/generic-badge.svg
+- uid: learn.dotnet-debug-visual-studio-app-service.badge
+  type: badge
+  title: Remotely debug ASP.NET Core apps hosted on Azure App Service using Visual Studio
+  summary: Learn how to remotely debug your ASP.NET Core apps on Azure App Service directly using Visual Studio 2022.
+  iconUrl: /training/achievements/generic-badge.svg
+- uid: learn.persist-data-ef-core.badge
+  type: badge
+  title: Persist and retrieve relational data by using Entity Framework Core
+  summary: Query and manage relational data in an Entity Framework Core (EF Core) app by using an object-relational mapper (ORM).
+  iconUrl: /training/achievements/aspnetcore/persist-data-ef-core.svg
+- uid: learn.aspnet-core-signalr.badge
+  type: badge
+  title: Introduction to ASP.NET Core SignalR
+  summary: In this introductory module, you'll learn what ASP.NET Core SignalR is, how it works, and when to use it.
+  iconUrl: /training/achievements/aspnetcore/aspnet-core-signalr.svg
+- uid: learn.azure.create-your-first-text-to-speech-app.badge
+  type: badge
+  title: Create your first Azure AI services text to speech application
+  summary: Microsoft's Azure AI services provide developers with APIs to create applications that take advantage of Azure's text to speech features. In this module, you'll learn how to use Azure AI services to create a text to speech application that uses both plain text and Speech Synthesis Markup Language (SSML) to create audio files.
+  iconUrl: /learn/achievements/generic-badge.svg
+- uid: learn.azure.create-your-first-speech-to-text-app.badge
+  type: badge
+  title: Create your first Azure AI speech to text application
+  summary: Microsoft's Azure AI services provide developers with APIs to create applications that take advantage of Azure's speech to text features. In this module, you'll learn how to use Azure AI services to create a speech to text application that converts a sample WAVE file into text.
+  iconUrl: /learn/achievements/generic-badge.svg
+- uid: learn.orleans-build-first-app.badge
+  type: badge
+  title: Build your first Orleans app with ASP.NET Core 8.0
+  summary: Learn how to build cloud-native, distributed apps with Orleans.
+  iconUrl: /training/achievements/generic-badge.svg
+- uid: learn.windows.windows-best-app-framework.badge
+  type: badge
+  title: Choose the best UI framework for a native Windows development project
+  summary: Windows developers have various options for creating applications that run on Windows. This module introduces the native Windows UI frameworks that are available for Windows development. It also provides guidance on how to choose the best framework for your application.
+  iconUrl: /learn/achievements/windows-best-app-framework.svg
+- uid: learn.wwl.detect-analyze-faces.badge
+  type: badge
+  title: Fundamentals of Facial Recognition
+  summary: Face detection and analysis are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service makes it easy integrate these capabilities into your applications.
+  iconUrl: /learn/achievements/detect-analyze-faces.svg
+- uid: learn.wwl.document-intelligence-knowledge-mining.trophy
+  type: trophy
+  title: 'Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining'
+  summary: 'Explore two AI workloads: document intelligence and knowledge mining.'
+  iconUrl: /training/achievements/document-intelligence-knowledge-mining.svg
+- uid: learn.wwl.explore-computer-vision-microsoft-azure.trophy
+  type: trophy
+  title: 'Microsoft Azure AI Fundamentals: Computer Vision'
+  summary: Computer vision is an area of artificial intelligence (AI) in which software systems are designed to perceive the world visually, through cameras, images, and video. There are multiple specific types of computer vision problem that AI engineers and data scientists can solve using a mix of custom machine learning models and platform-as-a-service (PaaS) solutions - including many AI services in Microsoft Azure.
+  iconUrl: /learn/achievements/explore-computer-vision-microsoft-azure.svg
+- uid: learn.wwl.get-started-with-artificial-intelligence-on-azure.trophy
+  type: trophy
+  title: 'Microsoft Azure AI Fundamentals: AI Overview'
+  summary: Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you get started.
+  iconUrl: /learn/achievements/get-started-with-artificial-intelligence-on-azure.svg
+- uid: learn.azure-introduction-to-azure-search.badge
+  type: badge
+  title: Fundamentals of Knowledge Mining and Azure AI Search
+  summary: Use Azure AI Search to make your data searchable.
+  iconUrl: /training/achievements/azure-introduction-to-azure-search.svg
+- uid: learn.wwl.analyze-images-computer-vision.badge
+  type: badge
+  title: Fundamentals of Computer Vision
+  summary: Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.
+  iconUrl: /training/achievements/analyze-images-computer-vision.svg
+- uid: learn.wwl.analyze-receipts-form-recognizer.badge
+  type: badge
+  title: Fundamentals of Azure AI Document Intelligence
+  summary: Document processing is a common task in many business scenarios. Organizations can use Azure AI Document Intelligence to automate data extraction across document types, such as receipts, invoices, and more.
+  iconUrl: /training/achievements/analyze-receipts-form-recognizer.svg
+- uid: learn.wwl.read-text-computer-vision.badge
+  type: badge
+  title: Fundamentals of optical character recognition
+  summary: Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.
+  iconUrl: /training/achievements/read-text-computer-vision.svg
+- uid: learn.accelerate-scale-spring-boot-application-azure-cache-redis.badge
+  type: badge
+  title: Accelerate a Spring Boot application with Azure Cache for Redis
+  summary: Learn how to use Azure Cache for Redis to cache business data and HTTP session data in a Java Spring Boot application, then publish the application to the cloud.
+  iconUrl: /training/achievements/accelerate-scale-spring-boot-application-azure-cache-redis.svg
+- uid: learn.intro-generative-ai.trophy
+  type: trophy
+  title: 'Microsoft Azure AI Fundamentals: Generative AI'
+  summary: "Generative AI is a form of artificial intelligence in which models are trained to generate new original content based on natural language input. In other words, you can describe a desired output in normal everyday language, and the model can respond by creating appropriate text, image, code, and more. \n\nTake this learning path to get started with generative AI. In it, you'll learn how to:\n- Understand core concepts of generative AI\n- Prepare for an AI development project\n- Describe considerations and practices for responsible generative AI\n- Build an AI agent using Azure AI Foundry"
+  iconUrl: /learn/achievements/generic-badge.svg
+- uid: learn.app-service-autoscale-rules.badge
+  type: trophy
+  title: Dynamically meet changing web app performance requirements with autoscale rules
+  summary: Respond to periods of high activity by incrementally adding resources, and then removing these resources when activity drops, to reduce costs.
+  iconUrl: /training/achievements/app-service-autoscale-rules.svg
+- uid: learn.wwl.bring-ai-to-business-users-your-organization.trophy
+  type: trophy
+  title: Bring AI to business users in your organization
+  summary: To truly empower an organization with AI, business leaders need to put AI in the hands of everyone, not just developers and data scientists.
+  iconUrl: /training/achievements/bring-ai-to-business-users-your-organization.svg
+- uid: learn.wwl.introduction-ai-for-business-users.trophy
+  type: trophy
+  title: Introduction to AI for business users
+  summary: To truly empower an organization with AI, business leaders need to put AI in the hands of everyone, not just developers and data scientists.
+  iconUrl: /training/achievements/introduction-ai-for-business-users.svg