To earn this Microsoft Applied Skills credential, learners demonstrate the ability to develop AI agents by using Azure OpenAI Service and the Semantic Kernel SDK. Candidates for this credential should be familiar with Visual Studio Code, C# programming, and Azure OpenAI.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to train and manage machine learning models with Azure Machine Learning. Candidates for this credential should be familiar with Azure services and should have experience with Azure Machine Learning and Mlflow. Candidates should also have experience performing tasks related to machine learning by using Python.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement a lakehouse in Microsoft Fabric, including: Creating and managing a lakehouse Ingesting and transforming data Querying and exploring lakehouse data Candidates for this credential should be familiar with data modeling, data transformation, and exploratory analytics. They should also be able to query and change data by using SQL or PySpark.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to develop data-driven applications by using Microsoft Azure SQL Database. Candidates for this credential should have experience developing data-driven applications. They should also be familiar with the Azure ecosystem and the components involved in developing applications that include Azure SQL Database. Candidates need a basic understanding of Git-based source control, in addition to how REST APIs interact with Azure SQL Database for data operations.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to develop custom apps for the Microsoft Teams platform. Candidates for this credential should have experience developing applications that use Microsoft Graph API and the Microsoft identity platform. Candidates should be familiar with: Tools for developing apps for Microsoft Teams, such as the Microsoft Teams Toolkit. How to deploy and configure Azure Functions, Web Apps, and storage accounts in Azure.

To earn this Microsoft Applied Skills credential, demonstrate the ability to develop AI-powered solutions with Azure Database for PostgreSQL. As a candidate for this credential, you should have experience writing SQL queries and Python. You should also be familiar with general AI concepts and RAG frameworks.

Candidates for this credential should have experience creating resources by using the Azure portal, working with cloud and on-premises management platforms, and managing virtual machines (VMs) and databases as if the VMs and databases are running in Azure. They should also know how to automate tasks by using PowerShell and the Azure CLI and should be able to implement Azure Arc governance by using Azure Policy. For this credential, candidates should have an understanding of security concepts, like identities, permissions, and encryption, in addition to networking concepts, like virtual networks and subnetting.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement retention, eDiscovery, Communication Compliance, and Content search in Microsoft Purview. Candidates for this credential should be familiar with Microsoft 365 services and Microsoft Purview. They also need experience administering compliance in Microsoft 365.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to work with containers, container orchestration with Kubernetes, and manage clusters on Azure Kubernetes Service (AKS). Candidates for this credential must have experience with Azure administration and with deploying resources in Azure. They should also have a basic understanding of Azure Policy, Kubernetes, and AKS concepts, including docker and kubectl commands.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to develop an ASP.NET Core Blazor Web app that consumes an API to retrieve, create, and update data. Candidates for this credential should have experience developing ASP.NET Core Blazor Web apps by using Visual Studio Code.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to deploy cloud-native applications using Azure Container Apps. Candidates should be familiar with Azure platform services, as well as container-related technologies. Candidates for this credential should be familiar with: Continuous integration and continuous deployment (CI/CD) Azure DevOps Azure CLI PowerShell Bash

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to deploy and configure monitoring for Azure infrastructure. Candidates for this assessment lab should be familiar with operating systems, networking, servers, and virtualization.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to build computer vision solutions by using Azure AI Vision. Candidates for this credential should have a solid understanding of working with Azure AI Vision models, both prebuilt and custom, through Vision Studio and in code. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to build distributed apps with .NET Aspire. Candidates for this credential should have experience building .NET apps and containerized solutions with C#.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to deploy and administer Linux virtual machines (VMs) on Azure. Candidates perform tasks in the context of the current LTS version of the Ubuntu Server distribution. Candidates for this credential should be familiar with the fundamentals of Azure and Linux and should have experience administering VMs on Azure.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement a data warehouse in Microsoft Fabric, including: Creating a data warehouse Loading, transforming, and querying data Modeling a star schema Managing security Candidates for this credential should be familiar with data modeling, data transformation, and exploratory data analytics. They should also be able to query and change data by using T-SQL.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to assess and migrate SQL Server workloads to Azure SQL Database. Candidates for this credential should have a solid understanding of both database-level and instance-level scoped objects in SQL Server. They should also be familiar with provisioning Azure SQL resources and navigating the Azure portal.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to use Microsoft Defender XDR to detect and respond to cyberthreats. Candidates for this credential should be familiar with investigating and gathering evidence about attacks on endpoints. They should also have experience using Microsoft Defender for Endpoint and Kusto Query Language (KQL).

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement a Real-Time Intelligence solution in Microsoft Fabric, including: Preparing a Real-Time Analytics environment Creating and loading data from external sources Loading and processing streaming data by using Eventstreams Exploring and manipulating data Visualizing and exporting data Candidates for this credential should be familiar with data transformation, exploratory analytics, and real-time dashboards. They should also be proficient in KQL.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to securely store business data by using Azure Blob Storage and Azure Files. Candidates for this credential should be familiar with Azure services, storage, networking, and virtual machine concepts.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement regulatory compliance controls as recommended by the Microsoft cloud security benchmark. Candidates for this credential should be familiar with Azure infrastructure as a service (IaaS) and platform as a service (PaaS). They should have experience with security capabilities in Azure, along with a working knowledge of regulatory compliance standards.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to develop generative AI solutions with Azure OpenAI Service. Candidates for this credential should be familiar with Azure services and have experience developing applications by using C# or Python.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement Microsoft Purview Information Protection and Microsoft Purview Data Loss Prevention. They validate their ability to discover, classify, and protect sensitive data in Microsoft 365, effectively implementing data security by using Microsoft Purview. Candidates for this credential should be familiar with Microsoft 365 services, Microsoft Purview, and PowerShell. They should understand data classification, sensitivity labels, and policy enforcement. The scenario in this experience represents real-world challenges faced by those in security roles, including information protection and compliance administrators, Microsoft 365 administrators, and security operations analysts.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to build model-driven apps by using Microsoft Power Apps. Candidates for this credential should be familiar with: Data modeling concepts in Microsoft Dataverse. The Power Apps maker portal.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to prepare Microsoft 365 security and compliance to support Microsoft Copilot for Microsoft 365. Candidates for this credential should be familiar with Microsoft 365 services, Microsoft Defender XDR, Microsoft Entra, Microsoft Intune, and Microsoft Purview.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to solve business problems by creating canvas apps with Microsoft Power Platform. Candidates for this credential should understand application development, writing formulas such as those in Excel, and creating, reading, updating, and deleting data.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to administer Active Directory Domain Services (AD DS). Candidates for this credential should be familiar with Windows Server, core networking technologies, PowerShell basics, and AD DS concepts and technologies.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement secure Azure Pipelines. Candidates for this credential should be familiar with continuous integration and continuous deployment (CI/CD) tools, including Azure Pipelines.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create a natural language processing (NLP) solution by using Azure AI Language. Candidates for this credential should have a solid understanding of creating and using various Azure NLP models through both Language Studio and in code, including custom models. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to implement a data science solution by using Microsoft Fabric, including: Ingesting, loading, exploring, and preparing data Training, tracking, and scoring a model Candidates for this credential should be familiar with data science and AI fundamentals, in addition to open-source frameworks, such as scikit-learn and SynapseML. They should also have experience with: Python MLflow Synapse Data Science in Microsoft Fabric

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to set up and configure Microsoft Sentinel. Candidates for this credential should be familiar with Microsoft Security, compliance, and identity products; the Azure portal; and Azure administration, including role-based access control (RBAC).

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to build intelligent apps with AI Builder, a feature within Microsoft Power Platform. Candidates for this credential should be familiar with the Microsoft Power Platform Environment Maker role, Power Automate, Power Platform canvas apps, Power Automate cloud flows and Dataverse. They should also have experience with AI Builder.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create and implement Azure AI Document Intelligence solutions. Candidates for this credential should have a solid understanding of creating and using Document Intelligence models through both Document Intelligence Studio and in code. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to secure resources by using Azure virtual networking solutions. Candidates for this credential should be familiar with Azure services, the Azure portal, and basic networking, DNS, and Azure Firewall concepts.

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create and manage automated processes with Power Automate. Candidates should be familiar with Microsoft Power Platform and Power Automate and should have subject matter expertise in automating business processes.