In this learning path, you prepare for the Applied Skill, Deploy and administer Linux virtual machines on Microsoft Azure.
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This learning path helps prepare you for the APL-1008 Administer Active Directory Domain Services modern credential. You’ll learn how to create, deploy, and maintain an Active Directory Domain Services environment.
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In this learning path, you’re introduced to Azure Arc-enabled servers. You’ll cover Arc-enabled server deployment, updates to Arc-enabled servers using Azure Update Manager and configuring Microsoft Defender for Cloud for Azure Arc-enabled servers.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
This learning path helps you prepare for the Implement security through a pipeline assessment using Azure DevOps. Learn how to configure and secure Azure Pipelines. You’ll also get opportunities to practice hands-on skills. These skills include configuring secure access to pipeline resources, configuring, and validating permissions, configuring a project and repository structure, extending a pipeline, configuring pipelines to use variables and parameters securely, and managing identity for projects, pipelines, and agents.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Learn how to gather information from API documentation and perform HTTP operations in an ASP.NET Core Razor Pages web app.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Develop the skills necessary to configure a secure deployment solution for cloud-native apps. Learn how to build, deploy, scale, and manage containerized cloud-native apps using Azure Container Apps, Azure Container Registry, and Azure Pipelines.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Learn how to use the Semantic Kernel SDK to build intelligent applications that automate tasks and perform natural language processing.
Microsoft Applied Skills – the new credentials to verify in-demand technical skills. Get trained and certified in 2024 with Microsoft Malaysia’s Learning Partner of the Year 2024 today.
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Learn how to implement GitHub Actions and configure Azure Load Testing to automate testing app deployments.
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Learn how to accelerate app development by using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment.
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Explore DevOps practices using GitHub. Your development and operations teams will experience improved collaboration, agility, continuous integration, continuous delivery, automation, and operational excellence throughout all phases of the application lifecycle.
The opportunity is yours to lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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This course provides a comprehensive guide to designing and implementing platform engineering within modern enterprises. It covers the foundational principles, strategic alignment with business goals, and the practical aspects of building scalable, secure, and future-proof platforms.
By taking this course, learners will gain the knowledge and skills needed to enhance developer productivity, ensure operational excellence, and drive continuous innovation.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
