Configure secure access to your workloads using Azure virtual networking
In this learning path, you practice configuring secure access to workloads using Azure networking.
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Secure storage for Azure Files and Azure Blob Storage
In this learning path, you practice storing business data securely by using Azure Blob Storage and Azure Files. The skills validated include creating storage accounts, storage containers, and file shares. Also, configuring encryption and networking to improve the security posture.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
In this learning path, you practice implementing Azure Monitor to collect, analyze and act on monitoring telemetry from Azure environments. You learn to configure and interpret monitoring for virtual machines, networking, and web applications.
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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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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
This learning path prepares you for the task of migrating SQL Server workloads to Azure SQL Database.
You’ll learn how to assess SQL Server components and compatibility for migration using the Azure SQL Migration Extension and Database Migration Assistant. This training guides you through the process of provisioning and configuring Azure SQL Database resources. You gain hands-on experience in choosing the best migration option to meet business requirements for downtime, handling migration state, and monitoring database migration.
Additionally, you’ll also learn to perform post-migration tasks like disaster recovery and monitoring for Azure SQL Database. These skills are essential for ensuring a smooth, efficient transition to Azure SQL Database, and maintaining its operation post-migration.
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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.
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This course explores how to use Databricks and Apache Spark on Azure to take data projects from exploration to production.
- Learn how to ingest, transform, and analyze large-scale datasets with Spark DataFrames, Spark SQL, and PySpark
- Build confidence in managing distributed data processing
- Get hands-on with the Databricks workspace—navigating clusters and creating and optimizing Delta tables
- Dive into data engineering practices, including designing ETL pipelines, handling schema evolution, and enforcing data quality.
- Automate and manage workloads with Lakeflow Jobs and pipelines
- Explore governance and security capabilities such as Unity Catalog and Purview integration
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Build Machine Learning Solutions using Azure Databricks.
Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications.
Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning.
In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models.
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Develop dynamic reports with Microsoft Power BI
Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
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This Empower your workforce with Copilot for Microsoft 365 Use Cases course is composed of two parts – Getting started with Copilot for Microsoft 365 and Empower your workforce with Copilot for Microsoft 365 Use Cases. The first part of the course introduces you to Copilot for Microsoft 365, examines how you can use Copilot throughout the various Microsoft 365 apps, explores best practices for using Copilot and building effective prompts, and examines how you can extend Copilot with plugins and Graph connectors.
The second part of this training content is really the heart of this course. Students perform a series of hands-on exercises involving seven Use Cases – Executives, Sales, Marketing, Finance, IT, HR, and Operations. These exercises focus on using Copilot in various Microsoft 365 apps (such as Word, PowerPoint, Outlook, and so on) to complete a series of common business-related tasks pertaining to each Use Case.
To complete the Use Case exercises in this course, each student must have access to a Microsoft 365 subscription (BYOS) in which they’re licensed to use Copilot for Microsoft 365. Each student must also have a Microsoft OneDrive account, since Copilot requires OneDrive to complete the file sharing tasks used throughout the Use Case exercises.
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