A 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment.
👉 https://microsoft.github.io/Data-Science-For-Beginners/#/
A 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning, using primarily Scikit-learn as a library.
👉 https://github.com/microsoft/ML-For-Beginners
A 12-week, 24-lesson curriculum all about Artificial Intelligence.
👉 https://microsoft.github.io/AI-For-Beginners/
Learn how to configure and manage Azure network capabilities like connectivity services, application protection, application delivery, and network monitoring services.
👉 https://learn.microsoft.com/en-us/training/paths/az-104-manage-virtual-networks/
Learn how to leverage functions to execute server-side logic and build serverless architectures
👉 https://learn.microsoft.com/en-us/training/paths/create-serverless-applications/
Learn the business value and product capabilities of Microsoft Power Platform. Create simple Power Apps, connect data with Microsoft Dataverse, build a Power BI Dashboard, automate a process with Power Automate, and build a chatbot with Power Virtual Agents.
👉 https://learn.microsoft.com/en-us/training/paths/power-plat-fundamentals/
Learn how to create Azure Cosmos DB resources with the appropriate consistency levels, choose and create a partition key, and perform data operations by using the .NET SDK V3 for Azure Cosmos DB.
👉 https://learn.microsoft.com/en-us/training/paths/az-204-develop-solutions-that-use-azure-cosmos-db/
This course introduces you to Power BI and teaches you to use and build business intelligence reports.
👉 https://learn.microsoft.com/en-us/training/paths/create-use-analytics-reports-power-bi/
Learn how to use Azure Machine Learning to create and publish models without writing code.
👉 https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
Learn multiple services of Azure that you can combine to build large-scale analytics solutions that leverage the latest technologies and techniques for data ingestion, storage, modeling, and visualization.
👉 https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-data-warehouse-analytics/
Learn how to translate your existing SQL Server expertise to Azure SQL including Azure SQL Database and Azure SQL managed instance.
👉 https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/
You will learn how non-relational data is used as a common way for applications to store and query data without the overhead of a relational schema.
👉 https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-non-relational-data/
You will learn how to prepare your customer's data for migration, work with data management, and perform user acceptance testing to go live with finance and operations apps.
👉 https://learn.microsoft.com/en-us/training/paths/migrate-data-go-live-finance-operations/
Learn how to create, configure, and manage virtual machines on Linux and Windows that host web apps.
👉 https://learn.microsoft.com/en-us/training/paths/deploy-a-website-with-azure-virtual-machines/
You will learn how to address problems relating to the migration of on-premises workloads into Azure. After completing the learning path, you will be able to implement a hybrid Azure infrastructure.
👉 https://learn.microsoft.com/en-us/training/paths/implement-windows-server-hybrid-cloud-infrastructure/