This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.

This learning path prepares you for the task of developing data-driven applications by using Microsoft Azure SQL Database.

You’ll learn how to create and configure an Azure SQL Database, build and deploy database projects using GitHub Actions and Azure Pipelines, and automate the publishing process. Additionally, you’ll explore how to use Data API builder for Azure SQL Database and develop a data API with Azure Web Apps and Static Web App.

Furthermore, you’ll gain skills in importing data via an external REST endpoint, exporting data using an Azure Function, and securing an Azure SQL Database. These essential skills will empower you to effectively develop and manage applications using Azure SQL Database.

Azure Database for PostgreSQL is a Platform as a Service database service in the Microsoft cloud. It bases itself on the PostgreSQL open-source relational database and includes built-in high availability, automatic backup and restore, as well as comprehensive security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling. In this learning path, you learn the main features of PostgreSQL and how they work in Azure Database for PostgreSQL. You learn about the different Azure Database for PostgreSQL implementation options, and how to configure a server for your needs.

This course covers how to prepare, enrich, and serve data for analysis by consumers such as data analysts, report developers, and AI agents. The course focuses on designing dimensional models and transforming data by using dataflows, notebooks, and T-SQL across lakehouses, warehouses, and eventhouses in Microsoft Fabric. The course also covers building and optimizing semantic models, managing the analytics development lifecycle, and enforcing security and governance across data assets.

Explore the data warehousing process and learn how to load, monitor, and query a warehouse in Microsoft Fabric.

In this learning path, the student is exposed to various ways to:

• Source streaming data sources into Microsoft Fabric.
• Use real time Eventstream in Microsoft Fabric.
• Query data in a KQL database in Microsoft Fabric.
• Create real time dashboards in Microsoft Fabric.

This course is designed to build practical skills in implementing data science and machine learning solutions using Microsoft Fabric. The course explores the complete end-to-end data science process, from understanding and exploring data to preparing and transforming datasets for analysis. Students will learn how to train, evaluate, and track machine learning models, as well as how to deploy those models and generate predictions using Microsoft Fabric tools and capabilities.

This course is designed as an introduction to Power BI for data analysis and reporting. Skills include connecting to data and basic data preparation tasks using Power Query, designing report pages for optimal user experience, and exploring how Copilot in Power BI aids the report development process. 

Is your team looking to modernize data engineering for unified analytics? As organizations move from fragmented data tools to integrated platforms, Microsoft Fabric is the new standard for scalable, real-time analytics and data solutions. The DP-700 Microsoft Fabric Data Engineer course prepares you to design, build, and optimize enterprise analytics solutions using Microsoft Fabric.

You’ll learn to ingest and transform data, orchestrate advanced analytics solutions, and secure your environment using Microsoft Fabric tools like Dataflows Gen2, Apache Spark, Delta Lake, and real-time dashboards. You’ll also receive targeted guidance, practice labs, and tips to help you succeed on the Microsoft DP-700 exam and earn your Fabric Data Engineer Associate certification.