Good data is central to effective AI applications. This course teaches the basics of data for AI, covering what data is needed, how to extract data from existing databases and basic data skills including setup of a Python notebook environment, basic data exploration and simple data visualizations.

Distributed systems are the backbone of modern society but entail challenges in areas such as complexity and energy-use. Discover distributed systems from first principles, understand the architectures and techniques derived from them and explore examples of current practical use.

Grow from being a Unix novice to Unix wizard status! Process big data, analyze software code, run DevOps tasks and excel in your everyday job through the amazing power of the Unix shell and command-line tools.

Describe an Azure Arc-enabled SQL Managed Instance and how to connect to it to restore a SQL Server database backup and run queries. Use the instance to deploy, configure, and apply service updates.

In this module, you'll learn how you can use Azure Database for MySQL - Flexible Server to accommodate the scalability and resiliency requirements of your LAMP (Linux, Apache, MySQL, PHP/Perl/Python) based applications. You'll also learn how to create an Azure Database for MySQL flexible server.

Gain practical knowledge on how to deploy and manage a Hadoop cluster for big data processing.

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

SQL Server is the main data platform for many organizations, many of which use or are looking to use containers. This course explores the options, scenarios, and configuration for running SQL Server containers in Azure.

Learn how Azure Synapse Analytics enables you to build Data Warehouses using modern architecture patterns.

Data models are the core of data analysis in Power BI. This course will teach you how to create data models that help you author simpler DAX queries and better reports.

Learn how to query SQL databases and design relational databases to efficiently store large quantities of data.

Ever wonder how it's possible to create meaningful reports from data spread over multiple sources? This course explores how to create a data warehouse project that provides answers to the customers’ critical questions regarding their business.