Learn how to design a model deployment solution and how the requirements of the deployed model can affect the way you train a model.

The use of OneDrive, Git repositories, and Power BI deployment pipelines allows us to follow application lifecycle management techniques. This reduces administrative overhead and provides continuity in the development process.

The process of creating a complicated semantic model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great semantic model is about simplifying the disarray. A star schema is one way to simplify a semantic model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you learn about improving performance with your Power BI semantic models.

This learning path introduces the foundational components of designing scalable tabular models using Power BI. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

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

This learning path introduces a design process to design and deliver compelling Power BI reports. It begins by describing a proven design process created by leading report design experts. The process encompasses phases to understand the report users and their requirements, explore pleasing report designs, and develop reports all the way into production.

Trigger your learning instincts and find out how to create and test AFTER and INSTEAD OF triggers in SQL Server. This course will teach you how to effectively write and use DML triggers in SQL Server.

The course enables the engineers/data scientist to build and deploy machine learning models into the Azure cloud, just by using Azure CLI commands.

Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.

Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.

This course serves as a comprehensive introduction to the R programming language.

This course serves as a comprehensive introduction to the R programming language.