What will you
learn next?

Design and build intelligent AI apps and agents on Azure that reason over text, images, and documents.

Create, monitor, and troubleshoot AI solutions on Microsoft Azure.

Design and develop AI‑enabled database solutions across Microsoft SQL platforms using Azure SQL, SQL Server, and Microsoft Fabric.

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

In this course we discuss the tasks needed to fulfill the role of developer in Dynamics 365 Finance and Operations Apps.

Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

A Dynamics 365 Business Central developer develops apps that extend Business Central. This can include creating new modules and modifying existing modules.

Learn An introduction to developing and deploying AI/ML applications on Red Hat OpenShift AI.

An introduction to developing and deploying AI/ML applications on Red Hat OpenShift AI.

In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them.

Design, develop, and deploy applications on GCP.