Microsoft

This course provides the knowledge and skills to design and implement DevOps processes and practices.

This course provides a comprehensive guide to designing and implementing platform engineering within modern enterprises.

This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.

This course teaches Azure Solution Architects how to design infrastructure solutions.

Create, deploy, and manage intelligent AI agents using Azure AI Foundry.

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.