Prerequisites for AI-3003 Develop natural language solutions in Azure Course
AI-3003 Develop natural language solutions in Azure Course Outline
Resources
FAQs on AI-3003 Develop natural language solutions in Azure
You’ll learn to build natural language processing solutions on Azure, including text analysis (language detection, sentiment analysis, key phrase and entity extraction), speech-to-text and text-to-speech capabilities, and how to integrate these features into AI agents using Azure Language and Speech MCP servers within Microsoft Foundry Tools.
You should be familiar with Azure and the Azure portal, and have prior programming experience with either C# or Python.
This course is designed for developers and AI engineers who want to build intelligent applications that process natural language and speech, leveraging Azure Cognitive Services and Foundry Tools within their existing Azure-based development workflows.
Yes, the course covers both. It includes modules on analyzing text (sentiment, entities, key phrases) with Azure Language, as well as building speech-enabled applications using Azure Speech, including transcription, synthesis, and Speech Synthesis Markup Language (SSML).
MCP (Model Context Protocol) servers allow AI agents to connect to and utilize Azure Language and Speech services directly. The course teaches you how to integrate these MCP servers with agents to build more capable, context-aware natural language and speech applications.


