TL;DR

Azure Language in Foundry Tools is Microsoft’s NLP layer for turning raw text into structured signals you can use in apps and agents. In this module, the focus is on three core capabilities: language detection, named entity recognition, and PII extraction. For intermediate developers, the real value …

TL;DR

Why this learning path matters

I am assuming you want a single practitioner-oriented guide to the full learning path, not a lesson-by-lesson recap. That assumption fits the structure of the path: it is an intermediate track for AI Engineers and Developers, and Microsoft positions it around building apps …

TL;DR

This module is about turning text understanding into an agent capability. Microsoft’s Azure Language MCP server exposes capabilities such as language detection, named entity recognition, and PII redaction to agents through the Model Context Protocol (MCP), so a Foundry agent can discover and call those tools dynamically …