Focus on this objective today: Identify AI workloads: Describe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization. Explain it in your own words, apply it to one realistic scenario, and verify the details against the official source. Source context: Read in English Develop a text analysis agent with the Azure Language MCP server Module 6 Units Feedback Intermediate AI Engineer Developer Azure AI Language Microsoft Foundry Foundry Agent Service Learn how to build an AI agent that uses the Azure Language MCP server to perform text analysis tasks like language detection, entity recognition, and personal information redaction. Learning objectives After completing this module, you'll be able to: Describe the Azure Language MCP server and the text analysis capabilities it exposes. Explain how MCP enables dynamic tool discovery and selection by AI agents.
Objective
Identify AI workloads: Describe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization