Text Analysis, Translation, and Speech

Introduction

This lesson covers the whole Implement text analysis solutions domain of AI-103 (10–15% of the exam). The official skills fall into two groups. The first is language model text analysis: extracting entities, topics, summaries and structured JSON with generative prompting and Foundry Tools; detecting sentiment, tone and sensitive content; and translating text with Azure Translator or LLM-based flows, including domain customization. The second is speech solutions: speech-to-text and text-to-speech for agent interactions, custom speech models, speech translation, and audio-based multimodal reasoning.