Microsoft · AI-901
AI workloads, text analysis and speech
AI-901 · Lesson 3 of 10 · 15:47
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In this lesson
Prepare for the AI-901 exam (Microsoft Azure AI Fundamentals). In this lesson: recognizing AI workloads — generative AI and agents (model, instructions and tools), text analysis techniques (language detection, key phrase extraction, entity detection, sentiment analysis, PII detection, extractive and abstractive summaries), when to use Azure Language in Foundry Tools rather than a chat model, and speech recognition and synthesis with Azure Speech in Foundry Tools. Includes three original practice questions.
Preview the topics
- A bike-rental company wants an assistant that answers questions about its rules, checks live availability in its booking system, and creates reservations. What fits best?
- A hotel review has two sentences: the first praises the friendly staff, the second complains the room was dirty. What sentiment should the whole document get?
- A hands-free warehouse assistant must listen to a worker’s spoken question, then answer out loud. Which capabilities, in what order?