Text analysis is the set of techniques for extracting meaning from text, including keyword extraction, entity detection, sentiment analysis, and summarization. AI-901 covers these techniques and building a lightweight text-analysis app.
Microsoft Foundry is Microsoft's unified platform for building, deploying, and managing generative AI apps and agents on Azure.
The Foundry SDK is the client library used to build applications that call models and agents deployed in Microsoft Foundry.
Generative AI is a class of AI that creates new content — text, images, code, or audio — from patterns learned during training.
An agent is an AI solution that uses a model plus instructions, tools, and knowledge to accomplish tasks rather than answer a single prompt.
A prompt is the system or user instruction given to a generative model to shape its response.
Responsible AI is Microsoft's framework of principles — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability — for building trustworthy AI.
A multimodal model is a model that accepts and reasons over more than one input type, such as text plus images or audio.
Computer vision is the AI field concerned with interpreting images and video — classification, object detection, and OCR — which is distinct from image generation.
Text analysis is the set of techniques for extracting meaning from text, including keyword extraction, entity detection, sentiment analysis, and summarization.
Sentiment analysis is a text-analysis technique that determines the emotional tone — positive, negative, or neutral — of a piece of text.
Entity detection is a text-analysis technique that identifies and categorizes named items such as people, places, and organizations in text.
Azure Content Understanding in Foundry Tools is a service that extracts structured information from documents, images, audio, and video.
Information extraction is the AI workload that pulls structured data — fields, entities, tables — out of unstructured documents and media.
Speech recognition is the AI capability that converts spoken audio into text (speech-to-text); its counterpart, speech synthesis, converts text into spoken audio.