Businesses frequently receive information in forms that ordinary databases cannot query directly: scanned invoices, photographs, recorded calls, meeting videos and handwritten annotations. M

Computer vision can help software interpret visual information, while image generation creates new visual content. They are easy to confuse because both can involve images and neural models.

Speech interfaces let people interact with software without typing and let applications return spoken information, but several different technologies sit behind the phrase “voice AI.” A spee

A short customer message can contain several kinds of information: a person’s name, product identifier, date, opinion and request for action. AI-901 tests recognition of text-analysis worklo

An agent is not simply a more complicated word for chatbot. A basic prompt agent in Microsoft Foundry combines a selected model, instructions, optional tools and a maintained identity in a s

A working chat client is a useful AI-901 exercise because it connects model concepts to an application boundary. The client must identify an approved model deployment , authenticate, su

Microsoft Foundry can make a foundation model available for a lightweight application, but a successful prompt in a portal playground is not the same as a production-ready service. AI-9

A common AI fundamentals mistake is starting with a fashionable model instead of the problem. An organization may need a number predicted from historical data, a short message classifie

Responsible AI is easier to understand when it becomes a series of design decisions rather than a slogan attached to a product. A recommendation system can be statistically accurate but

The Microsoft Azure AI Fundamentals certification now uses Exam AI-901 , not the retired AI-900 exam. That change matters more than a new number on a booking page. AI-901 asks beginning AI d