Introduction

• 2 minutes

Azure AI services are cloud-based services that encapsulate AI capabilities. Rather than a single product, you should think of AI services as a set of individual services that you can use as building blocks to compose sophisticated, intelligent applications.

AI services includes a wide range of individual services across language, speech, vision, generative AI, and more. You can use AI services to build your own AI solutions to provide out-of-the-box solutions for common AI scenarios. A few examples of individual Azure AI services include:

• Azure AI Vision - Analyze content in images and videos.
• Azure AI Language - Build apps with industry-leading natural language understanding capabilities.
• Azure AI Speech - Speech to text, text to speech, translation, and speaker recognition.
• Azure AI Document Intelligence - An optical character recognition (OCR) solution that can extract semantic meaning from forms, such as invoices, receipts, and others.
• Azure AI Search - A cloud-scale search solution that uses AI services to extract insights from data and documents.
• Azure OpenAI - An Azure AI service that provides access to the capabilities of OpenAI GPT-4.

While the details of each AI service can vary, the approach to provisioning and consuming them is generally the same.

In this module, you will learn how to:

• Create Azure AI services resources in an Azure subscription.
• Identify endpoints, keys, and locations required to consume an AI services resource.
• Use a REST API to consume an AI service.
• Use an SDK to consume an AI service.