How to create an Azure AI Services Resources

Level: Beginner
In this tutorial, you'll learn how to create Azure AI Services Resources.

Azure AI Services: Azure AI services help developers and organizations rapidly create intelligent, cutting-edge, market-ready, and responsible applications with out-of-the-box and pre-built and customizable APIs and models. Example applications include natural language processing for conversations, search, monitoring, translation, speech, vision, and decision-making.
I will discuss creating Azure AI Services Resources in Azure Portal in this tutorial.

We have different Azure AI Services:
1) Azure OpenAI - This performs a wide variety of natural language tasks.
2) AI Search - It brings AI-powered cloud search to your mobile and web app
3) Computer vision: This is used to perform different tasks, like Video Retrieval and Summary to Generate a summary of the main points shown in the video, recognize products on shelves, customize models with images, search photos with image retrieval, add dense captions to images, remove backgrounds from images, add captions to images, detect common objects in images, extract text from images, extract printed and handwritten style text from images and documents for supported languages, extract common tags from images, create smart-cropped images and detect faces in an image.

4) Face API: It is used to detect and identify people and emotions in images.
5) Custom vision: It Customizes image recognition to fit your business
6) Speech service: it is used to convert Speech to text, text to speech, translation and speaker recognition.
7) Language service: It builds apps with industry-leading natural language understanding capabilities.
8) Translator: It translates more than 100 languages and dialects
Document intelligence
9) Bot services: It creates bots and connects them across channels.
10) Anomaly detector: It identifies potential problems early on.
11) Content Moderator: It detects potentially offensive or unwanted content.
12) Health Insights: The Health Insights SDK makes it easy to integrate Health Insights into your web application.
13) Personalizer: It creates rich, personalized experiences for each user.
15) Metrics advisor: This is an AI service that detects unwanted content.
16) Immersive reader: It helps users read and comprehend text.
Azure AI services multi-service account
17) Content safety: An AI service that detects unwanted contents
Language understanding (classic).

You can also perform Object Character recognition to extract text from images.
You can also perform spatial analysis to Generate a brief summary of the main points shown in video, Count people in an area, Detect when people cross a line, Detect when people enter/exit a zone and Monitor social distancing.

Step 1:

Create an Azure AI services resource in your Azure subscription

Step 2:

In another browser tab, open the Azure portal at signing in with the Microsoft account associated with your Azure subscription.

Step 3:

Click the ＋Create a resource button and search for Azure AI services.

Step 4:

You will be directed to a page to create an Azure AI services resource.
Configure it with the following settings:

Subscription: Your Azure subscription.
Resource group: Select or create a resource group with a unique name.
Region: East US.
Name: Enter a unique name.
Pricing tier: Standard S0.
By checking this box I acknowledge that I have read and understood all the terms below: Selected.
Select Review + Create then Create and wait for deployment to complete.

Help and support

Azure AI services provide several support options to help you move forward with creating intelligent applications. Azure AI services also has a strong community of developers that can help answer your specific questions.

Summary

In this article, I describe Azure AI Services. I also discussed different Azure AI Services that we have.

They are:

Azure AI services
Azure OpenAI
AI Search
Computer vision
Face API
Custom vision
Speech service
Language service
Translator
Document intelligence
Bot services
Anomaly detector
Content moderator
Health Insights
Personalizer
Metrics advisor
Immersive reader
Azure AI services multi-service account
Content safety
Language understanding (classic)