In this Azure tutorial, we will discuss What Is Azure Cognitive Services Along with this, we will also discuss a few other topics like Azure Cognitive Services, Benefits of Azure Cognitive Services, Why Azure Cognitive Services and we will also discuss How do I use Microsoft cognitive services API? Azure Cognitive Services Components.
What is Azure Cognitive Services? Azure Cognitive service is one of the excellent services from Microsoft that helps developers to implement Artificial Intelligence (AI), and Machine Learning (ML) without having the expertise in these areas. The developer just needs to call an API to implement the ability to see, hear, speak, search, etc., and accelerate the decision-making capability of your Applications.
Table of Contents
- What is Azure Cognitive Services
- Azure Cognitive Services
- Benefits of Azure Cognitive Services
- Why Azure Cognitive Services
- Azure Cognitive Services Components
- How do I use Microsoft cognitive services API?
- Wrapping Up
What is Azure Cognitive Services
Well, here is an excellent service from Microsoft Azure. As we all know any services that help us to deal with Artificial Intelligence (AI), and Machine Learning (ML) features now are considered to be the boom in the Market. Azure Cognitive Services is one of them.
Azure Cognitive Services
Microsoft Azure Cognitive services provide a number of Azure APIs that help you with the ability to make it easy to enhance your applications in different areas like vision, speech, knowledge, search, language, etc. That provides you the ability to implement the AI features in these areas.
Anomaly Detector is the Azure Cognitive Services that helps you to quickly identify problems with the help of an API call. This service helps you to identify the best detection model for your data to make sure that you should get a high-accuracy result. Anomaly detection as an Artificial Intelligence (AI) service is only provided by Azure. You can able to customize this service and can able to deploy it where you want.
- Anomaly Detector provides a powerful engine that helps you to identify the best algorithm based on your scenarios.
- The automatic detection feature of this service helps to get the solution for the problems easily with very little time.
- You can able to customize this service easily based on your business needs.
Content Moderator is a tool that helps you to identify problems very quickly.
- It helps to quickly detect unwanted images.
- It helps to quickly identify unwanted texts.
- It has built-in review tools to provide you with the best results.
Metrics Advisor is part of Azure Cognitive Services which is built based on the Anomaly Detector that helps you to monitor the growth engines of your organization which indeed helps you to easily identify and fix problems very quickly. This provides you with an alerting facility.
Personaliser is one of the services that you can use with no machine learning expertise that helps you to prioritize the relevant content and layouts with the help of the API.
Benefits of Azure Cognitive Services
Here, we will discuss the Key Benefits of Azure Cognitive Services.
- Azure Cognitive Services provides you with the best Artificial Intelligence (AI) capabilities based on your Domain.
- Azure Cognitive Services helps to achieve human parity in computer vision, speech, language, etc.
- Provides the flexibility to deploy the Azure Cognitive Services anywhere from the cloud with the help of the containers.
- You can able to use Azure Cognitive Services and can implement easily without any expertise in the machine-learning area.
Why Azure Cognitive Services
Overall, if you will see, You can able to build many interactive apps using these Azure Cognitive Services APIs in order to provide excellent services to the users. It is altogether a different experience for the users. It helps the developers also to create different engaging and interactive apps with fewer lines of code. The developer mostly needs to call the API which made the developer’s job easy. Let’s discuss Why Azure Cognitive Services?
If you have the requirement to integrate the vision detection features and want to detect different landmarks, images, labels, etc then in these cases, you can easily integrate these features to your application, simply by calling different APIs.
These tools come with different features that are Emotion, Face, Video, Content moderator, Video Indexer, etc. These features really help the developers to analyze the content and provide the solution quickly. It also helps to identify inappropriate content easily.
The Vision API can help to recognize the faces in different pictures which can help the developers to work on different applications like face detection, face identification, emotion recognition, face grouping, etc. Less headache for the developers and they can easily get the Output with fewer efforts and less time.
The content moderator is a human review tool that helps to quickly detect unwanted images, unwanted texts, etc to provide you with the best results.
Video Indexer is another category of Vision API that helps the developers to analyze the video properly and work on different applications like brand detection, auto language detection, etc. That helps the developers to save a lot of time and effort. Also, helps the developers to fix the different issues in the Videos.
With the help of Azure Cognitive Services, If you want to integrate speech processing features into your applications or services, you can able to integrate those easily into your Applications. You can able to use these APIs in different cases like Speech Translation, Speech Recognition, Speech to Text, etc.
This is one of the Speech APIs that helps developers to add different categories of translations to their apps. As of now, this API helps you to translate more than 10 languages. The intention here is, at the end of the day, the End-user should understand the translation.
It helps the developers to implement the verification mechanism in the applications to ensure that the person working on the application is the right person in terms of security reason. It plays an interesting role to identify the user. It actually identifies some words that the user speaks and then saves those words for future reference.
Speech to Text
With the help of the API, you can able to implement the features in your applications that can help you convert speech to text. You can able to implement this with the help of different languages. You can implement different applications like speech transcription, speech recognition, etc.
Text to Speech
This API also helps to develop different applications that help the developers easily implement the feature to convert the texts to audio for different languages. Supports around 45 languages as of now. It can also help to select the male and female versions of voices by analyzing the way of speaking, speed, tone, pronunciation, etc. This is really interesting and saves lots of coding effort and time for the developers.
With the help of Azure Cognitive Services APIs, the developers can build different applications that can understand different categories of text including the unstructured ones. This is another interesting feature of the Azure Cognitive Services APIs. With the help of this API, you can able to integrate different features in the applications like Language Understanding, Text Analytics, Translator Text, etc
The intention here is to build an application in such a way that it should understand the language of the user. So here is the Opportunity, the Language Understanding API helps the developers to implement this scenario easily with less coding effortless time.
Azure cognitive services text analytics API helps the developers to develop different application features like language detection, keyphrase extraction, etc. It extracts the information from the texts to understand the user’s language in a better way.
This is an excellent API that helps developers to translate texts easily and implement that in different applications. Language detection can be done automatically with the help of the text string.
Search is such an excellent feature to implement in your application. Everybody wants the search feature to be implemented in their applications. Azure Cognitive Services helps with some APIs related to the search functionality that helps the developers to implement the search functionality in different applications with just the API call and less coding effort.
Search functionality helps the users to get the desired result in less time while searching from billions of websites.
There are different APIs related to search functionality. Those are Bing Custom Search, Bing Web Search, Bing Video Search, Bing News Search
Bing Custom Search
Once you can customize the search based on your specific requirement. You can get the result immediately. It is very much powerful and dynamic. So basically with the help of this API, you can configure a custom search engine.
Bing Web Search
Bing Web Search API can help you to get fresh results through web searches. This is an excellent search API that really helps you to get the search results quicker.
Bing Video Search
Bing Video Search is a very powerful API that provides you with a list of relevant videos once you will search for a specific video. This has a very powerful mechanism to give the result within a span of time. The video search API uses API keys for authentication.
Bing News Search
With the help of the Bing News Search API, you can search for news-related and other relevant videos immediately and you will get the result in less time once you will search for that.
Azure Cognitive Services Components
Those areas below, We have already discussed all the components above, You can refer to the above sections to find the components in detail.
- Web search
How do I use Microsoft cognitive services API?
Well, now we have some idea about Azure Cognitive Services. Here we will discuss How do I use Microsoft cognitive services API?
Before starting the exact process, we should know what is the prerequisites for using Azure Cognitive Services.
Assuming you have an Azure Account now, Let’s discuss the process in detail
Log in to the Azure Portal (https://portal.azure.com/)
Once you logged in to the Azure Portal, search for the Cognitive Services. Then click on the search result as shown below
For the same option, you can also click on the + Create a resource from the left navigation and search for Cognitive Services. Then click on the search result as shown below
The next step is, click on the Create button from the below window.
On the Create Cognitive services window, Provide the below details
- Subscription: Choose the valid subscription that you want to use here.
- Resource Group: You need to choose your existing Resource Group here. If you don’t have an existing Resource Group then you can create a new Resource Group by clicking on the Create new link.
- Region: You need to provide the Region for your Azure Resource.
- Name: Provide a unique name for your Azure Cognitive Services.
- Pricing tier: Select the Pricing tier based on your business need. You can click on the View full pricing details link to verify the pricing details for your reference.
- Select those two checkboxes to accept the terms and conditions.
Finally, click on the Review + Create button as highlighted below.
On the next window, it will validate all the information entered by you on the above window, and then it will show you the Validation Passed message then You can able to see the Create button is enabled as shown below. Now verify the details entered by you again and then click on the Create button to create the Azure Cognitive Services.
You may also like following the below Articles
- How To Convert Text To Speech With Azure Cognitive Services
- How To Extract Text from Image Using Azure Cognitive Services
Well, in this article, we discussed Azure Cognitive Services, we also discussed a few other topics like What is Azure Cognitive Services, the Benefits of Azure Cognitive Services, and Why Azure Cognitive Services, and we also discussed How do I use Microsoft cognitive services API? Azure Cognitive Services Components. Hope you have enjoyed this Article !!!
I am Rajkishore, and I have over 14 years of experience in Microsoft Azure and AWS, with good experience in Azure Functions, Storage, Virtual Machine, Logic Apps, PowerShell Commands, CLI Commands, Machine Learning, AI, Azure Cognitive Services, DevOps, etc. Not only that, I do have good real-time experience in designing and developing cloud-native data integrations on Azure or AWS, etc. I hope you will learn from these practical Azure tutorials. Read more.