Getting Started with Azure AI Language Service

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Unlock the potential of language processing with ‘Getting Started with Azure AI Language Service,’ a comprehensive video course delving into core components, practical applications, and hands-on sentiment analysis using Azure services.

In this concise and informative video, you will explore the core components, advantages, and real-world use cases of Azure AI Language Service. You will discover pricing tiers, create your instance in the Azure Portal, and unleash the potential of Language Studio features. This video will help you gain hands-on experience performing sentiment analysis with Python, unlocking the power of text analytics. With a total duration of 47 minutes, this course equips participants with essential skills for efficient language processing, making it an ideal resource for those venturing into the realm of Azure AI Language Service.

After going through this video, you will be able to work with Azure AI Languages and further explore more practical implementation in your business or organization.

What Will You Learn

Explore the core components and capabilities of Azure AI Language Service for natural language processing
How to create an Azure AI Language Service instance, including configuration settings and key acquisition
Understanding Language Studio features within Azure AI Language Service
Demonstrating sentiment analysis using Azure AI Language Service and Python.

Who Is This Video For

Azure AI administrators and software developers.

Unlock the potential of language processing with this video course delving into components, applications, and hands-on analysis using Azure services.

About The Author

Ashirwad Satapathi is working as a Technology Consultant with Microsoft and has expertise in building scalable applications with .Net Core. He has a deep understanding of building full-stack applications using .Net and Azure PaaS and Serverless offerings. He is an active blogger in the C# corner developer community. He has been awarded C# Corner Most Valuable Professional (MVP) - September 2020, September 2021 for his remarkable contributions to the developer community.

He is an active speaker and delivers sessions on Blazor and Microsoft Azure. He has spoken for multiple communities like Microsoft Reactor Bangalore, UTF, Konfhub Tech Conferences and ServerlessDays Amsterdam.

He is an active community organizer. He is an active community member of Utkal Techies Forum (UTF), a developer community-based out of Odisha, India, and helps organize events for the community. He is a member of the Outreach Committee of .NET Foundation. He has started Serverless Days Bhubaneswar and hosts virtual sessions to build awareness among the developer community in the region about serverless technologies and make them proficient enough to build highly scalable and efficient serverless applications.

About this video

Author(s): Ashirwad Satapathi
DOI: https://doi.org/10.1007/979-8-8688-1333-7
Online ISBN: 979-8-8688-1333-7
Total duration: 39 min
Publisher: Apress
Copyright information: © The Editor(s) (if applicable) and The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2025

Video Transcript

Hello, everyone. Welcome to our course on getting started with Azure AI Language Service. I’m excited to have you here as we embark on this journey together. In this course, we’ll explore the powerful capabilities of Azure AI Language Service, a cloud-based solution from Microsoft designed to help you harness the power of natural language processing.

Before we dive any deeper, a bit of an introduction about myself. I work as a software engineer with a leading IT firm and have experience in working in a number of industries. For the past three years, I have been a Microsoft certified trainer. I’m experienced in building various kinds of applications ranging from n-tier monoliths to microservices. Additionally, I’m a published author of multiple books on Microsoft Azure. Throughout this course, I’ll use my experience and expertise to guide you through the powerful capabilities of Azure AI Language Service.

In this course, we have several key objectives to cover. We’ll start with an introduction to Azure AI Language Service, giving you a clear understanding of what it is and what it can do.

Next, we’ll discuss the advantages of using Azure AI Language Service. You’ll learn how it can benefit your project and why is a powerful tool for natural language processing.

We’ll then explore various use cases. By looking at real world applications, you’ll see how Azure AI Language Service can be used in different scenarios and industries.

Understanding the pricing tier is also essential. We’ll go over the different options available so you can choose the best one that fits your needs and budget.

Creating your Azure AI Language Service instance in the Azure Portal is a hands-on task we’ll cover. Step-by-step we’ll guide you through this process, ensuring you can set it up easily.

Exploring the features with Language Studio will be another key part of our course. You’ll get to see how to utilize this tool to make most out of Azure AI Language Service.

Performing sentiment analysis with Python is an exciting practical application we’ll delve into. This demo will show you how to implement sentiment analysis, giving you a tangible example of the service in action.

Finally, we’ll wrap up with the summary to consolidate what we have learned and ensure you leave with a solid understanding of Azure AI Language Service.

Let’s get started and unlock the potential of Azure AI Language Service together. Thank you for joining. Let’s dive in.