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William Myers

Are you looking to quickly add the capabilities of AI-based language translation? Look no further than the powerful Azure Cognitive Services APIs. This course will show you how you can easily add them to your application.

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Are you looking to quickly add the capabilities of AI-based language translation? Look no further than the powerful Azure Cognitive Services APIs. This course will show you how you can easily add them to your application.

Do you have a need to add near real-time text translation to your application? In this course, Microsoft Azure Cognitive Services: Translator Text API, you will gain the ability to easily add the Translator Text API to your own applications. First, you will learn how to configure the API in the Azure portal. Next, you will discover how to quickly test the API using RESTful tools such as Postman and Fiddler. Finally, you will explore how to create a C# application that calls the API. When you’re finished with this course, you will have the skills and knowledge needed to leverage this powerful service in your own applications.

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What's inside

Syllabus

Course Overview
Understanding the Basics of Text Translator
Configuring and Testing the Translator Text API
Using the Translator Text API in C#
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops technical skills that are relevant to the industry
Provides hands-on practice with Azure Cognitive Services APIs for text translation
Suitable for learners with an interest in using AI-based language translation in their applications

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Microsoft Azure Cognitive Services: Translator Text API with these activities:
Review the basics of natural language processing (NLP)
NLP is the foundation of text translation. Reviewing core NLP concepts will help you understand how the API works.
Show steps
  • Reread the lecture notes or textbook chapters on NLP
  • Complete 2-3 practice exercises or coding challenges related to NLP
Practice using the Azure portal
The Azure portal is the primary tool for interacting with Azure services. Familiarity with it will help you configure and use the Translator Text API.
Browse courses on Azure Portal
Show steps
  • Create an Azure account if you don't have one
  • Explore the Azure portal and locate the Translator Text API service
  • Create a new Translator Text API resource
Follow a tutorial on using the Translator Text API with C#
Hands-on experience with the API will help you understand how to use it effectively in your application.
Show steps
  • Find a tutorial that uses C# and the Translator Text API
  • Follow the steps in the tutorial to create a C# application that uses the API
  • Test your application to make sure it works correctly
Three other activities
Expand to see all activities and additional details
Show all six activities
Compile a list of resources on text translation
Having a collection of resources at your disposal will provide continued learning opportunities beyond the course.
Browse courses on Text Translation
Show steps
  • Search for articles, tutorials, and documentation on text translation
  • Organize the resources into a document or spreadsheet
Participate in a hackathon or online coding challenge that involves text translation
Competitions can provide a fun and challenging way to apply your skills and knowledge.
Show steps
  • Find a hackathon or online coding challenge that involves text translation
  • Form a team or work on your own to develop a solution
  • Submit your solution and compete for prizes or recognition
Attend a workshop on text translation or machine learning
Workshops provide an opportunity to learn from experts and network with other professionals.
Show steps
  • Find a workshop on text translation or machine learning
  • Register for the workshop and attend all sessions
  • Participate in discussions and ask questions to enhance your learning

Career center

Learners who complete Microsoft Azure Cognitive Services: Translator Text API will develop knowledge and skills that may be useful to these careers:
Data Scientist
As a Data Scientist, you will use your programming expertise to collect, clean, and analyze large amounts of data. You will then use this data to build machine learning models that can be used to make predictions about future events. The Translator Text API can be used to translate data from one language to another, which can be essential for working with data from multiple sources.
Machine Learning Engineer
As a Machine Learning Engineer, you will design and develop machine learning models that can be used to solve a variety of problems. The Translator Text API can be used to translate training data from one language to another, which can help to improve the accuracy of your models.
Software Engineer
As a Software Engineer, you will design, develop, and maintain software applications. The Translator Text API can be used to add translation functionality to your applications, which can make them more accessible to users around the world.
Web Developer
As a Web Developer, you will design and develop websites. The Translator Text API can be used to add translation functionality to your websites, which can make them more accessible to users around the world.
Product Manager
As a Product Manager, you will be responsible for managing the development and marketing of a product. The Translator Text API can be used to add translation functionality to your products, which can make them more accessible to users around the world.
Business Analyst
As a Business Analyst, you will analyze business processes and make recommendations for how to improve them. The Translator Text API can be used to translate business documents from one language to another, which can help to improve communication between different teams.
Technical Writer
As a Technical Writer, you will write documentation for software and other technical products. The Translator Text API can be used to translate your documentation from one language to another, which can help to make it more accessible to users around the world.
Customer Success Manager
As a Customer Success Manager, you will be responsible for ensuring that customers are satisfied with their products and services. The Translator Text API can be used to translate customer support materials from one language to another, which can help to improve communication between customers and support staff.
Sales Engineer
As a Sales Engineer, you will help customers to understand and purchase technical products. The Translator Text API can be used to translate sales materials from one language to another, which can help to make them more accessible to customers around the world.
Marketing Manager
As a Marketing Manager, you will be responsible for developing and executing marketing campaigns. The Translator Text API can be used to translate marketing materials from one language to another, which can help to make them more accessible to customers around the world.
Project Manager
As a Project Manager, you will be responsible for planning and executing projects. The Translator Text API can be used to translate project documents from one language to another, which can help to improve communication between team members.
Operations Manager
As an Operations Manager, you will be responsible for the day-to-day operations of a business. The Translator Text API can be used to translate operational documents from one language to another, which can help to improve communication between employees.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Microsoft Azure Cognitive Services: Translator Text API.
Delves into the theoretical foundations and practical applications of Transformer models, which are widely used in natural language processing tasks like machine translation.
Provides a solid foundation in speech recognition, covering topics like speech production, acoustic modeling, and language modeling.
A comprehensive textbook that covers a wide range of topics in speech and language processing, including natural language understanding and generation.
An overview of machine learning algorithms for text data, including classification, clustering, and information extraction.
A comprehensive textbook on information retrieval, covering topics such as document ranking, query processing, and evaluation metrics.

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