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This lesson focuses on translating text using AI. Building on earlier modules that covered language services—such as language detection, content summarization, entity extraction, and sentiment analysis—you will now learn how to translate text reliably and at scale. In this lesson you will learn three practical areas that help you support global users and multilingual content:
Learning objectivePractical benefitReference
Translate text using AIFaster, consistent multilingual content for apps and supporthttps://learn.microsoft.com/azure/cognitive-services/translator/
Working with Azure TranslatorScalable, production-ready translation APIs and SDKshttps://learn.microsoft.com/azure/cognitive-services/translator/
Custom translationDomain-specific vocabulary and improved accuracy for specialized contenthttps://learn.microsoft.com/azure/cognitive-services/translator/custom-translator/
Tip: If you’re new to Azure Translator, start with the quickstart examples in the Microsoft docs to test basic translation flows before adding custom glossaries or deployment-specific configurations.
Warning: Translating sensitive or regulated content (PHI, PII, legal documents) may have compliance implications. Always validate privacy requirements and consider on-premises or private deployment options when handling confidential data.
A presentation slide titled "Learning Objectives" with three numbered points: 01 Translate text using AI, 02 Working with translator service, and 03 Custom translation. The title sits on a dark vertical panel at left with a small "© Copyright KodeKloud" notice.
By the end of this lesson, you will be confident using AI and Azure Translator to translate content across languages efficiently and accurately, and you’ll know when and how to apply custom translation to meet domain-specific requirements.

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