Azure AI Engineer Associate: Language Tasks Using REST APIs and Client SDKs

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Azure AI Foundry and Language Studio offer interactive ways to perform natural language processing (NLP) on Azure. For developers looking for programmatic access, the client SDKs and REST APIs are an ideal choice. In this course, you will explore Azure AI Language programmatic access, differentiate between prebuilt and custom Language service capabilities, and connect to Language and AI services resource objects. Next, learn how to perform key phrase extraction in multiple ways, perform named entity recognition (NER) programmatically and asynchronously, and detect PII in text. Finally, discover how to perform sentiment analysis, use opinion mining to extract granular text insights, and examine custom model capabilities. This course is part of a collection that prepares learners for the Designing and Implementing a Microsoft Azure AI Solution (AI-102) exam.