This course will teach you how to use Azure AI Language to develop intelligent applications with natural language processing (NLP) capabilities.
Natural language processing helps us overcome challenges related to understanding and using human language in a computational context. Therefore, it is crucial for software developers to master these capabilities to effectively implement intelligent solutions for classifying and analyzing text-based data. In this course, Develop NLP Apps with Azure AI Language, you will learn how to use Azure AI Language to enable your apps to understand, interpret, and generate human language in a meaningful and useful way. First, you will learn to detect languages and extract information from unstructured text by identifying key phrases to highlight the main points in documents and implementing named entity recognition (NER) to identify, categorize, and disambiguate entities using entity linking. Next, you will discover how to leverage the text analysis capabilities of Azure AI Language to extract relevant information and generate summaries of original content, typically composed of lengthy documents or extended conversations. Finally, you will learn how to develop custom NLP models tailored to specific domains and use cases, utilizing cross-lingual transfer learning to apply the models to records in multiple languages, thereby improving performance and saving time and resources. When you are finished with this course, you will have the skills and knowledge to effectively apply NLP features and capabilities needed to build and deploy NLP applications using Azure AI Language.
Natural language processing helps us overcome challenges related to understanding and using human language in a computational context. Therefore, it is crucial for software developers to master these capabilities to effectively implement intelligent solutions for classifying and analyzing text-based data. In this course, Develop NLP Apps with Azure AI Language, you will learn how to use Azure AI Language to enable your apps to understand, interpret, and generate human language in a meaningful and useful way. First, you will learn to detect languages and extract information from unstructured text by identifying key phrases to highlight the main points in documents and implementing named entity recognition (NER) to identify, categorize, and disambiguate entities using entity linking. Next, you will discover how to leverage the text analysis capabilities of Azure AI Language to extract relevant information and generate summaries of original content, typically composed of lengthy documents or extended conversations. Finally, you will learn how to develop custom NLP models tailored to specific domains and use cases, utilizing cross-lingual transfer learning to apply the models to records in multiple languages, thereby improving performance and saving time and resources. When you are finished with this course, you will have the skills and knowledge to effectively apply NLP features and capabilities needed to build and deploy NLP applications using Azure AI Language.
