AI-3003 Develop natural language solutions in Azure

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

By the end of this course, participants will be able to:

• Text Analysis – Detect language, analyze sentiment, extract key phrases, and identify entities using Azure AI Language.

• Custom Models – Build and deploy custom text classification and named entity recognition (NER) projects.

• Conversational AI – Create question answering and conversational models with intents, utterances, entities, and multi-turn dialogues.

• Speech & Translation – Implement speech-to-text, text-to-speech, translation, and audio-enabled generative AI applications with Azure AI Speech and Translator.

• Azure Integration – Provision required Azure resources and integrate NLP capabilities into applications using Python, C#, and Language Studio.

• Software Developers – build and integrate NLP solutions on Azure

• Data Scientists – apply AI Language services to text and speech data

• AI Engineers – design and deploy custom conversational and NLP models

• IT Professionals – with Azure experience and C#/Python skills, looking to implement text analysis, conversational AI, and speech-enabled apps

• Familiarity with Azure and the Azure portal.
• Experience programming with C# or Python.