We provide online course in english about AI-3003 Build a natural language processing solution with Azure AI Services. Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language.
Content:
You can use the Language Understanding service to build language models for your applications.
Agenda:
Module 1 - Analyze text with Azure AI Language:
• Detect language from text
• Analyze text sentiment
• Extract key phrases, entities, and linked entities
Module 2 - Create Question answering solutios with Azure AI Language:
• Understand question answering and how it compares to language understanding
• Create, test, publish, and consume a knowledge base
• Implement multi-turn conversation and active learning
• Create a question answering bot to interact with using natural language
Module 3 - Build a conversational language understanding model:
• Provision Azure resources for Azure AI Language resource
• Define intents, utterances, and entities
• Use patterns to differentiate similar utterances
• Use pre-built entity components
• Train, test, publish, and review an Azure AI Language model
Module 4 - Create a custom text classification solution:
• Understand types of classification projects
• Build a custom text classification project
• Tag data, train, and deploy a model
• Submit classification tasks from your own app
Module 5 - Custom named entity recognition:
• Understand tagging entities in extraction projects
• Understand how to build entity recognition projects
Module 6 - Translate text with Azure AI Translator service:
• Provision a Translator resource
• Understand language detection, translation, and transliteration
• Specify translation options
• Define custom translations
Module 7 - Create speech-enabled apps with Azure AI services:
• Provision an Azure resource for the Azure AI Speech service
• Use the Azure AI Speech to text API to implement speech recognition
• Use the Text to speech API to implement speech synthesis
• Configure audio format and voices
• Use Speech Synthesis Markup Language (SSML)
Module 8 - Translate speech with the Azure AI Speech service:
• Provision Azure resources for speech translation
• Generate text translation from speech
• Synthesize spoken translations
Target audience:
Anyone who wants course about AI-3003 Build a natural language processing solution with Azure AI Services
Prerequisites:
Before starting this learning path, you should already have:
• Familiarity with Azure and the Azure portal
• Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
Language:
• This course is given in english