Develop natural language processing solutions with Azure AI Services (AI-3003)

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 solutions 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.