• Introduction 
• Provision an Azure AI Language resource 
• Detect language 
• Extract key phrases 
• Analyze sentiment 
• Extract entities 
• Extract linked entities 

Exercise: Analyze text 

• Introduction 
• Understand question answering 
• Compare question answering to Azure AI Language understanding 
• Create a knowledge base 
• Implement multi-turn conversation 
• Test and publish a knowledge base 
• Use a knowledge base 
• Improve question answering performance 

Exercise: Create a question answering solution 

• Introduction 
• Understand prebuilt capabilities of Azure AI Language service 
• Understand resources for building a conversational language understanding model 
• Define intents, utterances, and entities 
• Use patterns to differentiate similar utterances 
• Use pre-built entity components 
• Train, test, publish, and review a conversational language understanding model 

Exercise: Build a conversational language understanding model 

• Introduction 
• Understand types of classification projects 
• Understand how to build text classification projects 

Exercise: Classify text 

• Introduction 
• Understand custom named entity recognition 
• Label your data 
• Train and evaluate your model 

Exercise: Extract custom entities 

• Introduction 
• Provision an Azure AI Translator resource 
• Understand language detection, translation, and transliteration 
• Specify translation options 
• Define custom translations 

Exercise: Translate text with Azure AI Translator service 

• Introduction 
• Provision an Azure resource for speech 
• Use Azure AI Speech to Text API 
• Use the text to speech API 
• Configure audio format and voices 
• Use Speech Synthesis Markup Language 

Exercise: Create a speech-enabled app 

• Introduction 
• Provision an Azure resource for speech translation 
• Translate speech to text 
• Synthesize translations