Build a Natural Language Processing Solution with Azure AI Services (AI-3003)
Course 8694
1 DAY COURSE

Build a Natural Language Processing Solution with Azure AI Services (AI-3003) is a dynamic one-day course tailored for software developers keen on integrating AI capabilities into their applications utilizing Azure AI Services and Azure AI Language. Throughout the course, participants will utilize either C# or Python programming languages to harness the power of Azure AI Language.

Build a Natural Language Processing Solution with Azure AI Services (AI-3003) Benefits

• In this course, you will learn how to:

  • Designing solutions for processing natural language with Azure AI Language. 
  • Creating solutions for analyzing text using preconfigured features. 
  • Training models for custom language solutions, specifically for question answering and conversational language understanding. 
  • Understanding, synthesizing, and translating speech. 

• Training Prerequisites

  Before enrolling in this course, students are expected to have: 

  • Knowledge of Microsoft Azure and the ability to navigate the Azure portal effectively. 
  • Proficiency in either C# or Python programming languages. 
  • Familiarity with JSON and REST programming semantics. 

Azure AI Services Natural Language Training Course AI-3003 Outline

Module 1: Analyze text with Azure AI Language 

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

Exercise: Analyze text 

Module 2: Build a question answering solution 

• 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 

Module 3: Build a conversational language understanding model 

• 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 

Module 4: Create a custom text classification solution 

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

Exercise: Classify text 

Module 5: Create a custom named entity extraction solution 

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

Exercise: Extract custom entities 

Module 6: Translate text with Azure AI Translator service 

• 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 

Module 7: Create speech-enabled apps with Azure AI services 

• 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 

Module 8: Translate speech with Azure AI Speech service 

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

Exercise: Translate speech