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Develop natural language processing solutions with Azure AI Services
Duration
1
Course
MOC-AI-3003
Available Formats
Classroom Training, Online Training
Course Description
Overview
Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications and explore Azure AI Foundry to use generative models for speech.Objectives
Upon completion of this course, students will be able to:
- Detect language from text
- Analyze text sentiment
- Extract key phrases, entities, and linked entities
- 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.
- 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
- Provision a Translator resource
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Deploy an audio-enabled generative AI model in Azure AI Foundry.
- Helps prepare you for Exam AI-102
- Create a chat app that submits audio-based prompts.
Audience
AI Engineer, Developer
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.
Topics
- 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 assessment
- Summary
- Create question answering solutions with Azure AI Language
- 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 assessment
- Summary
- Build a conversational language understanding model
- Introduction
- Understand prebuilt capabilities of the 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 an Azure AI services conversational language understanding model
- Module assessment
- Summary
- Create a custom text classification solution
- Introduction
- Understand types of classification projects
- Understand how to build text classification projects
- Exercise - Classify text
- Module assessment
- Summary
- Custom named entity recognition
- Introduction
- Understand custom named entity recognition
- Label your data
- Train and evaluate your model
- Exercise - Extract custom entities
- Module assessment
- Summary
- 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 the Azure AI Translator service
- Module assessment
- Summary
- Create speech-enabled apps with Azure AI services
- Introduction
- Provision an Azure resource for speech
- Use the 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 assessment
- Summary
- Translate speech with the Azure AI Speech service
- Introduction
- Provision an Azure resource for speech translation
- Translate speech to text
- Synthesize translations
- Exercise - Translate speech
- Module assessment
- Summary
- Develop an audio-enabled generative AI application
- Introduction
- Deploy a multimodal model
- Develop an audio-based chat app
- Exercise - Develop an audio-enabled chat app
- Module assessment
- Summary
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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