AI - 3003 : Develop natural language processing solutions with Azure AI Services Training

AI - 3003 : Develop natural language processing solutions with Azure AI Services

Unlock the power of human language with Azure AI in AI-3003. This course focuses on building applications that comprehend and respond to natural language. You’ll explore text analytics techniques, sentiment analysis, and chatbot development using Azure AI Language, equipping you with the skills to create intelligent applications that enhance user interaction and understanding.

Audience Profile:

This course is designed for:

AI Engineers
Developers
Those working with Azure AI services

Prerequisites:

Before starting this course, you should have:

Familiarity with Azure and the Azure portal
Experience programming with C# or Python
- If you lack programming experience, consider completing the Take your first steps with C# or Take your first steps with Python learning path first

Course Outline:

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 differs from language understanding.
Create, test, publish, and consume a knowledge base.
Implement multi-turn conversation and active learning.
Create a question answering bot to interact using natural language.

Module 3: Build a Conversational Language Understanding Model

Provision Azure resources for Azure AI Language.
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.
Learn 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 Azure AI Speech.
Use the Azure AI Speech to Text API for speech recognition.
Use the Text to Speech API for speech synthesis.
Configure audio format and voices.
Implement 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.

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Guaranteed to run classes as per your convenient time zone

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Download Course Contents

Audience Profile:

This course is designed for:

AI Engineers
Developers
Those working with Azure AI services

Prerequisites:

Before starting this course, you should have:

Familiarity with Azure and the Azure portal
Experience programming with C# or Python
- If you lack programming experience, consider completing the Take your first steps with C# or Take your first steps with Python learning path first

Course Outline:

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 differs from language understanding.
Create, test, publish, and consume a knowledge base.
Implement multi-turn conversation and active learning.
Create a question answering bot to interact using natural language.

Module 3: Build a Conversational Language Understanding Model

Provision Azure resources for Azure AI Language.
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.
Learn 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 Azure AI Speech.
Use the Azure AI Speech to Text API for speech recognition.
Use the Text to Speech API for speech synthesis.
Configure audio format and voices.
Implement 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.

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