AI-3003 - Build a natural language processing solution with Azure AI Language

To earn this Microsoft Applied Skills credential, learners demonstrate the ability to create a natural language processing (NLP) solution by using Azure AI Language.

Candidates for this credential should have a solid understanding of creating and using various Azure NLP models through both Language Studio and in code, including custom models. They should also have experience programming in either Python or C#, be familiar with the Azure portal, and be comfortable provisioning Azure AI resources.

Duration: 1.0 day

Enquire Now

Start learning today!

Click Hereto customize your Training

Objectives

  • 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
  • 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
  • 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
  • Understand custom named entities and how they're labeled.
  • Build a Language service project.
  • Label data, train, and deploy an entity extraction model.
  • Submit extraction tasks from your own app.
  • Provision a Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations
  • 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)
  • Provision Azure resources for speech translation.
  • Generate text translation from speech.
  • Synthesize spoken translations.

Content

1. Analyze text with Azure AI Language

The Azure AI Language service enables you to create intelligent apps and services that extract semantic information from text.

Click here to know more

2. Build a question answering solution

The question answering capability of the Azure AI Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.

Click here to know more

3. Build a conversational language understanding model

The Azure AI Language conversational language understanding service (CLU) enables you to train a model that apps can use to extract meaning from natural language.

Click here to know more

4. Create a custom text classification solution

The Azure AI Language service enables processing of natural language to use in your own app. Learn how to build a custom text classification project.

Click here to know more

5. Create a custom named entity extraction solution

Build a custom entity recognition solution to extract entities from unstructured documents

Click here to know more

6. Translate text with Azure AI Translator service

The Translator service enables you to create intelligent apps and services that can translate text between languages.

Click here to know more

7. Create speech-enabled apps with Azure AI services

The Azure AI Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text to speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.

Click here to know more

8. Translate speech with the Azure AI Speech service

Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language, and returning translations of the transcription in one or more other languages.

Click here to know more

Audience

Developers, Data Scientists, AI Engineers.

Prerequisites

Basic understanding of Azure, programming in Python or C#, familiarity with NLP concepts.

Certification

product-certification

Course Benefits

product-benefits
  • Career growth
  • Broad Career opportunities
  • Worldwide recognition from leaders
  • Up-to Date technical skills
  • Popular Certification Badges

Microsoft Popular Courses

ms-700t00

The Managing Microsoft Teams course is designed for those aspiring to be Microsoft 365 Teams Administrators to deploy, configure and manage Office 365 workloads

az-900t00

This course is a high-level overview of Azure. The course will provide foundational level knowledge of cloud services and how those services are provided with M

sc-900t00

This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions.

mb-335t00

MB-335T00 is a course code that refers to a specific training program or course offered by Microsoft. Unfortunately, as of my knowledge cutoff in September 2021
Enquire Now
 
 
 
 
RKvjyo
By clicking "Submit", I agree to the Terms Of Use and Privacy Policy