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

Course 8694

Duration: 1 day
Language: English
Level: Intermediate

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 utilising Azure AI Services and Azure AI Language. Throughout the course, participants will utilise either C# or Python programming languages to harness the power of Azure AI Language.

Azure AI Services Natural Language Training Course AI-3003 Delivery Methods

In-Person
Online
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Azure AI Services Natural Language Training Course AI-3003 Information

In this course, you will learn how to:

Designing solutions for processing natural language with Azure AI Language.
Creating solutions for analysing text using preconfigured features.
Training models for custom language solutions, specifically for question answering and conversational language understanding.
Understanding, synthesising, 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: Analyse text with Azure AI Language

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

Exercise: Analyse 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
Synthesise translations

Exercise: Translate speech

Get This Course £835

1-Day Instructor-Led Training
Hands-On Labs
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

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Sep 16 9:00 AM - 4:30 PM BST

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Sep 24 2:00 PM - 9:30 PM BST

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Oct 22 2:00 PM - 9:30 PM BST

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Nov 18 2:00 PM - 9:30 PM GMT

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Dec 15 9:00 AM - 4:30 PM GMT

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Dec 17 2:00 PM - 9:30 PM GMT

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Jan 20 2:00 PM - 9:30 PM GMT

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Feb 20 2:00 PM - 9:30 PM GMT

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Mar 17 1:00 PM - 8:30 PM GMT

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Mar 18 9:00 AM - 4:30 PM GMT

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Jun 17 9:00 AM - 4:30 PM BST

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