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

Length 1 day
Price NZD 995 exc GST

Course overview

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Why study this course

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

Microsoft Applied Skills
For more than 30 years, Microsoft's industry-recognised certifications have provided proof of world-class technical proficiency for in-demand job roles. In today’s ever-changing business environment, there are also times when you need verified project-specific skills. Microsoft Applied Skills is a new verifiable credential that validates that you have the targeted skills needed to implement critical projects aligned to business goals and objectives. Applied Skills gives you a new opportunity to put your skills center stage, empowering you to showcase what you can do and what you can bring to key projects in your organisation. Prepare for your Applied Skills credential with this one-day, instructor-led training course.

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What you’ll learn

After completing this course, students will be able to:

Detect language from text
Analyse 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
Synthesise spoken translations

Microsoft Azure at Lumify Work

Lumify Work is your best choice for training and certification in any of Microsoft’s leading technologies and services. We’ve been delivering effective training across all Microsoft products for over 30 years, and are proud to be Australia's and New Zealand’s first and largest Microsoft Gold Learning Solutions Partner. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by Microsoft Certified Trainers. Join more than 5,000 students who attend our quality Microsoft courses every year.

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Who is the course for?

AI Engineers
Developers
Solution Architects

Course subjects

Analyse text with Azure AI Language
Build a question answering solution
Build a conversational language understanding model
Create a custom text classification solution
Create a custom named entity extraction solution
Translate text with Azure AI Translator service
Create speech-enabled apps with Azure AI services
Translate speech with the Azure AI Speech service

Prerequisites

Familiarity with Azure and the Azure portal
Experience programming with C# or Python

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.