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

  • Length 1 day
  • Price  $990 inc 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.

This one-day course prepares you for an Applied Skills credential.
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 centre-stage, empowering you to showcase what you can do and what you can bring to key projects in your organisation.

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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

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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


  • 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.

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