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Microsoft Certified: Azure AI Engineer Associate In Canada, Toronto , Montreal, Vancouver , Calgary, Edmonton

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Microsoft Certified: Azure AI Engineer Associate

Candidates for the Azure AI Engineer Associate certification build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services.

Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.

They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.


Skills measured
  • Plan and manage an Azure Cognitive Services solution
  • Implement Computer Vision solutions
  • Implement natural language processing solutions
  • Implement knowledge mining solutions
  • Implement conversational AI solutions

Course Outline

Select the appropriate Cognitive Services resource

  • select the appropriate cognitive service for a vision solution
  • select the appropriate cognitive service for a language analysis solution
  • select the appropriate cognitive Service for a decision support solution
  • select the appropriate cognitive service for a speech solution

Plan and configure security for a Cognitive Services solution

  • manage Cognitive Services account keys
  • manage authentication for a resource
  • secure Cognitive Services by using Azure Virtual Network
  • plan for a solution that meets responsible AI principles

Extract text from images

  • extract text from images or PDFs by using the Computer Vision service
  • extract information using pre-built models in Form Recognizer
  • build and optimize a custom model for Form Recognizer

Extract facial information from images

  • detect faces in an image by using the Face API
  • recognize faces in an image by using the Face API
  • analyze facial attributes by using the Face API
  • match similar faces by using the Face API

Manage speech by using the Speech service

  • implement text-to-speech
  • customize text-to-speech
  • implement speech-to-text
  • improve speech-to-text accuracy
  • improve text-to-speech accuracy
  • implement intent recognition

Translate language

  • translate text by using the Translator service
  • translate speech-to-speech by using the Speech service
  • translate speech-to-text by using the Speech service

Implement a Cognitive Search solution

  • create data sources
  • define an index
  • create and run an indexer
  • query an index
  • configure an index to support autocomplete and auto suggest
  • boost results based on relevance
  • implement synonyms

Implement an enrichment pipeline

  • attach a Cognitive Services account to a skillset
  • select and include built-in skills for documents
  • implement custom skills and include them in a skillset

Create a knowledge base by using QnA Maker

  • create a QnA Maker service
  • create a knowledge base
  • import a knowledge base
  • train and test a knowledge base
  • publish a knowledge base
  • create a multi-turn conversation
  • add alternate phrasing
  • add chit-chat to a knowledge base
  • export a knowledge base
  • add active learning to a knowledge base
  • manage collaborators

Integrate Cognitive Services into a bot

  • integrate a QnA Maker service
  • integrate a LUIS service
  • integrate a Speech service
  • integrate Orchestrator for multiple language models
  • manage keys in app settings file

About The Exam

This exam measures your ability to accomplish the following technical tasks: plan and manage an Azure Cognitive Services solutions; implement Computer Vision solutions; implement natural language processing solutions; implement knowledge mining solutions; and implement conversational AI solutions.


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