2 Month/20 Hours Price:90,~~000~~

80,000

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.

International student Fee 750$

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