linkedin

Home - Courses - - postTitle –

 

Microsoft Certified Azure AI Engineer Associate Course in Dubai

Overview of Microsoft Certified Azure AI Engineer Associate

Microsoft Certified Azure AI Engineer Associate Course, Prospects for the Azure AI Designer Affiliate certification need to have topic proficiency building, handling, and deploying AI remedies that take advantage of Azure Cognitive Providers, Azure Cognitive Look, and Microsoft Robot Framework.

Their duties consist of joining all phases of AI services growth-- from demands meaning as well as style to growth, implementation, upkeep, performance adjusting, as well as monitoring.

Azure AI Engineers collaborate with option architects to convert their vision as well as with data researchers, information designers, IoT specialists, and also AI programmers to develop complete end-to-end AI options.

Candidates for this certification must be proficient in C#, Python, or JavaScript and should be able to utilize REST-based APIs and SDKs to develop computer vision, natural language processing, knowledge mining, and also conversational AI services on Azure. They must additionally comprehend the parts that compose the Azure AI profile and also the offered information storage space alternatives. Plus, candidates need to recognize and be able to apply responsible AI concepts.

After the Azure AI Engineer course, You will earn this certification if you pass one of the following exams:

  • AI-100 (retiring June 30, 2021) or
  • AI-102 (beta released February 23, 2021)

Job role: AI Engineer

Required exams: AI-102

Microsoft Certified Azure AI Engineer Associate Certification details

Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Languages: English

This test gauges your ability to achieve the adhering to technological tasks: plan and also take care of Azure Cognitive Providers services; execute Computer Vision solutions; implement natural language processing solutions; apply understanding mining services; and execute conversational AI solutions.


Azure AI Engineer course candidates for Examination AI-102 need to have subject expertise structure, handling, and also deploying AI remedies that utilize Azure Cognitive Providers, Azure Cognitive Search, as well as Microsoft Bot Structure.


Prospects for this test should be proficient in C#, Python, or JavaScript and also must have the ability to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, as well as conversational AI solutions on Azure. They should likewise understand the components that comprise the Azure AI profile and also the available information storage options. And also, prospects need to comprehend as well as be able to apply responsible AI concepts.

Part of the requirements for: Microsoft Certified Azure AI Engineer Associate

Microsoft Certified Azure AI Engineer Associate Skills measured

  • Strategy and also handle an Azure Cognitive Solutions solution
  • Implement Computer Vision solutions
  • Implement natural language processing solutions
  • Implement understanding mining services
  • Carry out conversational AI remedies

Microsoft Certified Azure AI Engineer Associate

Microsoft Certified Azure AI Engineer Associate Course content

Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution

Plan and Manage an Azure Cognitive Services Solution (15-20%)

Select the appropriate Cognitive Services resource

  • pick the suitable cognitive service for a vision remedy
  • pick the ideal cognitive solution for a language evaluation option
  • choose the proper cognitive Solution for a decision assistance solution
  • select the ideal cognitive solution for a speech remedy

Plan and configure security for a Cognitive Services solution

  • take care of Cognitive Services account secrets
  • handle authentication for a source
  • secure Cognitive Services by utilizing Azure Virtual Network
  • prepare for an option that satisfies accountable AI principles

Create a Cognitive Services resource

  • produce a Cognitive Providers resource
  • configure analysis logging for a Cognitive Solutions source
  • manage Cognitive Services costs
  • check a cognitive solution
  • implement a personal privacy plan in Cognitive Providers

Plan and implement Cognitive Services containers

  • identify when to deploy to a container
  • Containerize Cognitive Provider (consisting of Computer system Vision API, Face API, Text Analytics, Speech, and Kind Recognizer).

Implement Computer Vision Solutions (20-25%)

Analyze images by using the Computer Vision API

  • recover photo summaries as well as tags by utilizing the Computer Vision API
  • recognize sites and celebrities by utilizing the Computer system Vision API
  • find brand names in photos by utilizing the Computer system Vision API
  • modest web content in pictures by utilizing the Computer system Vision API
  • create thumbnails by using the Computer system Vision API

Extract text from images

  • essence message from images by using the OCR API
  • remove message from photos or PDFs by utilizing the Read API
  • transform handwritten text by using Ink Recognizer
  • remove information from kinds or invoices by utilizing the pre-built invoice version in Form Recognizer
  • build and also enhance a customized design for Kind Recognizer

Extract facial information from images

  • spot faces in a picture by utilizing the Face API
  • recognize faces in a picture by using the Face API o configure persons and also individual teams
  • analyze face characteristics by utilizing the Face API
  • suit similar faces by utilizing the Face API

Implement image classification by using the Custom Vision service

  • label images by utilizing the Computer system Vision Website
  • train a customized picture classification version in the Custom-made Vision Site
  • train a personalized photo classification version by using the SDK
  • handle design iterations
  • assess classification design metrics
  • publish a qualified version of a design
  • export a version in a suitable layout for a details target
  • take in a classification model from a customer application
  • release photo classification personalized versions to containers

Implement an object detection solution by using the Custom Vision service

  • label pictures with bounding boxes by using the Computer system Vision Website
  • train a custom item discovery design by using the Custom-made Vision Website
  • train a customized things detection version by using the SDK
  • take care of design iterations
  • review object discovery version metrics
  • publish an experienced iteration of a design
  • consume an item detection model from a client application
  • release personalized item detection designs to containers

Analyze video by using Video Indexer

  • process a video clip
  • extract insights from a video clip
  • moderate content in a video clip
  • personalize the Brands design used by Video Indexer
  • personalize the Language version utilized by Video clip Indexer by
  • utilizing the Custom-made Speech service
  • personalize the Person version used by Video Indexer
  • essence insights from a real-time stream of video clip information

Implement Natural Language Processing Solutions (20-25%)

Analyze text by using the Text Analytics service

  • Retrieve and also refine essential phrases
  • Retrieve and process entity info (individuals, locations, urls, etc.).
  • Retrieve and also process sentiment.
  • Spot the language used in message.

Manage speech by using the Speech service

  • carry out text-to-speech
  • customize text-to-speech
  • carry out speech-to-text
  • enhance speech-to-text precision

Translate language

  • equate text by using the Translator service
  • convert speech-to-speech by using the Speech solution
  • equate speech-to-text by utilizing the Speech service

Build an initial language model by using Language Understanding Service (LUIS)

  • create intents and entities based upon a schema, and then include articulations
  • produce complex hierarchical entities

  • utilize this as opposed to functions
  • train and also release a version

Iterate on and optimize a language model by using LUIS

  • execute expression checklists
  • Execute a design as a feature (i.e. prebuilt entities).
  • Handle spelling as well as diacritics.
  • Carry out active learning.
  • Display as well as right information inequalities.
  • Implement patterns.

Manage a LUIS model

  • Handle partners.
  • Handle versioning.
  • Publish a version with the site or in a container.
  • Export a LUIS plan.
  • Release a LUIS bundle to a container.
  • Incorporate Bot Framework (LUDown) to run beyond the LUIS website.

Implement Knowledge Mining Solutions (15-20%)

Implement a Cognitive Search solution

  • produce information sources
  • specify an index
  • produce and also run an indexer
  • quiz an index
  • configure an index to support autocomplete and autosuggest
  • increase results based upon significance
  • implement basic synonyms

Implement an enrichment pipeline

  • attach a Cognitive Services account to a skillset
  • select and also include integrated skills for documents
  • carry out personalized abilities as well as include them in a skillset

Implement a knowledge store

  • specify file forecasts
  • specify item projections
  • define table forecasts
  • inquiry forecasts

Manage a Cognitive Search solution

  • provision Cognitive Search
  • set up safety and security for Cognitive Look
  • configure scalability for Cognitive Browse

Manage indexing

  • take care of re-indexing
  • restore indexes
  • schedule indexing
  • display indexing
  • implement incremental indexing
  • manage concurrency
  • press information to an index
  • troubleshoot indexing for a pipe

Implement Conversational AI Solutions (15-20%)

Create a knowledge base by using QnA Maker

  • produce a QnA Manufacturer solution
  • create a knowledge base
  • import an understanding bas
  • train and examination a knowledge base
  • release a knowledge base
  • create a multi-turn conversation
  • add alternating wording
  • add chit-chat to a data base
  • export a data base
  • add active finding out to a knowledge base
  • take care of collaborators

Design and implement conversation flow

  • style conversation logic for a bot
  • Create and also examine *. conversation file discussions by utilizing
  • the Bot Structure Emulator
  • include language generation for a response
  • style as well as carry out adaptive cards

Create a bot by using the Bot Framework SDK

  • carry out dialogs
  • keep state
  • apply logging for a robot discussion
  • execute a prompt for individual input
  • include and also review crawler telemetry
  • implement a bot-to-human handoff
  • repair a conversational robot
  • include a customized middleware for processing user messages
  • handle identity and also authentication
  • apply channel-specific logic
  • publish a bot

Create a bot by using the Bot Framework Composer

  • carry out dialogs
  • maintain state
  • execute logging for a robot conversation
  • apply motivates for individual input
  • repair a conversational crawler
  • test a bot by using the Crawler Structure Emulator
  • release a crawler

Integrate Cognitive Services into a bot

  • integrate a QnA Manufacturer solution
  • incorporate a LUIS solution
  • incorporate a Speech solution
  • integrate Dispatch for several language models
  • take care of keys in application setups documents

To know more on Microsoft Certified: Azure AI Engineer Associate official site, click here.

To know more about other courses in IT Academy, click here.

whatsaapnow
Quick Enquiry

    situs daftar slot online