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Microsoft Certified: Azure AI Engineer Associate (AI102)

This four-day Microsoft certified course is designed to teach software developers how to create AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure. 

This training is a comprehensive preparation for the AI-102: Designing and Implementing a Microsoft Azure AI Solution exam to earn the Microsoft Certified: Azure AI Engineer Associate certification.

Microsoft

Applicable solutions

Public class

Duration: 
4 days / 28 hours

Private class

Virtual classroom
Minimum no. of participants: 5
4 days / 28 hours
Price on request
English or French
Training plan: 

Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)

Module 1: Prepare for AI engineering

  • Define artificial intelligence
  • Understand AI-related terms
  • Understand considerations for AI Engineers
  • Understand considerations for responsible AI
  • Understand capabilities of Azure Machine Learning
  • Understand capabilities of Azure Cognitive Services
  • Understand capabilities of the Azure Bot Service
  • Understand capabilities of Azure Cognitive Search

Module 2: Provision and manage Azure Cognitive Services

  • Create and consume Cognitive Services
  • Secure Cognitive Services
  • Monitor Cognitive Services
  • Deploy cognitive services in containers

Module 3: Process and translate text with Azure Cognitive Services

  • Extract insights from text with the Language service
  • Translate text with the Translator service

Module 4: Process and Translate Speech with Azure Cognitive Speech Services

  • Create speech-enabled apps with the Speech service
  • Translate speech with the speech service

Module 5: Create a Language Understanding solution with Azure Cognitive Services

  • Build a Language Understanding model
  • Publish and use a Language Understanding app

Module 6: Build a question answering solution

  • Understand question answering
  • Compare question answering to language understanding
  • Create a knowledge base
  • Implement multi-turn conversation
  • Test and publish a knowledge base
  • Use a knowledge base
  • Improve question answering performance
  • Create a question answering bot

Module 7: Create conversational AI solutions

  • Create a bot with the Bot Framework SDK
  • Create a Bot with the Bot Framework Composer

Module 8: Create computer vision solutions with Azure Cognitive Services

  • Analyze images
  • Analyze video
  • Classify images
  • Detect objects in images
  • Detect, analyze, and recognize faces

Module 9: Extract text from images and documents

  • Read Text in Images and Documents with the Computer Vision Service
  • Extract data from forms with Form Recognizer

Module 10: Implement knowledge mining with Azure Cognitive Search

  • Create an Azure Cognitive Search solution
  • Create a custom skill for Azure Cognitive Search
  • Create a knowledge store with Azure Cognitive Search
  • Enrich a search index using Language Studio
  • Implement advanced search features in Azure Cognitive Search
  • Build an Azure Machine Learning custom skill for Azure Cognitive Search
  • Search data outside the Azure platform in Azure Cognitive Search using Azure Data Factory
  • Maintain an Azure Cognitive Search solution
Exclusives: 
  • One FREE attendance to the Microsoft Certified: Azure Data Fundamentals (DP900) training
  • One year access to the class recording
  • 180 days access to the lab environment after class
  • One voucher to take the exam
  • Up to date courseware with Microsoft Learn
  • Microsoft course achievement badge
Prerequisites: 

Before attending this course, students must have:

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics
Certification information: 

Exam characteristics:

  • Exam code: AI-102
  • Cost: $0 (included in your training)
  • 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
  • All details... 
Eccentrix Corner writing/whitepaper: 

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