Designing and Implementing an Azure AI Solution (AI-100)

Level: Intermediate

In this official Microsoft Azure AI training course, students will get an introduction to Azure Cognitive Services. During the three-day course they will build a customer support chat Bot that uses artificial intelligence from the Microsoft Azure platform and enhance their Bots with QnA Maker and LUIS (Language Understanding Intelligent Service). Finally, this Azure AI training course will examine integrating Bots and Agents with Azure Cognitive Services for more advanced features.

Plus, this course also prepares you for Microsoft exam AI-100. Pass this exam and achieve Microsoft Certified: Azure AI Engineer Associate certification.

Key features of this Microsoft Azure AI Training:

  • Microsoft Official Course content
  • Eligible for SATV redemption

You Will Learn How To:

  • Learn about creating a basic Chat Bot
  • Learn about integrating bots with LUIS
  • Learn how to integrate Cognitive Services with Bots

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  • 3-day instructor-led training course
  • Microsoft Certified training
  • SATV eligible
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  • Jul 17 - 19 ( 3 Days)
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Microsoft Azure AI Course Information

  • Requirements

    Azure Fundamentals and C# Knowledge
  • Who Should Attend This Course

    This course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.
  • Exam Information

    This course prepares you to take the AI-100: Designing and Implementing an Azure AI

Microsoft Azure AI Course Outline

  • Module 1: Introducing Azure Cognitive Services

    The student will learn about the available Cognitive Services on Microsoft Azure and their role in architecting AI solutions.

    Lessons

    • Overview of Azure Cognitive Services
    • Creating a Cognitive Service on the Azure Portal
    • Access and Test a Cognitive Service
  • Module 2: Creating Bots

    The student will learn about the Microsoft Bot Framework and Bot Services. Lessons
    • Introducing the Bot Service
    • Creating a Basic Chat Bot
    • Testing with the Bot Emulator
  • Module 3: Enhancing Bots with QnA Maker

    The student will learn about the QnA Maker and how to integrate Bots and QnA Maker to build up a useful knowledge base for user interactions.

    Lessons

    • Introducing QnA Maker
    • Implement a Knowledge Base with QnA Maker
    • Integrate QnA with a Bot
  • Module 4: Learn How to Create Language Understanding Functionality with LUIS

    The student will learn about LUIS and how to create intents and utterances to support a natural language processing solution.

    Lessons

    • Introducing Language Understanding
    • Create a new LUIS Service
    • Build Language Understanding with Intents and Utterances
  • Module 5: Enhancing Your Bots with LUIS

    The student will learn about integrating LUIS with a Bot to better understand the users’ intentions when interacting with the Bot.

    Lessons

    • Overview of language understanding for AI applications
    • Integrate LUIS and Bot to create an AI-based solution
  • Module 6: Integrate Cognitive Services with Bots and Agents

    The student will learn about integrating Bots and Agents with Azure Cognitive Services for advanced features such as sentiment analysis, image and text analysis, and OCR and object detection.

    Lessons

    • Understand Cognitive Services for Bot Interactions
    • Perform Sentiment Analysis for your Bot with Text Analytics
    • Detect Language in a Bot with the Language Cognitive Services
    • Integrate Computer Vision with Bots

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Microsoft Azure AI Training FAQs

  • What certification does this course prepare you for?

    This course prepares you for the Azure AI Engineer Associate Certification.
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