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AI100: Designing and Implementing an Azure AI Solution

Guaranteed to Run Scheduled Fully Booked
Location
Auckland
Apr 2020
15
Code: AI100
Length: 3 Days
Overview

Build a customer support chat Bot that use artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.

Delivery format(s)
On-Site
On-Site
Classroom
Classroom
Anywhere
Anywhere
OBJECTIVES
In this course you will learn how to build a customer support chat Bot that use artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.
PREREQUISITES

Before attending this course, students must have:

  • Azure Fundamentals
  • C# Knowledge
WHAT YOU’LL LEARN
  • Analyze Solution Requirements
  • Design Solutions
  • Integrate AI models into solutions
  • Deploy and manage solutions
  • WHO SHOULD ATTEND

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

    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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