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AI-100: Designing and Implementing an Azure AI Solution Training & Certification Course

Overview

Build 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.

Audience profile

Designing and Implementing an Azure AI Solution Certification Course is aimed at Cloud Solution Architects, Azure artificial intelligence designers, and AI developers.

This exam is for the AI Engineer role and the Microsoft Certified: Azure AI Engineer Associate certification. Candidates for this exam analyze requirements for AI cloud-based and hybrid AI solutions, recommends appropriate tools and technologies, and implements solutions that meet scalability and performance requirements. Candidates are aware of the various components that make up the Microsoft Azure AI portfolio, related open-source frameworks and technologies, and available data storage options. Candidates use their understanding of cost models, capacity, and best practices to architect and implement AI solutions. Candidates should have a working knowledge of basic statistics, data ethics, and data privacy.

Prerequisite

Azure Fundamentals, Understanding of Azure storage technologies

Recommended Course

DP-200: Implementing an Azure Data Solution

Full Description

 AI-100T01-A: Designing and Implementing an Azure AI Solution

 

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

  1.  Overview of Azure Cognitive Services
  2.  Creating a Cognitive Service on the Azure Portal
  3.  Access and Test a Cognitive Service

 

Module 2: Creating Bots

The student will learn about the Microsoft Bot Framework and Bot Services.

Lessons

  1.  Introducing the Bot Service
  2.  Creating a Basic Chat Bot
  3.  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

  1.  Introducing QnA Maker
  2.  Implement a Knowledge Base with QnA Maker
  3.  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

  1.  Introducing Language Understanding
  2.  Create a new LUIS Service
  3.  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

  1.  Overview of language understanding for AI applications
  2.  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

  1.  Understand Cognitive Services for Bot Interactions
  2.  Perform Sentiment Analysis for your Bot with Text Analytics
  3.  Detect Language in a Bot with the Language Cognitive Services
  4.  Integrate Computer Vision with Bots

Fees & Schedule

Delivery ModeCourse DurationFees
Live Virtual Training 3 DaysAsk for Quote
Onsite Classroom Training 3 DaysAsk for Quote
Customized Training 3 DaysAsk for Quote

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