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Microsoft

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

  • Duration: 3 days
  • Job Role: AI Engineer
  • Exam: AI-100

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

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Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.

Audience Profile

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

Prerequisites

  • Before attending this course, students must have a fundamental knowledge of Azure Fundamentals.
  • Understanding of Azure storage technologies.
  • C# Knowledge.

Course outline

Module 1: Introducing Azure Cognitive Services
Module Overview

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on Azure cognitive cervices.

Module 2: Creating Bots
Module Overview

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on creating bots.

Module 3: Enhancing Bots with QnA Maker
Module Overview

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on enhancing bots with QnA Maker.

Module 4: Learn How to Create Language Understanding Functionality with LUIS
Module Overview

The student will learn about Language Understanding with Intents and Utterances (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 LUIS

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on how to create language understanding functionality with LUIS.

Module 5: Enhancing Your Bots with LUIS
Module Overview

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on enhancing your bots with LUIS.

Module 6: Integrate Cognitive Services with Bots and Agents
Module Overview

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

Lab Sessions

Not available for this module

Lab Lessons

Lab lessons not available

After completing this module, students will be able to:

Knowledge on integrate cognitive services with bots and agents.

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