Designing and Implementing an Azure AI Solution

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.

Before attending this course, students must have:

Azure Fundamentals

C# Knowledge

• Describe considerations for creating AI-enabled applications
• Identify Azure services for AI application development
• Provision and consume cognitive services in Azure
• Manage cognitive services security
• Monitor cognitive services
• Use a cognitive services container
• Use the Text Analytics cognitive service to analyze text
• Use the Translator cognitive service to translate text
• Use the Speech cognitive service to recognize and synthesize speech
• Use the Speech cognitive service to translate speech
• Create a Language Understanding app
• Create a client application for Language Understanding
• Integrate Language Understanding and Speech
• Use QnA Maker to create a knowledge base
• Use a QnA knowledge base in an app or bot
• Use the Bot Framework SDK to create a bot
• Use the Bot Framework Composer to create a bot
• Use the Computer Vision service to analyze images
• Use Video Indexer to analyze videos
• Use the Custom Vision service to implement image classification
• Use the Custom Vision service to implement object detection
• Detect faces with the Computer Vision service
• Detect, analyze, and recognize faces with the Face service
• Use the Computer Vision service to read text in images and documents
• Use the Form Recognizer service to extract data from digital forms
• Create an intelligent search solution with Azure Cognitive Search
• Implement a custom skill in an Azure Cognitive Search enrichment pipeline
• Use Azure Cognitive Search to create a knowledge store

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

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.

 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.

 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.

 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.

 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.

 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.

 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