Designing and Implementing a Microsoft Azure AI Solution (AI-102)

Course Overview

1 - Prepare to develop AI solutions on Azure

• Define artificial intelligence
• Understand AI-related terms
• Understand considerations for AI Engineers
• Understand considerations for responsible AI
• Understand capabilities of Azure Machine Learning
• Understand capabilities of Azure AI Services
• Understand capabilities of the Azure Bot Service
• Understand capabilities of Azure Cognitive Search

2 - Create and consume Azure AI Services

• Provision an Azure AI Services resource
• Identify endpoints and keys
• Use a REST API
• Use an SDK

3 - Secure Azure AI Services

• Consider authentication
• Implement network security

4 - Monitor Azure AI Services

• Monitor cost
• Create alerts
• View metrics
• Manage diagnostic logging

5 - Deploy Azure AI services in containers

• Understand containers
• Use Azure AI Services containers

6 - Extract insights from text with the Language service

• Provision a Language resource
• Detect language
• Extract key phrases
• Analyze sentiment
• Extract entities
• Extract linked entities

7 - Translate text with the Translator service

• Provision a Translator resource
• Specify translation options
• Define custom translations

8 - Create speech-enabled apps with the Speech service

• Provision an Azure resource for speech
• Use the Speech to text API
• Use the text to speech API
• Configure audio format and voices
• Use Speech Synthesis Markup Language

9 - Translate speech with the speech service

• Provision an Azure resource for speech translation
• Translate speech to text
• Synthesize translations

10 - Build a Language Understanding model

• Understand resources for building a language understanding model
• Define intents, utterances, and entities
• Use patterns to differentiate similar utterances
• Use pre-built entity components
• Train, test, publish, and review a Language Understanding model

11 - Publish and use a Language Understanding app

• Understand capabilities of the Language service
• Process predictions
• Use a container

12 - Build a question answering solution

• Understand question answering
• Compare question answering to language understanding
• Create a knowledge base
• Implement multi-turn conversation
• Test and publish a knowledge base
• Use a knowledge base
• Improve question answering performance
• Create a question answering bot

13 - Create a bot with the Bot Framework SDK

• Introduce principles of bot design
• Get started with the Bot Framework SDK
• Implement activity handlers and dialogs
• Deploy a bot

14 - Create a Bot with the Bot Framework Composer

• Understand ways to build a bot
• Get started with the Bot Framework Composer
• Understand dialogs
• Understand adaptive flow
• Design the user experience

15 - Analyze images

• Provision a Computer Vision resource
• Analyze an image
• Generate a smart-cropped thumbnail

16 - Analyze video

• Understand Video Analyzer for Media capabilities
• Extract custom insights
• Use Video Analyzer widgets and APIs

17 - Classify images

• Provision Azure resources for custom vision
• Understand image classification
• Train an image classifier

18 - Detect objects in images

• Understand object detection
• Train an object detector
• Consider options for labeling images

19 - Detect, analyze, and recognize faces

• Identify options for face detection analysis and identification
• Understand considerations for face analysis
• Detect faces with the computer vision service
• Understand capabilities of the face service
• Compare and match detected faces
• Implement facial recognition

20 - Read Text in Images and Documents with the Azure AI Vision Service

• Explore Computer Vision options for reading text
• Use the Read API

21 - Extract data from forms with Azure Document Intelligence

• What is Azure Document Intelligence?
• Get started with Azure Document Intelligence
• Understand prebuilt models
• Train custom models
• Use Azure Document Intelligence models
• Use the Azure Document Intelligence Studio

22 - Create an Azure Cognitive Search solution

• Azure resources
• Search components
• Understand the indexing process
• Search an index
• Apply filtering and sorting
• Enhance the index

23 - Create a custom skill for Azure Cognitive Search

• Create a custom skill
• Add a custom skill to a skillset

24 - Create a knowledge store with Azure Cognitive Search

• Define projections
• Define a knowledge store

Prerequisites

Before attending this course, students must have:

• Knowledge of Microsoft Azure and ability to navigate the Azure portal
• Knowledge of either C# or Python
• Familiarity with JSON and REST programming semantics
  Recommended course prerequisites
• AI-900T00: Microsoft Azure AI Fundamentals course

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