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Designing and Implementing a Microsoft Azure AI Solution

3 days
ai-102
3 days

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Prepare to develop AI solutions on Azure

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 Cognitive Services
  • Understand capabilities of the Azure Bot Service
  • Understand capabilities of Azure Cognitive Search

Create and consume Cognitive Services

Create and consume Cognitive Services

  • Provision a cognitive services resource
  • Identify endpoints and keys
  • Use a REST API
  • Use an SDK
  • Exercise - Use cognitive services

Secure Cognitive Services

Secure Cognitive Services

  • Consider authentication
  • Implement network security
  • Exercise - Manage Cognitive Services Security

Monitor Cognitive Services

Monitor Cognitive Services

  • Monitor cost
  • Create alerts
  • View metrics
  • Manage diagnostic logging
  • Exercise - Monitor Cognitive Services

Deploy cognitive services in containers

Deploy cognitive services in containers

  • Understand containers
  • Use Cognitive Services containers
  • Exercise - Use a container

Extract insights from text with the Language service

Extract insights from text with the Language service

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

Translate text with the Translator service

Translate text with the Translator service

  • Provision a Translator resource
  • Specify translation options
  • Define custom translations
  • Exercise - Translate text with the Translator service

Create speech-enabled apps with the Speech service

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
  • Exercise - Create a speech-enabled app

Translate speech with the speech service

Translate speech with the speech service

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

Build a Language Understanding model

The Language Understanding service enables you to train a language model that apps can use to extract meaning from natural language.

  • 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
  • Exercise - Build a Language Understanding model

Publish and use a Language Understanding app

After creating a Language Understanding app, you can publish it and consume it from client applications.

  • Understand capabilities of the Language service
  • Process predictions
  • Use a container
  • Exercise - Create a Language Understanding app

Build a question answering solution

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
  • Exercise - Create a question answering solution

Create a bot with the Bot Framework SDK

Learn how to build a bot by using the Microsoft Bot Framework SDK.

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

Create a Bot with the Bot Framework Composer

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
  • Exercise - Create a bot with the Bot Framework Composer

Analyze images

Analyze images

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

Analyze video

Analyze video

  • Understand Video Analyzer for Media capabilities
  • Extract custom insights
  • Use Video Analyzer widgets and APIs
  • Exercise - Analyze video

Classify images

Classify images

  • Provision Azure resources for custom vision
  • Understand image classification
  • Train an image classifier
  • Exercise - Classify images with custom vision

Detect objects in images

Detect objects in images

  • Understand object detection
  • Train an object detector
  • Consider options for labeling images
  • Exercise - Detect objects in images with custom vision

Detect, analyze, and recognize faces

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
  • Exercise - Detect, analyze, and identify faces

Read Text in Images and Documents with the Computer Vision Service

Azure's Computer Vision service uses advanced algorithms to process images and return information based on the visual features you're interested in. This module teaches you how to use the Azure Computer Vision's Read API.

  • Explore Computer Vision options for reading text
  • Use the Read API
  • Exercise - Read text in images
  • Knowledge Check

Extract data from forms with Form Recognizer

Form Recognizer extracts data at scale to enable the submission of documents in real time, at scale, with accuracy. This module gives users the tools to use the Azure Form Recognizer vision API.

  • What is Form Recognizer?
  • Get started with Form Recognizer
  • Understand prebuilt models
  • Train custom models
  • Use Form Recognizer models
  • Exercise - Extract data from custom forms
  • Use the Form Recognizer Studio

Create an Azure Cognitive Search solution

Create an Azure Cognitive Search solution

  • Azure resources
  • Search components
  • Understand the indexing process
  • Search an index
  • Apply filtering and sorting
  • Enhance the index
  • Exercise - Create a search solution

Create a custom skill for Azure Cognitive Search

Create a custom skill for Azure Cognitive Search

  • Create a custom skill
  • Add a custom skill to a skillset
  • Exercise - Implement a custom skill

Create a knowledge store with Azure Cognitive Search

Create a knowledge store with Azure Cognitive Search

  • Define projections
  • Define a knowledge store
  • Exercise - Create a knowledge store

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

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