Designing and Implementing an Azure AI Solution (AI 102)


Course Number: MOC-AI-102

Duration: 4 days (26 hours)

Format: Live, hands-on

Azure AI Training Overview

This official Microsoft Course, AI-102: Designing and Implementing an Azure AI Solution training, teaches attendees how to design an Azure Artificial Intelligence solution. Attendees learn how to build a customer support chatbot using artificial intelligence on the Microsoft Azure platform, including language understanding and pre-built AI functionality in Azure Cognitive Services. This course prepares students for the AI-102 exam for which every attendee receives a voucher.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some Microsoft courses are available as live, online classes for individuals.

Objectives

  • Use cognitive services
  • Use a container
  • Translate text with the Translator service
  • Create a speech-enabled app
  • Create a language understanding app
  • Create a question answering bot
  • Analyze images with Computer Vision
  • Analyze video
  • Read text in images
  • Create a search solution
  • Implement a custom skill
  • Create a knowledge store

Prerequisites

  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics

Outline

Expand All | Collapse All

Introduction
Prepare to Develop AI Solutions on Azure
  • Define artificial intelligence
  • AI-related terms
  • AI Engineers
  • Responsible AI
  • Azure Machine Learning
  • Azure Cognitive Services
  • Azure Bot Service
  • Azure Cognitive Search
Create and Consume Cognitive Services
  • Provision cognitive services resource
  • Identify endpoints and keys
  • Use a REST API
  • Use an SDK
  • Use cognitive services
Secure Cognitive Services
  • Consider authentication
  • Implement network security
  • Manage Cognitive Services Security
Monitor Cognitive Services
  • Monitor cost
  • Create alerts
  • View metrics
  • Manage diagnostic logging
  • Monitor Cognitive Services
Deploy Cognitive Services in Containers
  • Understand containers
  • Use Cognitive Services containers
  • Use a container
Extract Insights from Text with the Language Service
  • Provision a language resource
  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Extract entities
  • Extract linked entities
  • Analyze text
Translate Text with the Translator Service
  • Provision a Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations
  • Translate text with the Translator 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
  • Create a speech-enabled app
Translate Speech with the Speech Service
  • Provision an Azure resource for speech translation
  • Translate speech to text
  • Synthesize translations
  • Translate speech
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
  • Build a Language Understanding model
Publish and use a Language Understanding App
  • Understand the capabilities of the Language service
  • Process predictions
  • Use a container
  • Create a Language Understanding app
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
  • Create a question answering solution
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
  • Create a bot with the Bot Framework SDK
Analyze Images
  • Provision a Computer Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail
  • Analyze images with Computer Vision
Analyze Video
  • Understand Video Analyzer for Media capabilities
  • Extract custom insights
  • Use Video Analyzer widgets and APIs
  • Analyze video
Classify Images
  • Provision Azure resources for custom vision
  • Understand image classification
  • Train an image classifier
  • Classify images with custom vision
Detect Objects in Images
  • Understand object detection
  • Train an object detector
  • Consider options for labeling images
  • Detect objects in images with custom vision
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 the capabilities of the face service
  • Compare and match detected faces
  • Implement facial recognition
  • Detect, analyze, and identify faces
Read Text in Images and Documents with the Computer Vision Service
  • Explore Computer Vision options for reading text
  • Use the Read API
  • Read text in images
Extract Data from Forms with Form Recognizer
  • What is Form Recognizer?
  • Get started with Form Recognizer
  • Understand prebuilt models
  • Train custom models
  • Use Form Recognizer models
  • Extract data from custom forms
  • Use the Form Recognizer Studio
Create an Azure Cognitive Search Solution
  • Azure resources
  • Search components
  • Understand the indexing process
  • Search an index
  • Apply filtering and sorting
  • Enhance the index
  • Create a search solution
Create a custom skill for Azure Cognitive Search
  • Create a custom skill
  • Add a custom skill to a skillset
  • Implement a custom skill
Create a knowledge store with Azure Cognitive Search
  • Define projections
  • Define a knowledge store
  • Create a knowledge store
Conclusion

Training Materials

All Microsoft AI Azure training students receive Microsoft official courseware.

For all Microsoft Official Courses taught in their entirety that have a corresponding certification exam, an exam voucher is included for each participant.

Software Requirements

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser and a stable Internet connection. Any recent version of Microsoft Edge, Mozilla Firefox, or Google Chrome will be fine.



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