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Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)

SS Course: GK101000

Course Overview

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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.

One Microsoft exam voucher included with class.

                                                                  

Scheduled Classes

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03/13/23 - GVT - Virtual Classroom - Virtual Instructor-Led
06/12/23 - GVT - Virtual Classroom - Virtual Instructor-Led

Outline

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

Module 2 :Create and consume Cognitive Services

  • Provision Cognitive Services resources in an Azure subscription.
  • Identify endpoints, keys, and locations required to consume a Cognitive Services resource.
  • Use a REST API to consume a cognitive service.
  • Use an SDK to consume a cognitive service.

Module 3 :Secure Cognitive Services

  • Consider authentication for Cognitive Services
  • Manage network security for Cognitive Services

Module 4 :Monitor Cognitive Services

  • Monitor Cognitive Services costs
  • Create alerts
  • View metrics
  • Manage diagnostic logging

Module 5 : Deploy cognitive services in containers

  • Create Containers for Reuse
  • Deploy to a Container
  • Secure a Container
  • Consume Cognitive Services from a Container

Module 6 : Extract insights from text with the Language service

  • Detect language
  • Extract key phrases
  • Analyze sentiment
  • Extract entities
  • Extract linked entities

Module 7 : Translate text with the Translator service

  • Provision a Translator resource
  • Understand language detection, translation, and transliteration
  • Specify translation options
  • Define custom translations

Module 8 : Create speech-enabled apps with the Speech service

  • Provision an Azure resource for the Speech service
  • Use the Speech-to-Text API to implement speech recognition
  • Use the Text-to-Speech API to implement speech synthesis
  • Configure audio format and voices
  • Use Speech Synthesis Markup Language (SSML)

Module 9 : Translate speech with the speech service

  • Provision Azure resources for speech translation.
  • Generate text translation from speech.
  • Synthesize spoken translations.

Module 10 : Build a Language Understanding model

  • Provision Azure resources for Language Understanding
  • 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

Module 11 : Publish and use a Language Understanding app

  • Understand capabilities of a Language Understanding app
  • Process predictions from a Language Understanding app
  • Deploy a language understanding app in a container

Module 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
  • Consume a knowledge base
  • Implement active learning
  • Create a question answering bot

Module 13 : Create a bot with the Bot Framework SDK

  • Understand principles of bot design
  • Use the Bot Framework SDK to build a bot
  • Deploy a bot to Azure

Module 14 : Create a Bot with the Bot Framework Composer

  • Understand dialogs
  • Plan conversational flow
  • Design the user experience
  • Create a bot with the Bot Framework Composer

Module 15 : Analyze images

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

Module 16 : Analyze video

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

Module 17 : Classify images

  • Provision Azure resources for Custom Vision
  • Understand image classification
  • Train an image classifier

Module 18 : Detect objects in images

  • Provision Azure resources for Custom Vision
  • Understand object detection
  • Train an object detector
  • Consider options for labeling images

Module 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

Module 20 : Read Text in Images and Documents with the Computer Vision Service

  • Read text from images with the Read API
  • Use the Computer Vision service with SDKs and the REST API
  • Develop an application that can read printed and handwritten text

Module 21 : Extract data from forms with Form Recognizer

  • Identify how Form Recognizer's layout service, prebuilt models, and custom service can automate processes
  • Use Form Recognizer's Optical Character Recognition (OCR) capabilities with SDKs, REST API, and Form Recognizer Studio
  • Develop and test custom models

Module 22 : Create an Azure Cognitive Search solution

  • Create an Azure Cognitive Search solution
  • Develop a search application

Module 23 : Create a custom skill for Azure Cognitive Search

  • Implement a custom skill for Azure Cognitive Search
  • Integrate a custom skill into an Azure Cognitive Search skillset

Module 24 : Create a knowledge store with Azure Cognitive Search

  • Create a knowledge store from an Azure Cognitive Search pipeline
  • View data in projections in a knowledge store

    Prerequisites

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    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

    To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

    If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.

      Who Should Attend

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      Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs?to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.