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

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

Course 8589

Duration: 4 days
Language: English
Level: Intermediate

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 Microsoft Azure AI Solution Training course will use C# or Python as the programming language.

Microsoft Azure AI Solution Training Delivery Methods

In-Person
Online

Microsoft Azure AI Solution Training Information

In this course, you will learn how to:

Understand AI Solution Requirements
Design AI Solutions
Build and Train AI Models
Deploy AI Models
Integrate AI Models into Applications
Monitor and Maintain AI Solutions
Work with Cognitive Services
Implement Natural Language Processing (NLP) Solutions
Build Conversational AI Solutions
Understand Responsible AI Practices
Security and Compliance in AI Solutions

Training Prerequisites

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing Microsoft Azure AI Fundamentals Training (AI-900) before taking this one. You should already 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

Certification Information

This course can help you prepare for the following Microsoft role-based certification exam — Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.

Microsoft Azure AI Solution Training Outline

Module 1: Prepare to develop AI solutions on Azure

As an aspiring Azure AI Engineer, you should understand core concepts and principles of AI development, and the capabilities of Azure services used in AI solutions.

Lessons

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

Azure Cognitive Services enable developers to easily add AI capabilities into their applications. Learn how to create and consume these services.

Lessons

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

Securing Cognitive Services can help prevent data loss and privacy violations for user data that may be a part of the solution.

Lessons

Consider authentication for Cognitive Services
Manage network security for Cognitive Services

Module 4: Monitor Cognitive Services

Azure Cognitive Services enable you to integrate artificial intelligence into your applications and services. It's important to be able to monitor Cognitive Services in order to track utilization, determine trends, and detect and troubleshoot issues.

Lessons

Monitor Cognitive Services costs
Create alerts
View metrics
Manage diagnostic logging

Module 5: Deploy cognitive services in containers

Learn about Container support in Cognitive Services allowing the use of APIs available in Azure and enable flexibility in where to deploy and host the services with Docker containers.

Lessons

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

The Language service enables you to create intelligent apps and services that extract semantic information from text.

Lessons

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

Module 7: Translate text with the Translator service

The Translator service enables you to create intelligent apps and services that can translate text between languages.

Lessons

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

The Speech service enables you to build speech-enabled applications. This module focuses on using the speech-to-text and text-to-speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis.

Lessons

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

Translation of speech builds on speech recognition by recognizing and transcribing spoken input in a specified language, and returning translations of the transcription in one or more other languages.

Lessons

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

Module 10: 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.

Lessons

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

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

Lessons

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

The question-answering capability of the Language service makes it easy to build applications in which users ask questions using natural language and receive appropriate answers.

Lessons

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

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

Lessons

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

User the Bot Framework Composer to quickly and easily build sophisticated conversational bots without writing code.

Lessons

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

Module 15: Analyze images

With the Computer Vision service, you can use pre-trained models to analyze images and extract insights and information from them.

Lessons

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

Module 16: Analyze video

Azure Video Analyzer for Media is a service to extract insights from video, including face identification, text recognition, object labels, scene segmentations, and more.

Lessons

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

Module 17: Classify images

Image classification is used to determine the main subject of an image. You can use the Custom Vision services to train a model that classifies images based on your own categorizations.

Lessons

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

Module 18: Detect objects in images

Object detection is used to locate and identify objects in images. You can use Custom Vision to train a model to detect specific classes of object in images.

Lessons

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

The ability for applications to detect human faces, analyze facial features and emotions, and identify individuals is a key artificial intelligence capability.

Lessons

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

Azure's Computer Vision service uses algorithms to process images and return information. This module teaches you how to use the Read API for optical character recognition (OCR).

Lessons

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

Form Recognizer uses machine learning technology to identify and extract key-value pairs and table data from form documents with accuracy, at scale. This module teaches you how to use the Azure Form Recognizer cognitive service.

Lessons

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

Unlock the hidden insights in your data with Azure Cognitive Search.

Lessons

Create an Azure Cognitive Search solution
Develop a search application

Module 23: Create a custom skill for Azure Cognitive Search

Use the power of artificial intelligence to enrich your data and find new insights.

Lessons

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

Persist the output from an Azure Cognitive Search enrichment pipeline for independent analysis or downstream processing.

Lessons

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

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Microsoft Azure AI Solution Training FAQs

Students interested in building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Students should be 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.

Yes! This class prepares you for the Microsoft Certified: Azure AI Engineer Associate Exam AI-102.

Yes! We recommend you take course 1904, Python Fundamentals Training for Non-Programmers.

We recommend you consider course 8580, Microsoft Azure AI Fundamentals Training (AI-900) before taking AI-102.

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

Microsoft Azure AI Solution Training Delivery Methods

Microsoft Azure AI Solution Training Information

Microsoft Azure AI Solution Training Outline

Module 1: Prepare to develop AI solutions on Azure

Module 2: Create and consume Cognitive Services

Module 3: Secure Cognitive Services

Module 4: Monitor Cognitive Services

Module 5: Deploy cognitive services in containers

Module 6: Extract insights from text with the Language service

Module 7: Translate text with the Translator service

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

Module 9: Translate speech with the speech service

Module 10: Build a Language Understanding model

Module 11: Publish and use a Language Understanding app

Module 12: Build a question answering solution

Module 13: Create a bot with the Bot Framework SDK

Module 14: Create a Bot with the Bot Framework Composer

Module 15: Analyze images

Module 16: Analyze video

Module 17: Classify images

Module 18: Detect objects in images

Module 19: Detect, analyze, and recognize faces

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

Module 21: Extract data from forms with Form Recognizer

Module 22: Create an Azure Cognitive Search Solution

Module 23: Create a custom skill for Azure Cognitive Search

Module 24: Create a knowledge store with Azure Cognitive Search

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Upgrade your course experience with: Subscriptions

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Microsoft Azure AI Solution Training FAQs

Who should take this Azure AI training?

Does this class prepare you for a Microsoft Certification?

What if I have no programming experience, is there a recommended pre-requisite class?

What if I am new to artificial intelligence, and want an overview of AI capabilities on Azure?

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