AI-102T00: Designing and Implementing a Microsoft Azure AI Solution Training Course

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is becoming central to modern applications and services. In this module, you will explore common AI capabilities available for integration into your apps and examine how these are implemented within Microsoft Azure. Additionally, you will review key considerations for designing and implementing AI solutions in a responsible manner.

Lessons

• Introduction to Artificial Intelligence

• Artificial Intelligence in Azure

By the end of this module, learners will be able to:

• Outline the considerations for developing AI-enabled applications

• Identify the Azure services suitable for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services serve as the fundamental components for integrating AI capabilities into applications. During this module, you will learn how to provision, secure, monitor, and deploy these cognitive services.

Lessons

• Getting Started with Cognitive Services

• Using Cognitive Services for Enterprise Applications

Lab : Get Started with Cognitive Services

Lab : Manage Cognitive Services Security

Lab : Monitor Cognitive Services

Lab : Use a Cognitive Services Container

Upon completion of this module, learners will be able to:

• Provision and consume cognitive services in Azure

• Manage the security of cognitive services

• Monitor cognitive service performance

• Utilize a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language Processing (NLP) is a field of AI focused on deriving insights from written or spoken language. In this module, you will learn how to leverage cognitive services to analyze and translate text.

Lessons

• Analyzing Text

• Translating Text

Lab : Translate Text

Lab : Analyze Text

By the end of this module, learners will be able to:

• Analyze text using the Text Analytics cognitive service

• Translate text using the Translator cognitive service

Module 4: Building Speech-Enabled Applications

Many contemporary applications and services accept spoken input and can respond through text synthesis. This module continues the exploration of natural language processing by teaching how to build applications capable of handling speech.

Lessons

• Speech Recognition and Synthesis

• Speech Translation

Lab : Recognize and Synthesize Speech

Lab : Translate Speech

Upon completing this module, learners will be able to:

• Recognize and synthesize speech using the Speech cognitive service

• Translate speech using the Speech cognitive service

Module 5: Creating Language Understanding Solutions

To develop an application that intelligently comprehends and responds to natural language, a language understanding model must be defined and trained. In this module, you will learn how to use the Language Understanding service to create an app that identifies user intent from natural language inputs.

Lessons

• Creating a Language Understanding App

• Publishing and Using a Language Understanding App

• Using Language Understanding with Speech

Lab : Create a Language Understanding Client Application

Lab : Create a Language Understanding App

Lab : Use the Speech and Language Understanding Services

After finishing this module, learners will be able to:

• Create a Language Understanding application

• Develop a client application for Language Understanding

• Integrate Language Understanding with Speech capabilities

Module 6: Building a QnA Solution

A prevalent form of interaction between users and AI agents involves users asking questions in natural language and the agent providing intelligent, relevant answers. This module explores how the QnA Maker service facilitates the development of such solutions.

Lessons

• Creating a QnA Knowledge Base

• Publishing and Using a QnA Knowledge Base

Lab : Create a QnA Solution

By the end of this module, learners will be able to:

• Create a knowledge base using QnA Maker

• Incorporate a QnA knowledge base into an application or bot

Module 7: Conversational AI and the Azure Bot Service

Bots form the foundation of a growing category of AI applications where users converse with AI agents, often mimicking interactions with human counterparts. In this module, you will examine the Microsoft Bot Framework and the Azure Bot Service, which together offer a platform for creating and delivering conversational experiences.

Lessons

• Bot Basics

• Implementing a Conversational Bot

Lab : Create a Bot with the Bot Framework SDK

Lab : Create a Bot with Bot Framework Composer

Upon completing this module, learners will be able to:

• Create a bot using the Bot Framework SDK

• Create a bot using the Bot Framework Composer

Module 8: Getting Started with Computer Vision

Computer vision is an AI domain where software applications interpret visual inputs from images or video. In this module, you will begin exploring computer vision by learning how to use cognitive services to analyze images and videos.

Lessons

• Analyzing Images

• Analyzing Videos

Lab : Analyze Video

Lab : Analyze Images with Computer Vision

After finishing this module, learners will be able to:

• Use the Computer Vision service to analyze images

• Use Video Analyzer to analyze videos

Module 9: Developing Custom Vision Solutions

While pre-defined general computer vision capabilities are useful in many scenarios, there are cases requiring the training of custom models with proprietary visual data. This module explores the Custom Vision service and demonstrates how to use it for creating custom image classification and object detection models.

Lessons

• Image Classification

• Object Detection

Lab : Classify Images with Custom Vision

Lab : Detect Objects in Images with Custom Vision

By the end of this module, learners will be able to:

• Implement image classification using the Custom Vision service

• Implement object detection using the Custom Vision service

Module 10: Detecting, Analyzing, and Recognizing Faces

Facial detection, analysis, and recognition represent common computer vision use cases. In this module, you will investigate how cognitive services can be used to identify human faces.

Lessons

• Detecting Faces with the Computer Vision Service

• Using the Face Service

Lab : Detect, Analyze, and Recognize Faces

Upon completion of this module, learners will be able to:

• Detect faces using the Computer Vision service

• Detect, analyze, and recognize faces using the Face service

Module 11: Reading Text in Images and Documents

Optical Character Recognition (OCR) is another frequent computer vision scenario where software extracts text from images or documents. This module examines cognitive services capable of detecting and reading text within images, documents, and forms.

Lessons

• Reading text with the Computer Vision Service

• Extracting Information from Forms with the Form Recognizer service

Lab : Read Text in Images

Lab : Extract Data from Forms

By the end of this module, learners will be able to:

• Read text in images and documents using the Computer Vision service

• Extract data from digital forms using the Form Recognizer service

Module 12: Creating a Knowledge Mining Solution

Ultimately, numerous AI scenarios require intelligently searching for information based on user queries. AI-driven knowledge mining is a critical approach for building intelligent search solutions that use AI to extract insights from large digital data repositories, enabling users to discover and analyze those insights.

Lessons

• Implementing an Intelligent Search Solution

• Developing Custom Skills for an Enrichment Pipeline

• Creating a Knowledge Store

Lab : Create a Custom Skill for Azure Cognitive Search

Lab : Create an Azure Cognitive Search solution

Lab : Create a Knowledge Store with Azure Cognitive Search

Upon completing this module, learners will be able to:

• Build an intelligent search solution with Azure Cognitive Search

• Implement a custom skill in an Azure Cognitive Search enrichment pipeline

• Create a knowledge store using Azure Cognitive Search