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

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is increasingly integral to modern applications and services. In this module, you will examine common AI capabilities available for integration into applications and their implementation within Microsoft Azure. The module also addresses essential considerations for designing and implementing AI solutions responsibly and securely.

Lessons

• Introduction to Artificial Intelligence

• Artificial Intelligence in Azure

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

• Describe considerations for creating AI-enabled applications

• Identify Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services serve as the foundational components for integrating AI capabilities into applications. In this module, you will learn how to provision, secure, monitor, and deploy these services. The training emphasizes governance and operational best practices for government environments.

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, participants will be able to:

• Provision and consume cognitive services in Azure

• Manage cognitive services security

• Monitor cognitive services

• Use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language Processing (NLP) is a subset of AI focused on extracting insights from written or spoken language. In this module, you will utilize Cognitive Services to analyze and translate text data, supporting multilingual communication needs.

Lessons

• Analyzing Text

• Translating Text

Lab : Translate Text

Lab : Analyze Text

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

• Use the Text Analytics cognitive service to analyze text

• Use the Translator cognitive service to translate text

Module 4: Building Speech-Enabled Applications

Many modern applications and services facilitate spoken input and respond via synthesized text. In this module, you will expand your understanding of NLP by building speech-enabled applications, enhancing accessibility and user interaction for government services.

Lessons

• Speech Recognition and Synthesis

• Speech Translation

Lab : Recognize and Synthesize Speech

Lab : Translate Speech

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

• Use the Speech cognitive service to recognize and synthesize speech

• Use the Speech cognitive service to translate speech

Module 5: Creating Language Understanding Solutions

To develop applications that intelligently interpret and respond to natural language, it is necessary to define and train language understanding models. In this module, you will use the Language Understanding service to build applications that identify user intent from input, improving efficiency for government workflows.

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

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

• Create a Language Understanding app

• Create a client application for Language Understanding

• Integrate Language Understanding and Speech

Module 6: Building a QnA Solution

A frequent interaction model between users and AI agents involves users submitting natural language questions and receiving intelligent responses. In this module, you will explore how the QnA Maker service facilitates the development of such automated response solutions, supporting citizen engagement efforts.

Lessons

• Creating a QnA Knowledge Base

• Publishing and Using a QnA Knowledge Base

Lab : Create a QnA Solution

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

• Use QnA Maker to create a knowledge base

• Use a QnA knowledge base in an app or bot

Module 7: Conversational AI and the Azure Bot Service

Bots form the basis of a growing class of AI applications where users engage in conversational exchanges with AI agents, often mirroring interactions with human representatives. In this module, you will examine the Microsoft Bot Framework and Azure Bot Service, which together provide a platform for delivering consistent and accountable conversational experiences for government constituents.

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 completion of this module, participants will be able to:

• Use the Bot Framework SDK to create a bot

• Use the Bot Framework Composer to create a bot

Module 8: Getting Started with Computer Vision

Computer vision enables software applications to interpret visual data from images and video. In this module, you will begin exploring computer vision capabilities by learning how to utilize Cognitive Services to analyze visual content, supporting document management and inspection processes.

Lessons

• Analyzing Images

• Analyzing Videos

Lab : Analyze Video

Lab : Analyze Images with Computer Vision

Upon completion of this module, participants 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, certain requirements necessitate training custom models using proprietary visual data. In this module, you will explore the Custom Vision service and learn how to develop custom image classification and object detection models tailored to specific organizational needs.

Lessons

• Image Classification

• Object Detection

Lab : Classify Images with Custom Vision

Lab : Detect Objects in Images with Custom Vision

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

• Use the Custom Vision service to implement image classification

• Use the Custom Vision service to implement object detection

Module 10: Detecting, Analyzing, and Recognizing Faces

Facial detection, analysis, and recognition are common computer vision applications. In this module, you will explore the use of Cognitive Services to identify human faces, considering privacy and security implications relevant to government operations for government contexts.

Lessons

• Detecting Faces with the Computer Vision Service

• Using the Face Service

Lab : Detect, Analyze, and Recognize Faces

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

• Detect faces with the Computer Vision service

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

Module 11: Reading Text in Images and Documents

Optical Character Recognition (OCR) is a widely used computer vision scenario where software extracts text from images or documents. In this module, you will explore Cognitive Services capabilities for detecting and reading text within images, documents, and forms, streamlining data processing workflows.

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

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

• Use the Computer Vision service to read text in images and documents

• Use the Form Recognizer service to extract data from digital forms

Module 12: Creating a Knowledge Mining Solution

Many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly vital approach for building intelligent search solutions that extract insights from large digital data repositories, enabling users to find and analyze critical information efficiently.

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 completion of this module, participants will be able to:

• Create an intelligent search solution with Azure Cognitive Search

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

• Use Azure Cognitive Search to create a knowledge store