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

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is becoming increasingly integral to modern applications and services. This module provides an overview of common AI capabilities that can be integrated into your applications, along with how these capabilities are implemented in Microsoft Azure. Additionally, you will learn about key considerations for designing and implementing AI solutions responsibly.

Lessons

• Introduction to Artificial Intelligence

• Artificial Intelligence in Azure

After completing this module, students will be able to:

• Describe the considerations for creating AI-enabled applications for government

• Identify Azure services for developing AI applications for government

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services are the foundational components for integrating AI capabilities into your applications. This module covers how to provision, secure, monitor, and deploy cognitive services effectively.

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

After completing this module, students will be able to:

• Provision and consume cognitive services in Azure for government

• Manage the security of cognitive services for government

• Monitor cognitive services for performance and compliance

• Use a cognitive services container for deployment flexibility

Module 3: Getting Started with Natural Language Processing

Natural Language Processing (NLP) is a branch of AI that focuses on extracting insights from written or spoken language. This module will teach you how to use cognitive services to analyze and translate text effectively.

Lessons

• Analyzing Text

• Translating Text

Lab : Translate Text

Lab : Analyze Text

After completing this module, students will be able to:

• Use the Text Analytics cognitive service to analyze text for government applications

• Use the Translator cognitive service to translate text for multilingual communication in government

Module 4: Building Speech-Enabled Applications

Many modern applications and services incorporate spoken input and can respond by synthesizing speech. This module continues the exploration of natural language processing capabilities by focusing on building speech-enabled applications.

Lessons

• Speech Recognition and Synthesis

• Speech Translation

Lab : Recognize and Synthesize Speech

Lab : Translate Speech

After completing this module, students will be able to:

• Use the Speech cognitive service to recognize and synthesize speech for government applications

• Use the Speech cognitive service to translate speech for multilingual support in government services

Module 5: Creating Language Understanding Solutions

To develop an application that can intelligently understand and respond to natural language input, you need to define and train a model for language understanding. This module covers how to use the Language Understanding service to create an app that can identify user intent from natural language input.

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 completing this module, students will be able to:

• Create a Language Understanding app for government applications

• Create a client application for Language Understanding in government settings

• Integrate Language Understanding and Speech services for comprehensive communication solutions

Module 6: Building a QnA Solution

One of the most common interactions between users and AI software agents involves submitting questions in natural language, with the AI agent responding intelligently. This module explores how the QnA Maker service enables the development of such solutions for government.

Lessons

• Creating a QnA Knowledge Base

• Publishing and Using a QnA Knowledge Base

Lab : Create a QnA Solution

After completing this module, students will be able to:

• Use QnA Maker to create a knowledge base for government applications

• Integrate a QnA knowledge base into an app or bot for government services

Module 7: Conversational AI and the Azure Bot Service

Bots form the basis for increasingly common AI applications where users engage in conversations with AI agents, often similar to interactions with human agents. This module explores the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences for government.

Lessons

• Bot Basics

• Implementing a Conversational Bot

Lab : Create a Bot with the Bot Framework SDK

Lab : Create a Bot with Bot Framework Composer

After completing this module, students will be able to:

• Use the Bot Framework SDK to create a bot for government applications

• Use the Bot Framework Composer to create a bot for government services

Module 8: Getting Started with Computer Vision

Computer vision is an area of AI where software applications interpret visual input from images or video. This module introduces computer vision by teaching you how to use cognitive services to analyze images and video for government applications.

Lessons

• Analyzing Images

• Analyzing Videos

Lab : Analyze Video

Lab : Analyze Images with Computer Vision

After completing this module, students will be able to:

• Use the Computer Vision service to analyze images for government applications

• Use Video Analyzer to analyze videos for government use cases

Module 9: Developing Custom Vision Solutions

While pre-defined general computer vision capabilities are useful in many scenarios, sometimes you need to train a custom model with your own visual data. This module explores the Custom Vision service and how to use it to create custom image classification and object detection models for government applications.

Lessons

• Image Classification

• Object Detection

Lab : Classify Images with Custom Vision

Lab : Detect Objects in Images with Custom Vision

After completing this module, students will be able to:

• Use the Custom Vision service to implement image classification for government applications

• Use the Custom Vision service to implement object detection for government use cases

Module 10: Detecting, Analyzing, and Recognizing Faces

Facial detection, analysis, and recognition are common computer vision scenarios. This module explores the use of cognitive services to identify human faces for government applications.

Lessons

• Detecting Faces with the Computer Vision Service

• Using the Face Service

Lab : Detect, Analyze, and Recognize Faces

After completing this module, students will be able to:

• Detect faces with the Computer Vision service for government applications

• Detect, analyze, and recognize faces with the Face service for government use cases

Module 11: Reading Text in Images and Documents

Optical character recognition (OCR) is a common computer vision scenario where software extracts text from images or documents. This module explores cognitive services that can be used to detect and read text in various formats for government applications.

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

After completing this module, students will be able to:

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

• Use the Form Recognizer service to extract data from digital forms for government use cases

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 important method for building intelligent search solutions that extract insights from large repositories of digital data and enable users to find and analyze those insights for government applications.

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

After completing this module, students will be able to:

• Create an intelligent search solution with Azure Cognitive Search for government applications

• Implement a custom skill in an Azure Cognitive Search enrichment pipeline for specialized data processing

• Use Azure Cognitive Search to create a knowledge store for comprehensive data analysis and retrieval in government settings