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

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) has become central to modern applications and services. In this module, you will explore common AI capabilities available for integration into your applications and examine how these are delivered through Microsoft Azure. You will also review key considerations for designing and implementing AI solutions responsibly.

Lessons

• Introduction to Artificial Intelligence

• Artificial Intelligence in Azure

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

• Describe the considerations for developing AI-enabled applications

• Identify the relevant Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services serve as the foundational building blocks for integrating AI capabilities into applications. This module guides you through the process of provisioning, securing, monitoring, and deploying cognitive services.

Lessons

• Getting Started with Cognitive Services

• Using Cognitive Services for Enterprise Applications

Lab: Getting Started with Cognitive Services

Lab: Managing Cognitive Services Security

Lab: Monitoring Cognitive Services

Lab: Using a Cognitive Services Container

After completing this module, participants will be able to:

• Provision and consume cognitive services within Azure

• Manage security for cognitive services

• Monitor the performance of cognitive services

• Utilize cognitive services containers

Module 3: Getting Started with Natural Language Processing

Natural Language Processing (NLP) is a branch of artificial intelligence focused on extracting 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: Translating Text

Lab: Analyzing Text

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

• Use the Text Analytics cognitive service for text analysis

• Use the Translator cognitive service for text translation

Module 4: Building Speech-Enabled Applications

Many contemporary applications and services support spoken input and can respond with synthesized speech. This module continues the exploration of natural language processing capabilities by focusing on the construction of speech-enabled applications.

Lessons

• Speech Recognition and Synthesis

• Speech Translation

Lab: Recognizing and Synthesizing Speech

Lab: Translating Speech

After completing 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 build applications that intelligently understand and respond to natural language input, you must define and train a language understanding model. In this module, you will learn how to use the Language Understanding service to create an app that identifies 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: Creating a Language Understanding Client Application

Lab: Creating a Language Understanding App

Lab: Using the Speech and Language Understanding Services

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

• Create a Language Understanding application

• Develop a client application for Language Understanding

• Integrate Language Understanding with Speech

Module 6: Building a QnA Solution

A common interaction pattern between users and AI agents involves users submitting questions in natural language, with the AI agent providing intelligent, appropriate 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: Creating a QnA Solution

After completing this module, participants will be able to:

• Use QnA Maker to build a knowledge base

• Integrate a QnA knowledge base into an application or bot

Module 7: Conversational AI and the Azure Bot Service

Bots form the basis of an increasingly common type of AI application where users engage in conversations with AI agents, often mimicking 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.

Lessons

• Bot Basics

• Implementing a Conversational Bot

Lab: Creating a Bot with the Bot Framework SDK

Lab: Creating 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 is a field of artificial intelligence where software applications interpret visual input from images or video. This module initiates your exploration of computer vision by teaching how to use cognitive services to analyze images and video.

Lessons

• Analyzing Images

• Analyzing Videos

Lab: Analyzing Video

Lab: Analyzing Images with Computer Vision

After completing 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 predefined general computer vision capabilities are useful in many scenarios, there are instances where training a custom model with proprietary visual data is required. This module explores the Custom Vision service and demonstrates how to use it to create custom image classification and object detection models.

Lessons

• Image Classification

• Object Detection

Lab: Classifying Images with Custom Vision

Lab: Detecting 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 prevalent computer vision scenarios. This module examines the use of cognitive services to identify human faces.

Lessons

• Detecting Faces with the Computer Vision Service

• Using the Face Service

Lab: Detecting, Analyzing, and Recognizing Faces

After completing this module, participants 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 common computer vision scenario where software extracts text from images or documents. This module explores 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: Reading Text in Images

Lab: Extracting 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

Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is a growing method for building intelligent search solutions that use AI to extract insights from large digital data repositories, enabling users to find and analyze those insights.

Lessons

• Implementing an Intelligent Search Solution

• Developing Custom Skills for an Enrichment Pipeline

• Creating a Knowledge Store

Lab: Creating a Custom Skill for Azure Cognitive Search

Lab: Creating an Azure Cognitive Search Solution

Lab: Creating a Knowledge Store with Azure Cognitive Search

After completing 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