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. This module introduces common AI capabilities that can be integrated into your apps and explains how these features are delivered through Microsoft Azure. It also covers key considerations for responsibly designing and implementing AI solutions.

Lessons

• Introduction to Artificial Intelligence

• Artificial Intelligence in Azure

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

• Discuss the considerations involved in developing AI-enabled applications

• Identify specific Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services serve as the foundational components for embedding AI capabilities into your applications. In this module, you will learn the processes for provisioning, securing, monitoring, and deploying 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 utilize cognitive services within Azure

• Manage security settings for cognitive services

• Monitor the performance and usage of cognitive services

• Utilize cognitive services containers

Module 3: Getting Started with Natural Language Processing

Natural Language Processing (NLP) is a branch of AI focused on deriving insights from written or spoken language. This module teaches how to leverage cognitive services to analyze and translate text content.

Lessons

• Analyzing Text

• Translating Text

Lab : Translate Text

Lab : Analyze Text

Upon completion 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 support voice input and can respond by synthesizing speech. This module continues the exploration of natural language processing capabilities by focusing on the development of speech-enabled applications.

Lessons

• Speech Recognition and Synthesis

• Speech Translation

Lab : Recognize and Synthesize Speech

Lab : Translate Speech

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

• Use the Speech cognitive service to recognize and synthesize audio

• Use the Speech cognitive service to translate audio

Module 5: Creating Language Understanding Solutions

To build applications that intelligently interpret and respond to natural language input, developers must define and train language understanding models. This module guides you through using the Language Understanding service to create apps that can discern user intent from natural language.

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, learners will be able to:

• Develop a Language Understanding application

• Build a client application for Language Understanding

• Integrate Language Understanding with Speech services

Module 6: Building a QnA Solution

A common interaction pattern between users and AI agents involves users asking questions in natural language, with the AI providing intelligent responses. This module explores how the QnA Maker service facilitates the development of such question-answering solutions.

Lessons

• Creating a QnA Knowledge Base

• Publishing and Using a QnA Knowledge Base

Lab : Create a QnA Solution

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

• Use QnA Maker to build a knowledge base

• Incorporate a QnA knowledge base into applications or bots

Module 7: Conversational AI and the Azure Bot Service

Bots represent a growing category of AI applications where users engage in conversations with AI agents, often mimicking human-like interactions. This module examines the Microsoft Bot Framework and the Azure Bot Service, which together provide the infrastructure for creating and deploying 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 completion of this module, learners will be able to:

• Create a bot using the Bot Framework SDK

• Create a bot using Bot Framework Composer

Module 8: Getting Started with Computer Vision

Computer vision is an AI domain where software interprets visual data from images or videos. This module initiates your journey into computer vision by demonstrating how to use cognitive services to analyze image and video content.

Lessons

• Analyzing Images

• Analyzing Videos

Lab : Analyze Video

Lab : Analyze Images with Computer Vision

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

• Use the Computer Vision service to analyze images

• Use Video Analyzer to analyze video content

Module 9: Developing Custom Vision Solutions

While pre-defined general computer vision capabilities are useful in many cases, there are scenarios requiring custom models trained on specific visual data. This module explores the Custom Vision service and its application in creating bespoke 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

Upon completion 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 are prevalent computer vision applications. This module covers the use of cognitive services to identify and process 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 task involving the extraction of text from images or documents. This module highlights cognitive services used to detect and read 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

Upon completion of this module, learners 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 ultimately revolve around intelligently retrieving information based on user queries. AI-driven knowledge mining is a vital approach for building intelligent search solutions that extract insights from large digital data repositories, enabling users to discover and analyze that information.

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, learners will be able to:

• Build an intelligent search solution using Azure Cognitive Search

• Implement custom skills within an Azure Cognitive Search enrichment pipeline

• Use Azure Cognitive Search to establish a knowledge store