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

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is becoming a central component of modern applications and services. In this module, you will explore common AI capabilities that can be integrated into your apps and understand how these capabilities are realized within Microsoft Azure. You will also examine best practices for designing and implementing AI solutions with responsibility.

Lessons

• Introduction to Artificial Intelligence

• Artificial Intelligence in Azure

Upon completing this module, you will be able to:

• Explain the considerations involved in creating AI-enabled applications

• Identify appropriate Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services serve as the foundational elements for integrating AI features into your applications. This module guides you through the process of provisioning, securing, monitoring, and deploying 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

Upon completing this module, you will be able to:

• Provision and utilize cognitive services in Azure

• Manage security settings for cognitive services

• Monitor the performance and usage of cognitive services

• Deploy and use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language Processing (NLP) is a subset of artificial intelligence focused on deriving insights from written or spoken language. In this module, you will learn to leverage cognitive services for analyzing and translating text.

Lessons

• Analyzing Text

• Translating Text

Lab : Translate Text

Lab : Analyze Text

Upon completing this module, you will be able to:

• Utilize the Text Analytics cognitive service for text analysis

• Employ the Translator cognitive service for text translation

Module 4: Building Speech-Enabled Applications

A growing number of modern applications support voice input and can generate spoken responses. This module extends your NLP knowledge by teaching you how to develop speech-enabled applications.

Lessons

• Speech Recognition and Synthesis

• Speech Translation

Lab : Recognize and Synthesize Speech

Lab : Translate Speech

Upon completing this module, you will be able to:

• Use the Speech cognitive service to recognize and generate speech

• Apply the Speech cognitive service to translate spoken language

Module 5: Creating Language Understanding Solutions

Building an application that intelligently interprets and responds to natural language requires defining and training a specific language understanding model. In this module, you will learn to use the Language Understanding service to build an app that can determine 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

Upon completing this module, you will be able to:

• Develop a Language Understanding application

• Build a client application for Language Understanding

• Combine Language Understanding with Speech services

Module 6: Building a QnA Solution

A common interaction pattern involves users asking questions in natural language and an AI agent providing intelligent, appropriate responses. This module explores how the QnA Maker service facilitates the creation of such solutions.

Lessons

• Creating a QnA Knowledge Base

• Publishing and Using a QnA Knowledge Base

Lab : Create a QnA Solution

Upon completing this module, you will be able to:

• Use QnA Maker to construct a knowledge base

• Integrate a QnA knowledge base into an app or bot

Module 7: Conversational AI and the Azure Bot Service

Bots represent a prevalent form of AI application where users engage in dialogue with AI agents, often mimicking human conversation. This module examines the Microsoft Bot Framework and the Azure Bot Service, which together provide a robust 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, you will be able to:

• Build 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 interprets visual data from images or video. This module introduces you to computer vision by demonstrating how to use cognitive services to analyze images and video content.

Lessons

• Analyzing Images

• Analyzing Videos

Lab : Analyze Video

Lab : Analyze Images with Computer Vision

Upon completing this module, you will be able to:

• Employ the Computer Vision service to analyze images

• Utilize Video Analyzer to examine videos

Module 9: Developing Custom Vision Solutions

While general computer vision capabilities are often sufficient, specific scenarios may require training custom models with proprietary visual data. This module delves into the Custom Vision service, showing you how to create custom models for image classification and object detection.

Lessons

• Image Classification

• Object Detection

Lab : Classify Images with Custom Vision

Lab : Detect Objects in Images with Custom Vision

Upon completing this module, you 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 standard computer vision applications. This module explores the use of cognitive services to identify and analyze human faces.

Lessons

• Detecting Faces with the Computer Vision Service

• Using the Face Service

Lab : Detect, Analyze, and Recognize Faces

Upon completing this module, you 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 key computer vision scenario where software extracts text from images or documents. This module covers 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 completing this module, you will be able to:

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

• Extract data from digital forms using the Form Recognizer service

Module 12: Creating a Knowledge Mining Solution

Many AI use cases involve intelligent information retrieval based on user queries. AI-driven knowledge mining is a critical approach for building intelligent search solutions that extract insights from large digital repositories, enabling users to find and analyze relevant 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 completing this module, you will be able to:

• Develop an intelligent search solution using Azure Cognitive Search

• Integrate a custom skill into an Azure Cognitive Search enrichment pipeline

• Utilize Azure Cognitive Search to establish a knowledge store