Microsoft Azure AI Fundamentals

Course Overview / Objectives / Audience / PreRequisites / Topics

Course Overview

This course is designed for candidates looking to demonstrate foundational-level knowledge of machine learning (ML) and artificial intelligence (AI) concepts, and related Microsoft Azure services. You will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through hands-on activities. The course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Objectives

This course is designed for candidates looking to demonstrate foundational-level knowledge of machine learning (ML) and artificial intelligence (AI) concepts, and related Microsoft Azure services. You will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through hands-on activities. The course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Audience

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs?to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution (beta)

Prerequisites

Before attending this course, students must have:

Knowledge of Microsoft Azure and ability to navigate the Azure portal
Knowledge of either C# or Python
Familiarity with JSON and REST programming semantics

To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.

Topics

Course OutlineModule 1: Introduction to AIIn this module, you’ll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You’ll then explore considerations and principles for responsible AI development.Lessons

Artificial Intelligence in Azure
Responsible AI

After completing this module you will be able to

Describe Artificial Intelligence workloads and considerations

Module 2: Machine LearningMachine learning is the foundation for modern AI solutions. In this module, you’ll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.Lessons

Introduction to Machine Learning
Azure Machine Learning

After completing this module you will be able to

Describe fundamental principles of machine learning on Azure

Module 3: Computer VisionComputer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you’ll explore multiple computer vision techniques and services.Lessons

Computer Vision Concepts
Computer Vision in Azure

After completing this module you will be able to

Describe features of computer vision workloads on Azure

Module 4: Natural Language ProcessingThis module describes scenarios for AI solutions that can process written and spoken language. You’ll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.After completing this module you will be able to

Describe features of Natural Language Processing (NLP) workloads on Azure

Module 5: Conversational AIConversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.Lessons

Conversational AI Concepts
Conversational AI in Azure

After completing this module you will be able to

Describe features of conversational AI workloads on Azure