Content

• Target group
• The Azure AI Fundamentals course is aimed at anyone who wants to learn about the solution that enables AI and the services in Microsoft Azure that you can use to create it. You do not need to have any experience of using Microsoft Azure to attend this course. However, a basic familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of math, such as the ability to interpret graphs. The course includes hands-on activities that involve working with data and executing code. Therefore, knowledge of basic programming principles is helpful.
• Upon completion of this module, students will be able to perform the following tasks:
      • Describe workloads and artificial intelligence considerations
      • Describe basic principles of machine learning in Azure
      • Describe features of machine vision workloads in Azure
      • Describe the characteristics of natural language processing (NLP) workloads in Azure

• Content
• 
  Module 1: Explore the basics of artificial intelligence
• In this module, you will learn about common applications of artificial intelligence (AI) and the different types of workloads associated with AI. You will then explore considerations and principles for responsible AI development.
• Lesson
      • Introduction to Artificial Intelligence
      • Artificial intelligence in Microsoft Azure
      • After completing this module, students will be able to perform the following tasks:
      • Describe workloads and considerations for artificial intelligence

• 
  Module 2: Exploring the fundamentals of machine learning
• Machine learning is the foundation for modern AI solutions. In this module, you will learn some basic machine learning concepts and how to use the Azure Machine Learning Service to create and publish machine learning models.
• Lesson
      • Introduction to machine learning
      • Azure Machine Learning
      • After completing this module, students will be able to perform the following tasks
      • Describe the basic principles of machine learning in Azure

• 
  Module 3: Explore the basics of machine vision
• Machine vision is an area of AI that involves understanding the world visually through images, video files and cameras. In this module, you will learn about different machine vision techniques and services.
• Lesson
      • Concepts for machine vision
      • Creating machine vision solutions in Azure
      • After completing this module, students will be able to perform the following tasks
      • Describe the capabilities of machine vision workloads in Azure

• 
  Module 4: Explore the basics of natural language processing
• This module describes scenarios for AI solutions that can process written and spoken language. You will learn about Azure services that you can use to create solutions that can analyze text, recognize and synthesize speech, translate languages, and interpret commands.
• Lesson
      • Introduction to natural language processing
      • Develop natural language processing solutions
      • After completing this module, students will be able to perform the following tasks:
      • Describe the characteristics of Natural Language Processing (NLP) workloads in Azure