Microsoft Azure
AI Fundamentals
About the Microsoft Azure AI Fundatmentals Course
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
The course is designed as a blended learning experience that combines instructor-led training. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Audience profile:
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed.
Modules
In this module, you’ll learn about common uses of artificial intelligence (AI), and the different types of the workload associated with AI. You’ll then explore considerations and principles for responsible AI development.
- Artificial Intelligence in Azure
- Responsible AI
Machine 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.
- Introduction to Machine Learning
- Azure Machine Learning
Computer vision is an 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.
- Computer Vision Concepts
- Computer Vision in Azure
This 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 analyse text, recognise and synthesise speech, translate between languages, and interpret commands.
- Describe features of Natural Language Processing (NLP) workloads on Azure
Conversational 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.
This course aims to equip participants with the necessary skills and knowledge to successfully undertake the Microsoft AI-900: Microsoft Azure AI Fundamentals examination.
