AI-900 Microsoft Azure AI Fundamentals

Live Online (VILT) & Classroom Corporate Training Course

This training prepares for AI-900 examination.

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AI-900 Microsoft Azure AI Fundamentals

Overview

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 with online materials on the Microsoft Learn platform. 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.

Objectives

At the end of Designing Implementing Microsoft Azure Networking Solutions (AI-900) training course, participants will learn

  • Describe Artificial Intelligence workloads and considerations

  • Describe fundamental principles of machine learning on Azure

  • Describe features of computer vision workloads on Azure

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

Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.

Specifically:

  • Experience using computers and the internet.
  • Interest in use cases for AI applications and machine learning models.
  • A willingness to learn through hands-on exploration.

Course Outline

Module 12022-09-06T01:02:07+05:30

Introduction to AI

In 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.

Lesson

  • Artificial Intelligence in Azure
  • Responsible AI
Module 32022-09-06T01:07:31+05:30

Machine Learning

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.

Lesson

  • Introduction to Machine Learning
  • Azure Machine Learning
Module 42022-09-06T01:08:56+05:30

Natural Language Processing

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 analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Module 52022-09-06T01:10:12+05:30

Conversational AI

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.

Lesson

  • Conversational AI Concepts
  • Conversational AI in Azure
2022-09-06T12:24:57+05:30

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