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Microsoft Azure AI Fundamentals (AI-900T00)

 

Course 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 (https://azure.com/learn). 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.

Course Content

Module 1: 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.

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 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.

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 Vision

Computer 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 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.

After completing this module you will be able to:

  • Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5: 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.

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

Who should attend

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 (https://azure.com/learn). 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.

Prerequisites

Familiarity with computers and using a web browser.

Course Objectives

  • 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
  • Describe features of conversational AI workloads on Azure
Online Training

Duration 1 day

Price
  • US$ 895
Classroom Training

Duration 1 day

Price
  • United States: US$ 895
 
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This is a FLEX course, which is delivered simultaneously in two modalities. Choose to attend the Instructor-Led Online (ILO) virtual session or Instructor-Led Classroom (ILT) session.
United States
Nov 30, 2020 Guaranteed to Run Online Training 09:00 US/Eastern Enroll
Canada
Nov 30, 2020 Guaranteed to Run Online Training 09:00 Canada/Eastern Enroll

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