Microsoft

Azure AI Fundamentals Training

AI-900

Azure AI Fundamentals (AI-900)

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.

Training at a glance

Level

Beginner

Duration

1 Day

Experience

1 year: Azure AI Fundamentals

Average Salary

$90,000

Labs

No

Level

Beginner

Duration

1 Day

Experience

1 year: Azure AI Fundamentals

Average Salary

$90,000

Labs

No

Training Details

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 Objectives

In this course, you will:

  • Describe Artificial Intelligence workloads and considerations (20–25%)
  • Describe fundamental principles of machine learning on Azure (25–30%)
  • Describe features of computer vision workloads on Azure (15–20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)

Lesson 1: Explore Fundamentals of Artificial Intelligence

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

  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Microsoft Azure


After completing this module, students will be able to:

  • Describe Artificial Intelligence workloads and considerations

 

Lesson 2: Explore Fundamentals of 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, students will be able to:

  • Describe fundamental principles of machine learning on Azure

 

Lesson 3: Explore Fundamentals of Computer Vision

Computer vision is 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
  • Creating Computer Vision solutions in Azure


After completing this module, students will be able to:

  • Describe features of computer vision workloads on Azure

 

Lesson 4: Explore Fundamentals of 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.


Lessons

  • Introduction to Natural Language Processing
  • Building Natural Language Solutions in Azure


After completing this module, students will be able to:

  • Describe features of Natural Language Processing (NLP) workloads on Azure
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. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

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

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From Lean Six Sigma to Project Management Institute Project Management Professional, Agile and SCRUM, we offer the best-in-class strategic planning and project management training available. Work closely with our seasoned multi-decade project managers.
ATA is the leading OffSec and Hack the Box US training provider, and a CompTIA and EC-Council award-winning training partner. We offer the best offensive and defensive cyber training to keep your team ahead of the technology skills curve.
Let us teach your team the high-level traits and micro-level tools & strategies of effective 21st-century leadership. Empower your team to play to each others’ strengths, inspire others and build a culture that values communication, authenticity, and community.