Artificial Intelligence and Machine Learning Courses

Azure AI Fundamentals (AI-900) - Self-paced

  • Length 365 days
  • Price  $550 inc GST
  • Inclusions Test Prep & Quiz
Course overview
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Why study this course

This self-paced course introduces fundamental 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.

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What you’ll learn

After completing this course, students will be able to:

  • 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


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Microsoft Azure at Lumify Work

As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level.  We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ. 


Who is the course for?

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.


Course subjects

Describe Artificial Intelligence Workloads and Considerations

  • Azure Machine Learning Fundamentals

  • Artificial Intelligence Concepts

  • Artificial Intelligence Principles

  • Azure Data Explorer

Describe fundamental Principles of Machine Learning on Azure

  • Machine Learning with Azure AI

  • Introduction to Azure Machine Learning Studio

  • Working with Azure Machine Learning Studio

  • Using Azure Machine Learning Designer

Describe Features of Computer Vision Workloads on Azure

  • Introduction to Azure AI Vision

  • Getting Started with Azure AI Vision

  • Working with AI Vision

  • Azure Document & Optical Character Recognition

Describe Features of Natural Language Processing Workloads on Azure

  • Azure Natural Language Processing

Describe Features of Generative AI Workloads on Azure

  • Evaluating Models in Azure AI

  • Creating a Conversational AI Bot

Practice Exam and eBook

  • Practice Test

  • eBook


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.


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Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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