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Microsoft Azure AI Fundamentals

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Microsoft Azure AI Fundamentals
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Introduction

This 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. 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 the course, students will be able to:

  • Describe AI 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

Student Profile

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions 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 knowledge of fundamental programming principles will be helpful.

Prerequisites

Familiarity with computers and use of a web browser.

Course Materials

A copy of the official Microsoft documentation.

Methodology

This is an active and participatory course through demonstrations, practical exercises and user analysis of all theoretical topics taught by the trainer in order to address real cases of the related product.

The trainer will also use different dynamics that allow group work in the classroom such as challenges, assessment tests and real cases to prepare for the associated Microsoft certification exam, if that is the case.

Certification

This course is certified by Microsoft®.

The evaluation is continuous, based on group and individual activities. The trainer will give constant feedback to each participant.

During the course, participants will complete an evaluation test that they must pass with more than 75%. They will have one hour for its completion.

Conditions for additional certification services are subject to the terms of the license owner or authorized certification authority.

Accreditation

A Certificate of Attendance to the AI 900 course will be issued only to students with an attendance of more than 75%, and a Diploma of Achievement if they also pass the evaluation test.

Microsoft AI Fundamentals

1. Introduction to artificial intelligence

  • Artificial intelligence in Azure
  • AI responsible

2. Visual tools for machine learning

  • Introduction to Machine Learning
  • Azure Machine Learning

3. Computer vision

  • Computer vision concepts
  • Computer vision in Azure

4. Natural language processing

  • Introduction to natural language processing
  • Use of natural language processing services

5. Conversational AI

  • Conversational AI Concepts
  • Conversational AI in Azure

 

AI900 | AI 900 | AI-900

Public Classes

Currently, we don't have any public sessions of this course scheduled. Please let us know if you are interested in adding a session.

See Public Class Schedule

Course Details

Reference

AI 900

Duration

1 day

Delivery Mode

Virtual, Face-to-Face

Certification

Microsoft®

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