AI 900 Exam Prep - Microsoft Azure AI Fundamentals Certification

Microsoft Azure AI Fundamentals : AI 900

  • 8 Hours
  • 1/2 Lectures

Microsoft Azure AI Fundamentals : AI 900

  • 8 Hours
  • 1/2 Lectures

AI 900 Exam Preparation - Microsoft Azure AI Fundamentals Certification Training Course

One of the most important technological advances of the last several years has been artificial intelligence, which has seen substantial growth in recent years. It involves assisting people and companies in improving the quality of their customer interactions and transforming their business processes. This certification course is also suitable for those who want to begin utilizing AI in their businesses and are seeking a place to start. who are interested in breaking into the commercial and employment environment of the AI industry. Have a look at the schedule below to see when you can sign up for the Microsoft Azure AI Fundamentals: AI 900.

Course Prerequisites

Participation in the Microsoft Azure AI Fundamentals: AI 900 program does not require that participants have any prior experience or knowledge. Having a fundamental grasp of computer technology and how to use the internet is essential for learners, but it would be great if they also had this knowledge.

Other talents that would be advantageous and are required to have to include the following:

  • Comprehending mathematical concepts
  • Capability to read various types of charts
  • Fundamental programming concepts

Features of the AI 900 Certification Course that Make It Worth Your Time

  • Training on the fundamentals of artificial intelligence (AI) on Microsoft Azure given by a certified instructor.
  • A Microsoft Azure AI-900 course preview is available for your perusal.
  • Throughout the world, you may find highly qualified, industry-experienced Microsoft Azure teachers.
  • Authoritative SME-created AI-900 training materials.
  • Intro to Microsoft Azure's AI The Microsoft Learning and meesha software Solutions Learning Suites
  • After completing the AI-900 training, a completion certificate will be issued.
  • Training on the Microsoft Azure AI-900 is available in four distinct formats.
  • Courses in Microsoft Azure AI Fundamentals are offered in more than a hundred cities across the world.

Who Should Enroll in the Microsoft Azure AI Fundamentals Certification Program?

There are a variety of professions that might benefit from learning the fundamentals of artificial intelligence on Microsoft Azure.

  • AI Engineer
  • Solution Architect
  • Cloud Architect
  • Software Developers
  • Data Scientists
  • Those aspiring to careers in AI who are interested in creating AI Solutions on Microsoft Azure-
  • Students aiming to get a passing score on the AI-900 examination.

Microsoft Azure AI Fundamentals (AI-900) Exam Format

Exam Name

Microsoft Azure AI Fundamentals

Exam Code

AI - 900

AI 900 Exam Cost

USD 99

Exam Format

Multiple Choice Questions

Total Questions

40-60 Questions

Passing Score

700 out of 1000 (Equivalent to 70%)

Exam Duration

60 Minutes


In addition to the aforementioned languages, also support Japanese, Chinese (Simplified), Portuguese (Brazil), Russian, Indonesian (Indonesia), Korean, Arabic (Saudi Arabia), Chinese (Traditional), Italian (French), French (German), and Spanish.

Testing Center

Pearson Vue

Sample Questions

Use these exam-style questions and answers to brush up on your knowledge of Microsoft Azure's AI fundamentals for the AI 900 course.

AI-900 Training and Certification Exam Objectives Weighting:

  • Explaining the fundamental ideas behind machine learning using Azure (30–35%)
  • Describing the characteristics of computer vision workloads that run on Azure (15–20%).
  • Describing the properties of Natural Language Processing (NLP) workloads on Azure (between 15 and 20 percent).
  • Describing the characteristics of conversational AI workloads on Azure (15–20%).

You are going to learn:

Module 1: Introduces the fundamentals of AII in Azure.

  • A responsible artificial intelligence.

Module 2: The second installment of this course is devoted to machine learning.

  • Learning Machines: An Overview.
  • Machine Learning on Azure.

 Module 3: Computer Vision.

  • Vision Theory for Computers.
  • With Azure's computer vision services, you can.

 Module 4: Natural Language Processing.

  • Provide details on Azure's support for NLP (natural language processing) workloads.

 Module 5: Conversational AI.

  • Ideas for Future Conversational AI.
  • Azure's conversational AI.

Course Curriculum

Meesha Software

  • Exp. 4 year

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  • 1/2 Lectures
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