AI-900T00: Microsoft Azure AI Fundamentals Training Course

AI-900 Certification Training

Take the first step towards learning all the concepts related to Artificial Intelligence and various services in Azure for producing AI solutions through the one-day Microsoft Azure AI Fundamentals training. Our Azure-certified instructors explain Artificial Intelligence workloads, Machine Learning principles on Azure, features of conversational AI workloads on Azure, and enable you to clear the industry-recognized certification exam on the first attempt.


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AI-900T00: Microsoft Azure AI Fundamentals Course Overview

The beginner-level Vinsys' Microsoft Azure AI Fundamentals training focuses on the elementary aspects of artificial intelligence. Rather than making you a professional data scientist or software developer, it builds the overall awareness of usual AI workloads while adding to your capabilities for identifying Azure services to support them.

Azure AI-900T00 course prepares you for the AI-900 exam, required for earning the Microsoft Azure AI Fundamentals certification. 

Course Curriculum


  • Appropriate for students or professionals interested in use cases for AI applications and machine learning models
  • Individuals willing to learn the types of solutions made possible by AI, and Azure services for creating them
  • Job Roles: AI Engineers, Data Scientists, Developers, and Solution Architects
  • Those looking to secure the Microsoft Azure AI Fundamentals certification

Eligibility Criteria

  • No specific experience of using Azure is necessary
  • Basic familiarity with computer technology/internet and mathematics is helpful

Course Objectives

  • Learning to describe AI workloads/considerations.
  • Foundational principles of machine learning on Microsoft Azure.
  • Features of computer vision workloads.
  • Natural Language Processing (NLP) workload features.
  • Features of conversational AI workloads.

About the Certification - AI-900: Microsoft Certified Azure AI Fundamentals Certification

Microsoft Certified: Azure AI Fundamentals credential validates your knowledge of common machine learning/artificial intelligence workloads and the ability to implement them on Azure.

The AI-900 exam must be passed to achieve the entry-level certification that acts as a stepping stone for other Microsoft Azure role-based certifications, from the Data Scientist Associate to the Azure AI Engineer Associate. 


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Training Options


Instructor-Led Session

  • 1 days Instructor-led Online Training
  • Experienced Subject Matter Experts
  • Approved and Quality Ensured training Material
  • 24*7 leaner assistance and support


Customized to your team's need

  • Blended Learning Delivery Model (Self-Paced E-Learning And/Or Instructor-Led Options)
  • Course, Category, And All-Access Pricing
  • Enterprise-Class Learning Management System (LMS)
  • Enhanced Reporting For Individuals And Teams
  • 24x7 Teaching Assistance And Support 

Course Outline

  • AI in Microsoft Azure
  • Responsible artificial intelligence
  • Machine learning introduction
  • Azure machine learning
  • Computer vision concepts
  • Computer vision in Microsoft Azure
  • Describe scenarios for AI solutions for processing written/spoken language
  • Azure services for building solutions that analyze text, recognize/synthesize speech, translate between languages, and interpret commands
  • Conversational AI concepts
  • Conversational artificial intelligence in Azure

Course Reviews


Vinsys is a globally admired Corporate and Individual training provider, and a Microsoft partner for Azure certifications. Our instructor-led online courses, customizable skill-development programs, and 24*7 learner support ensure the most comprehensive upskilling experience, a must for capitalizing on valuable Azure AI opportunities.

No, it is equally beneficial for professionals with non-technical backgrounds.

You may! As the training includes hands-on activities, working with data, and running codes, the basic know-how of programming principles could prove helpful. 

No, however, aspirants must be ready to learn through hands-on exploration.

Out of 40-60 questions,Describing fundamental principles of machine learning on Azure” attracts the most attention [30-35%].