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AI-900: Microsoft Azure AI Fundamentals Video Course

person icon Eshant Garg

4.7

AI-900: Microsoft Azure AI Fundamentals Video Course

Microsoft Azure AI Fundamentals course offers over 8 hours of video content, covering 100% of the syllabus

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Eshant Garg

English [CC]

category icon IT and Software ,IT Certifications,AZ-900: Microsoft Azure Fundamentals

Lectures -64

Resources -11

Duration -8.5 hours

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4.7

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Course Description

Should you take the AI-900 Exam?

Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. Therefore, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.

The interesting fact about the AI-900 certification is that it is a fundamental-level certification exam. Therefore, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. In addition, there is no requirement for software engineering or data science experience for the AI-900 certification exam.

The AI-900 certification can also help you build the foundation for Azure AI Engineer Associate or Azure Data Scientist Associate certifications.

What is included in this course?

  • 8+ hrs. of content, Practice tests, quizzes, etc.

  • PPT, Demo resources, and other study material.

  • Full lifetime access.

  • Certificate of course completion.

  • 30-day Money-Back Guarantee.

  • This course has more than enough practice questions to get you to prepare for the exam.

  • Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts.

The AI-900 exam covers the following topics:

  • Describe AI workloads and considerations (15-20%).

  • Describe fundamental principles of machine learning on Azure (30-35%).

  • Describe features of computer vision workloads on Azure (15-20%).

  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%).

  • Describe features of conversational AI workloads on Azure (15-20%).

Who is this course for?

  • Those who are looking to take AI-900 Exam: Microsoft Azure AI Fundamentals.
  • Those who are interested in learning the basics of Artificial Intelligence or Machine Learning.

Goals

  • Foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

  • Common ML and AI workloads and how to implement them on Azure.

  • AI workloads and considerations: AI-900 Exam.

  • Principles of machine learning on Azure: AI-900 Exam.

  • Computer vision workloads on Azure: AI-900 Exam.

  • Natural Language Processing (NLP) workloads on Azure: AI-900 Exam.

  • Conversational AI workloads on Azure: AI-900 Exam.

Prerequisites

  • No prerequisite for this course

  • Candidates with both technical and non-technical backgrounds can attend this course

AI-900: Microsoft Azure AI Fundamentals Video Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction

1 Lectures
  • play icon Introduction 07:10 07:10

Azure Portal Introduction: For Begineers

3 Lectures
Tutorialspoint

AI workloads and considerations (15-20%)

16 Lectures
Tutorialspoint

Fundamental principles of Machine Learning on Azure (30- 35%)

14 Lectures
Tutorialspoint

Describe features of computer vision workloads on Azure (15-20%)

12 Lectures
Tutorialspoint

Natural Language Processing (NLP) workloads on Azure (15-20%)

12 Lectures
Tutorialspoint

Conversational AI workloads on Azure (15-20%)

5 Lectures
Tutorialspoint

Practice Tests

1 Lectures
Tutorialspoint

Instructor Details

Eshant Garg

Eshant Garg

About me


I love to explain complicated things in a simple and effective way.

I have 16 years of extensive professional experience with expertise in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architect, Reporting, and Cloud Computing Technologies (Azure & AWS).

As a developer and architect, I have worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies.

Outside of the technical world, I love yoga and meditation. I am a student of the ancient yogic text Bhagavad Gita and love to discuss and practice philosophical teachings.


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