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AI-900: Microsoft Azure AI Fundamentals with practice tests
Rating: 4.2 out of 5(348 ratings)
4,237 students

AI-900: Microsoft Azure AI Fundamentals with practice tests

Master Microsoft Azure AI Fundamentals (AI-900) – Pass Your Certification with Confidence || Azure AI Foundry
Created byTechLab Guru
Last updated 10/2025
English

What you'll learn

  • Artificial Intelligence workloads and considerations
  • 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 generative AI workloads on Azure

Course content

10 sections34 lectures2h 9m total length
  • Certification Overview6:04

Requirements

  • No experience is required
  • No Prior certification is required

Description

What is AI 900 certification ?

This certification is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services.

You will explore core AI concepts such as machine learning, computer vision, natural language processing, and conversational AI, all within the context of Microsoft Azure. Through hands-on labs and real-world scenarios, you'll learn to leverage Azure AI services effectively, gaining the ability to build intelligent solutions that drive business outcomes.

By the end of this course, you'll be prepared not only to pass the AI-900 exam but also to apply Azure AI tools and techniques to solve real-world challenges, making you a valuable asset in the rapidly evolving field of artificial intelligence. Gain confidence in implementing AI solutions on Azure, and embark on a path where you can innovate and contribute effectively to digital transformation initiatives across diverse industries. Start your journey to mastering Azure AI Fundamentals today with our comprehensive and practical course.


This course covers all aspects:


  • Describe Artificial Intelligence workloads and considerations (15–20%)

  • Describe fundamental principles of machine learning on Azure (20–25%)

  • 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 generative AI workloads on Azure (15–20%)

Who this course is for:

  • Individuals interested in pursuing a career in Azure AI
  • Developers, data scientists, and IT professionals aiming to incorporate AI capabilities into their applications or solutions