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Microsoft Azure AI Fundamentals

About the
course

AI-900
Fundamental
60 minutes to complete the exam
40-60 questions, multiple-choice and multi-select questions
700 / 1000

Mastering the basics in AI can help you jump-start your career and get ready to dive deeper into the other technical opportunities Azure offers. AI opens doors into possibilities that might have seemed like science fiction only yesterday. Using AI, you can build solutions, improve your apps, and advance technology in many fields, including healthcare, financial management, and environmental protection, to name just a few.

The Microsoft Certified: Azure AI Fundamentals certification could be a great fit for you if you'd like to:

  • Prove that you have the AI skills it takes to build a better world. Earning your Azure AI Fundamentals certification can supply the foundation you need to build your career and demonstrate your knowledge of common AI and machine learning workloads—and what Azure services can solve for them.
  • Validate your foundational knowledge of machine learning and AI concepts, along with related Azure services.

It’s recommended to have some general programming knowledge or experience, but it’s not required. You can use Azure AI fundamentals to reinforce your basics for other Azure role-based certifications, like Azure Data Scientist Associate, Azure AI Engineer Associate, or Azure Developer Associate, but it’s not a prerequisite for any of them.

What you will learn

Skills measured

  • Describe Artificial Intelligence 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
Get started
Average salary for Microsoft Ai Engineer Professionals

£55,000.00+

The average microsoft ai engineer salary in the United Kingdom is £55,000 per year or £28.21 per hour. Entry level positions start at £55,000 per year while most experienced workers make up to £57,250 per year.

Job Roles

  • Azure AI Engineer
  • Platform Engineer
  • Cloud Engineer
  • Azure Data Engineer
  • DevOps Engineer
  • Azure AI Consultant
Related Exams

Exam skills outline

This exam is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this exam, you should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.

This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:

  • Cloud basics
  • Client-server applications

You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

  • The English language version of this exam was updated on August 4, 2023. Review the study guide linked in the preceding “Tip” box for details about the skills measured and latest changes.
  • Describe Artificial Intelligence workloads and considerations (20–25%)
  • Describe fundamental principles of machine learning on Azure (25–30%)
  • Describe features of computer vision workloads on Azure (15–20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)

Candidates for this exam are administrators who deploy, configure, secure, manage, and monitor devices and client applications in an enterprise environment. Candidates manage identity, access, policies, updates, and apps.

As an administrator, candidates typically collaborate with the Microsoft 365 enterprise administrator to design and implement a device strategy that meets the business needs of a modern organization.

Candidates must be familiar with Microsoft 365 workloads and must be proficient and experienced in deploying, configuring, and maintaining Windows 10 and non-Windows devices and technologies.

  • The content of this exam was updated on November 24, 2021. Please download the exam skills outline below to see what changed.
  • Deploy and upgrade operating systems (25-30%)
  • Manage policies and profiles (20-25%)
  • Manage and protect devices (30-35%)
  • Manage apps and data (10-15%)
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