Launch Your Career in Artificial Intelligence. User services on Microsoft Azure to create AI solutions
You will learn about the types of solutions AI makes possible, and the services on Microsoft Azure that you can use to create them.
This exam is an opportunity to demonstrate knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. Candidates for this exam should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, awareness of cloud basics and client-server applications would be beneficial.

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

Audience Profile

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Skills measured

•  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%)

Training Materials
This course provides you with the following studying material (PDF)

• Training Material
• StudyGuide
• Sample Questions
• AI 900 glossary

Questions Bank
The question bank contains the following practice tests :

• Describe Artificial Intelligence workloads and considerations (31 Questions)
• Describe fundamental principles of machine learning on Azure (41 Questions)
• Describe features of computer vision workloads on Azure(20 Questions)
• Describe features of Natural Language Processing (NLP) workloads on Azure (31 Questions)
• Practice Test 1 (FULL) : (40 Questions)
• Practice Test 2 (FULL) : (44 Questions)
• Practice Test 3 (FULL) : (40 Questions)
• Practice Test 4 (FULL) : (40 Questions)

• Facebook Group
• Telegram Group