AI-900 Microsoft Azure AI Fundamentals Certification | Udemy

Release v3.0 – January 2025

The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.

All course contents have also been aligned as per any changes to the course objectives.

Additional questions also added to the Practice Tests available at the end of the course.

Release v2.0 – July 2023

The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.

All course contents have also been aligned as per any changes to the course objectives.

Quiz questions have also been added to the end of each section.

This course is a preparation course for students who want to attempt the Exam AI-900: Microsoft Azure AI Fundamentals

This course has contents for the Exam AI-900

The objectives covered in this course are

• Describe AI workloads and considerations (15-20%) – Here we will discuss the the basics on AI-based workloads.
• Describe fundamental principles of machine learning on Azure (30-35%) – Here we will understand what is Machine Learning. We will also look at labs on how to work with the Machine Learning service.
• Describe features of computer vision workloads on Azure (15-20%) – Here we will look at the different features of the Computer Vision service. We will also look at the Custom Vision service, the Face service and the Form Recognizer service.
• Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) – Here we will look at services such the Text Analytics service, the Language Understanding Intelligence Service , the Speech service.
• Describe features of conversational AI workloads on Azure (15-20%) – Here we will see the basics on the QnA Maker service and the Bot Framework.

There is also a number of labs available in this course. These labs focus on the different services available in Azure when it comes to Machine Learning and Artificial Intelligence.