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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.

This course also has a number of practice questions that will help students get better prepared to take on the exam.

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.