AI-900 Microsoft Azure AI Fundamentals Certification 2021

AI-900 Microsoft Azure AI Fundamentals Preparation Course

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

What you’ll learn

• Students will be better prepared for the AI-900 certification exam.
• Students will learn the important aspects for what is required from an exam perspective.
• Students will be learning Fundamental concepts for Artificial Intelligence.

Course Content

• Introduction and basics on Azure –> 7 lectures • 29min.
• Describe AI workloads and considerations –> 12 lectures • 16min.
• Describe fundamental principles of machine learning on Azure –> 25 lectures • 2hr 13min.
• Describe features of computer vision workloads on Azure –> 28 lectures • 1hr 41min.
• Describe features of Natural Language Processing and Conversational AI workloads –> 24 lectures • 1hr.
• Practice Section –> 1 lecture • 1min.

Requirements

• Have a basic idea on what is Artificial Intelligence.
• Have a basic idea on what is Machine Learning.
• Have a basic idea on what is an API – Application Programming Interface.

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.