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
Students will be better prepared for the AI-900 certification exam
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.
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.
