About this course
This course is an opportunity to demonstrate knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
Duration
This course is 40 class hours, typically consisting of (10) 4-hour sessions with additional hours for Lab and practice assessments
Benefits
- Cloud basics
- Client-Server Applications
Who should take this course?
| 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. |
Class Details
Exam Objectives:
- 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%)
Pre-requisites:
There are no pre-requisites for this course.
Labs:
No labs are currently available for this course.
Additional Resources:
No additional resources are currently available for this course.
