AI-300, is a meticulously structured Udemy course aimed at IT professionals seeking to pass the AI-300 exam. This course systematically walks you through the initial setup to advanced implementation with real-world applications. By passing AI-300, you’re gaining proficiency in the highly recognized Microsoft AI and ML ecosystem.
The course is always aligned with Microsoft’s latest study guide and exam objectives:
Design and implement an MLOps infrastructure (15–20%)
Create and manage resources in a Machine Learning workspace:
- Create and manage a workspace
- Create and manage datastores
- Create and manage compute targets
- Configure identity and access management for workspaces
Create and manage assets in a Machine Learning workspace:
- Create and manage data assets
- Create and manage environments
- Create and manage components
- Share assets across workspaces by using registries






