Use the following lab exercises to explore Azure Machine Learning.
Before completing each lab, we recommend you review the associated training on Microsoft Learn.
- Getting Started with Azure Machine Learning
- Training and Registering Models
- Working with Data
- Working with Compute
- Creating a Pipeline
- Deploying a Model as a Real-Time Service
- Creating a Batch Inferencing Service
- Tuning Hyperparameters
- Automated Machine Learning
- Interpreting Models
- Analyzing and Mitigating Unfairness in Models
- Monitoring Models
- Monitoring Data Drift
Note: For the best experience, complete the labs in the order in which they are listed above. You must complete at least the first two tasks in Getting Started with Azure Machine Learning to provision an Azure Machine Learning workspace and create a compute instance before completing any other labs.