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Overview
This course teaches how to manage and review machine learning models within Azure Machine Learning. Learners explore model lifecycle management, versioning, deployment, and monitoring. The curriculum covers best practices for model governance, compliance, and performance optimization. Data scientists and ML engineers gain skills to maintain robust, scalable ML models in production environments using Azure tools.
Syllabus
- Introduction
- Log models with MLflow
- Understand the MLflow model format
- Register an MLflow model
- Exercise - Log and register models with MLflow
- Module assessment
- Summary
- Introduction
- Understand Responsible AI
- Create the Responsible AI dashboard
- Evaluate the Responsible AI dashboard
- Exercise - Explore the Responsible AI dashboard
- Module assessment
- Summary
Instructor
Microsoft
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