Managing AI Models in Azure Machine Learning

Coursera · Beginner ·🛠️ AI Tools & Apps ·2w ago
Building an AI model is only the beginning. To deliver lasting business value, every stage—from defining the goal to monitoring performance—needs a clear, repeatable process. In this lecture preview, explore how Azure Machine Learning supports the full AI lifecycle, including data preparation, automated training, model registration, deployment, and ongoing monitoring. See how structured workflows help reduce errors, improve traceability, and keep models reliable as business needs evolve. This is a lecture from a course preview. Enrolling in the full course provides hands-on practice with Azu…
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Chapters (8)

Aligning AI Models with Business Goals
0:28 Data Preparation and Preprocessing in Azure ML
1:24 Navigating the Azure ML Workspace
2:02 Training Models with AutoML
3:34 Model Registration and Versioning
4:57 Deploying Models with Endpoints
5:45 Monitoring, Metrics, and Model Drift
6:38 Building a Reliable AI Workflow
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