Azure Machine Learning Service and Capabilities
Description
Understanding Azure Machine Learning platform, automated ML capabilities, compute services, and model management and deployment features
Learning Objectives
Learners will understand Azure Machine Learning service capabilities including automated machine learning (AutoML), data and compute services for data science, and model management and deployment capabilities. They will be able to describe how Azure ML enables end-to-end machine learning workflows and supports various ML scenarios.
Topics (7)
Learning about Azure ML workspace, studio, and overall platform capabilities for ML development
Learning about automated feature engineering, algorithm selection, and model optimization in Azure ML
Learning about data stores, datasets, data labeling, and data preparation capabilities
Learning about compute instances, clusters, inference clusters, and serverless compute options
Learning about model registration, versioning, metadata management, and model lineage tracking
Learning about REST endpoints, batch pipelines, containerization, and edge deployment
Learning about ML pipelines, automated testing, monitoring, and DevOps practices for ML