India
Module 1: Introduction to Azure Machine Learning
- Getting Started with Azure Machine Learning
- Azure Machine Learning Tools
Module 2: "No-code" Machine Learning with Designer
- Training Models with the Designer
- Publishing Models with the Designer
Module 3: Running Experiments and Training Models
- Introduction to Experiments
- Training and Registering Models
Module 4: Working with Data
- Working with Datastores
- Working with Datasets
Module 5: Compute Contexts
- Working with Environments
- Working with Compute Targets
Module 6: Orchestrating Operations with Pipelines
- Introduction to Pipelines
- Publishing and Running Pipelines
Module 7: Deploying and Consuming Models
- Real-time Inferencing
- Batch Inferencing
Module 8: Training Optimal Models
- Hyperparameter Tuning
- Automated Machine Learning
Module 9: Interpreting Models
- Introduction to Model Interpretability
- Using Model Explainers
Module 10: Monitoring Models
- Monitoring Models with Application Insights
- Monitoring Data Drift
