Use the Azure Machine Learning SDK to train a model-Welcome to the Course
Introduction to Modern Data Warehouse Analytics in Azure
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Course Syllabus
How to be successful in this course
Use the Azure Machine Learning SDK to train a model-Introduction to the Azure Machine Learning SDK
Lesson introduction
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Azure Machine Learning workspaces
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Exercise - Create a workspace
Azure Machine Learning tools and interfaces
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Azure Machine Learning experiments
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Exercise - Run experiments
Lesson summary
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Additional Reading
Use the Azure Machine Learning SDK to train a model-Train a machine learning model with Azure Machine Learning
Lesson Introduction
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Run a training script
Using script parameters
Registering models
Exercise - Training and registering a model
Lesson summary
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Work with Data and Compute in Azure Machine Learning-Work with Data in Azure Machine Learning
Lesson Introduction
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Introduction to datastores
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Use datastores
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Introduction to datasets
Use datasets
Exercise - Work with data
Lesson summary
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Additional Reading
Work with Data and Compute in Azure Machine Learning-Work with Compute in Azure Machine Learning
Lesson introduction
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Environments in Azure Machine Learning
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Creating environments
Introduction to compute targets
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Create compute targets
Use compute targets
Exercise - Work with Compute Contexts
Lesson summary
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Additional reading
Orchestrate pipelines and deploy real-time machine learning services with Azure Machine Learning-Orchestrate Machine Learning with Pipelines
Lesson introduction
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Introduction to pipelines
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Pass data between pipeline steps
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OutputFileDatasetConfig Step Inputs and Outputs
Reuse pipeline steps
Publish pipelines
Use pipeline parameters
Schedule pipelines
Exercise - Create a pipeline
Lesson summary
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Additional Reading
Orchestrate pipelines and deploy real-time machine learning services with Azure Machine Learning-Deploy real-time machine learning services with Azure Machine Learning
Lesson Introduction
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Deploy a model as a real-time service
Consume a real-time inferencing service
Troubleshoot service deployment
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Exercise - Deploy a model as a real-time service
Lesson summary
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Deploy batch inference pipelines and tune hyperparameters with Azure Machine Learning-Deploy batch inference pipelines with Azure Machine Learning
Lesson introduction
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Creating a batch inference pipeline
Publishing a batch inference pipeline
Exercise - Create a batch inference pipeline
Lesson Summery
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Deploy batch inference pipelines and tune hyperparameters with Azure Machine Learning-Tune hyperparameters with Azure Machine Learning
Lesson introduction
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Defining a search space
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Configuring sampling
Configuring early termination
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Running a hyperparameter tuning experiment
Exercise - Tune hyperparameters
Lesson summary
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Select models and protect sensitive data-Automate machine learning model selection with Azure Machine Learning
Lesson introduction
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Automated machine learning tasks and algorithms
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Preprocessing and featurization
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Running automated machine learning experiments
Exercise - Using automated machine learning
Lesson summary
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Additional Reading
Select models and protect sensitive data-Explore differential privacy
Lesson introduction
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Understand differential privacy
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Configure data privacy parameters
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Exercise - Use differential privacy
Lesson Summery
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Additional Reading
Select models and protect sensitive data-Explain machine learning models with Azure Machine Learning
Lesson introduction
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Feature importance
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Using explainers
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Creating explanations
Visualizing explanations
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Exercise - Interpret models
Lesson summary
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Additional Reading
Monitor machine learning deployments-Detect and mitigate unfairness in models with Azure Machine Learning
Lesson introduction
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Consider model fairness
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Analyze model fairness with Fairlearn
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Mitigate unfairness with Fairlearn
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Exercise - Use Fairlearn with Azure Machine Learning
Lesson summary
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Additional Reading
Monitor machine learning deployments-Monitor models with Azure Machine Learning
Lesson introduction
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Enable Application Insights
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Capture and view telemetry
Exercise - Monitor a model
Lesson summary
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Additional Reading
Monitor machine learning deployments-Monitor data drift with Azure Machine Learning
Lesson introduction
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Creating a data drift monitor
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Scheduling alerts
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Exercise - Monitor data drift
Lesson summary
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Additional Reading
Monitor machine learning deployments-Course wrap up
Congratulations
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Next steps