Udemy, Coursera, 2U/edX Face Lawsuits Over Meta Pixel Use

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Microsoft

Build and operate machine learning solutions with Azure Machine Learning

Microsoft via Microsoft Learn

Go to class Write review

Overview

  • Module 1: Introduction to the Azure Machine Learning SDK

    • In this module, you will learn how to:

    • Provision an Azure Machine Learning workspace.
    • Use tools and interfaces to work with Azure Machine Learning.
    • Run code-based experiments in an Azure Machine Learning workspace.
  • Module 2: Train a machine learning model with Azure Machine Learning

    • In this module, you will learn how to:

    • Use a ScriptRunConfig to run a model training script as an Azure Machine Learning experiment.
    • Create reusable, parameterized training scripts.
    • Register trained models.
  • Module 3: Work with Data in Azure Machine Learning
    • Create and use datastores in an Azure Machine Learning workspace.
    • Create and use datasets in an Azure Machine Learning workspace.
  • Module 4: Work with Compute in Azure Machine Learning
    • Work with environments
    • Work with compute targets
  • Module 5: Orchestrate machine learning with pipelines
    • Create Pipeline steps
    • Pass data between steps
    • Publish and run a pipeline
    • Schedule a pipeline
  • Module 6: Deploy real-time machine learning services with Azure Machine Learning

    • In this module, you will learn how to:

    • Deploy a model as a real-time inferencing service.
    • Consume a real-time inferencing service.
    • Troubleshoot service deployment
  • Module 7: Deploy batch inference pipelines with Azure Machine Learning

    • Learn how to create, publish, and use batch inference pipelines with Azure Machine Learning.

  • Module 8: Tune hyperparameters with Azure Machine Learning

    • Learn how to use Azure Machine Learning hyperparameter tuning experiments to optimize model performance.

  • Module 9: Automate machine learning model selection with Azure Machine Learning

    • In this module, you will learn how to:

    • Use Azure Machine Learning's automated machine learning capabilities to determine the best performing algorithm for your data.
    • Use automated machine learning to preprocess data for training.
    • Run an automated machine learning experiment.
  • Module 10: Explore differential privacy

    • After completing this module, you'll be able to:

    • Articulate the problem of data privacy
    • Describe how differential privacy works
    • Configure parameters for differential privacy
    • Perform differentially private data analysis
  • Module 11: Explain machine learning models with Azure Machine Learning

    • Learn how to explain models by calculating and interpreting feature importance.

  • Module 12: Detect and mitigate unfairness in models with Azure Machine Learning

    • In this module, you will learn:

    • How to evaluate machine learning models for fairness.
    • How to mitigate predictive disparity in a machine learning model.
  • Module 13: Monitor models with Azure Machine Learning

    • Learn how to use Azure Application Insights to monitor a deployed Azure Machine Learning model.

  • Module 14: Monitor data drift with Azure Machine Learning

    • Learn how to monitor data drift in Azure Machine Learning.

  • Module 15: Explore and experiment with securing a machine learning environment to ensure data remains private and models are accurate.

    • In this module, you will:

    • Apply and understand Role-Based Access Control in Azure Machine Learning
    • Describe how secrets are managed in Azure Machine Learning
    • Use an Azure Machine Learning workspace with Azure Virtual Network

Syllabus

  • Module 1: Introduction to the Azure Machine Learning SDK
    • Introduction
    • Azure Machine Learning workspaces
    • Exercise - Create a workspace
    • Azure Machine Learning tools and interfaces
    • Azure Machine Learning experiments
    • Exercise - Run experiments
    • Knowledge check
    • Summary
  • Module 2: Train a machine learning model with Azure Machine Learning
    • Introduction
    • Run a training script
    • Using script parameters
    • Registering models
    • Exercise - Training and registering a model
    • Knowledge check
    • Summary
  • Module 3: Work with Data in Azure Machine Learning
    • Introduction
    • Introduction to datastores
    • Use datastores
    • Introduction to datasets
    • Use datasets
    • Exercise - Work with data
    • Knowledge check
    • Summary
  • Module 4: Work with Compute in Azure Machine Learning
    • Introduction
    • Introduction to environments
    • Introduction to compute targets
    • Create compute targets
    • Use compute targets
    • Exercise - Work with Compute Contexts
    • Knowledge check
    • Summary
  • Module 5: Orchestrate machine learning with pipelines
    • Introduction
    • Introduction to pipelines
    • Pass data between pipeline steps
    • Reuse pipeline steps
    • Publish pipelines
    • Use pipeline parameters
    • Schedule pipelines
    • Exercise - Create a pipeline
    • Knowledge check
    • Summary
  • Module 6: Deploy real-time machine learning services with Azure Machine Learning
    • Introduction
    • Deploy a model as a real-time service
    • Consume a real-time inferencing service
    • Troubleshoot service deployment
    • Exercise - Deploy a model as a real-time service
    • Knowledge check
    • Summary
  • Module 7: Deploy batch inference pipelines with Azure Machine Learning
    • Introduction
    • Creating a batch inference pipeline
    • Publishing a batch inference pipeline
    • Exercise - Create a batch inference pipeline
    • Knowledge check
    • Summary
  • Module 8: Tune hyperparameters with Azure Machine Learning
    • Introduction
    • Defining a search space
    • Configuring sampling
    • Configuring early termination
    • Running a hyperparameter tuning experiment
    • Exercise - Tune hyperparameters
    • Knowledge check
    • Summary
  • Module 9: Automate machine learning model selection with Azure Machine Learning
    • Introduction
    • Automated machine learning tasks and algorithms
    • Preprocessing and featurization
    • Running automated machine learning experiments
    • Exercise - Using automated machine learning
    • Knowledge check
    • Summary
  • Module 10: Explore differential privacy
    • Introduction
    • Understand differential privacy
    • Configure data privacy parameters
    • Exercise - Use differential privacy
    • Knowledge check
    • Summary
  • Module 11: Explain machine learning models with Azure Machine Learning
    • Introduction
    • Feature importance
    • Using explainers
    • Creating explanations
    • Visualizing explanations
    • Exercise - Interpret models
    • Knowledge check
    • Summary
  • Module 12: Detect and mitigate unfairness in models with Azure Machine Learning
    • Introduction
    • Consider model fairness
    • Analyze model fairness with Fairlearn
    • Mitigate unfairness with Fairlearn
    • Exercise - Use Fairlearn with Azure Machine Learning
    • Knowledge check
    • Summary
  • Module 13: Monitor models with Azure Machine Learning
    • Introduction
    • Enable Application Insights
    • Capture and view telemetry
    • Exercise - Monitor a model
    • Knowledge check
    • Summary
  • Module 14: Monitor data drift with Azure Machine Learning
    • Introduction
    • Creating a data drift monitor
    • Scheduling alerts
    • Exercise - Monitor data drift
    • Knowledge check
    • Summary
  • Module 15: Explore security concepts in Azure Machine Learning
    • Introduction
    • What is role-based access control?
    • Exercise – Setup Azure Machine Learning with custom roles
    • Keys and secrets with Azure Key Vault
    • Secure your Azure Machine Learning network
    • Exercise - Setup a secure Azure Virtual Network
    • Knowledge check
    • Summary

Tags

Reviews

Start your review of Build and operate machine learning solutions with Azure Machine Learning

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.