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Build and Operate Machine Learning Solutions with Azure
  • Level Professional
  • المدة 32 ساعات hours
  • الطبع بواسطة Microsoft
  • Offered by

عن

Azure Machine Learning is a cloud platform for training, deploying, managing, and monitoring machine learning models. In this course, you will learn how to use the Azure Machine Learning Python SDK to create and manage enterprise-ready ML solutions. This is the third course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azurecertification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

الوحدات

Welcome to the Course

    • 1 Videos
    • 2 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Meet and Greet

1 Videos

  • Introduction to Modern Data Warehouse Analytics in Azure

2 Readings

  • Course Syllabus
  • How to be successful in this course

Introduction to the Azure Machine Learning SDK

    • 5 Videos
    • 3 Readings
    • 1 Quiz
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise quiz
  • Exercise quiz

5 Videos

  • Lesson introduction
  • Azure Machine Learning workspaces
  • Azure Machine Learning tools and interfaces
  • Azure Machine Learning experiments
  • Lesson summary

3 Readings

  • Exercise - Create a workspace
  • Exercise - Run experiments
  • Additional Reading

1 Quiz

  • Knowledge check

Train a machine learning model with Azure Machine Learning

    • 2 Videos
    • 4 Readings
    • 3 Quiz
Show info about module content

2 Videos

  • Lesson Introduction
  • Lesson summary

4 Readings

  • Run a training script
  • Using script parameters
  • Registering models
  • Exercise - Training and registering a model

3 Quiz

  • Exercise quiz
  • Knowledge check
  • Test prep

Work with Data in Azure Machine Learning

    • 4 Videos
    • 4 Readings
    • 1 Quiz
    • 1 Assignment
Show info about module content

1 Assignment

  • Exercise quiz

4 Videos

  • Lesson Introduction
  • Introduction to datastores
  • Use datastores
  • Lesson summary

4 Readings

  • Introduction to datasets
  • Use datasets
  • Exercise - Work with data
  • Additional Reading

1 Quiz

  • Knowledge check

Work with Compute in Azure Machine Learning

    • 4 Videos
    • 5 Readings
    • 3 Assignment
Show info about module content

3 Assignment

  • Exercise quiz
  • Knowledge check
  • Test prep

4 Videos

  • Lesson introduction
  • Environments in Azure Machine Learning
  • Introduction to compute targets
  • Lesson summary

5 Readings

  • Creating environments
  • Create compute targets
  • Use compute targets
  • Exercise - Work with Compute Contexts
  • Additional reading

Orchestrate Machine Learning with Pipelines

    • 4 Videos
    • 7 Readings
    • 1 Quiz
    • 1 Assignment
Show info about module content

1 Assignment

  • Exercise quiz

4 Videos

  • Lesson introduction
  • Introduction to pipelines
  • Pass data between pipeline steps
  • Lesson summary

7 Readings

  • Define and use pipeline components
  • Reuse pipeline steps
  • Publish pipelines
  • Use pipeline parameters
  • Schedule pipelines
  • Exercise - Create a pipeline
  • Additional Reading

1 Quiz

  • Knowledge check

Deploy real-time machine learning services with Azure Machine Learning

    • 3 Videos
    • 3 Readings
    • 2 Quiz
    • 1 Assignment
Show info about module content

1 Assignment

  • Exercise quiz

3 Videos

  • Lesson Introduction
  • Troubleshoot service deployment
  • Lesson summary

3 Readings

  • Deploy a model as a real-time service
  • Consume a real-time inferencing service
  • Exercise - Deploy a model as a real-time service

2 Quiz

  • Knowledge check
  • Test prep

Deploy batch inference pipelines with Azure Machine Learning

    • 2 Videos
    • 3 Readings
    • 2 Quiz
Show info about module content

2 Videos

  • Lesson introduction
  • Lesson Summery

3 Readings

  • Creating a batch inference pipeline
  • Publishing a batch inference pipeline
  • Exercise - Create a batch inference pipeline

2 Quiz

  • Exercise quiz
  • Knowledge check

Tune hyperparameters with Azure Machine Learning

    • 4 Videos
    • 3 Readings
    • 2 Quiz
    • 1 Assignment
Show info about module content

1 Assignment

  • Exercise quiz

4 Videos

  • Lesson introduction
  • Defining a search space
  • Configuring early termination
  • Lesson summary

3 Readings

  • Configuring sampling
  • Running a hyperparameter tuning experiment
  • Exercise - Tune hyperparameters

2 Quiz

  • Knowledge check
  • Test prep

Automate machine learning model selection with Azure Machine Learning

    • 4 Videos
    • 3 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise quiz
  • Knowledge check

4 Videos

  • Lesson introduction
  • Automated machine learning tasks and algorithms
  • Preprocessing and featurization
  • Lesson summary

3 Readings

  • Running automated machine learning experiments
  • Exercise - Using automated machine learning
  • Additional Reading

Explore differential privacy

    • 4 Videos
    • 2 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise quiz
  • Knowledge check

4 Videos

  • Lesson introduction
  • Understand differential privacy
  • Configure data privacy parameters
  • Lesson Summery

2 Readings

  • Exercise - Use differential privacy
  • Additional Reading

Explain machine learning models with Azure Machine Learning

    • 5 Videos
    • 3 Readings
    • 3 Assignment
Show info about module content

3 Assignment

  • Exercise quiz
  • Knowledge check
  • Test prep

5 Videos

  • Lesson introduction
  • Feature importance
  • Using explainers
  • Visualizing explanations
  • Lesson summary

3 Readings

  • Creating explanations
  • Exercise - Interpret models
  • Additional Reading

Detect and mitigate unfairness in models with Azure Machine Learning

    • 5 Videos
    • 2 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise quiz
  • Knowledge check

5 Videos

  • Lesson introduction
  • Consider model fairness
  • Analyze model fairness with Fairlearn
  • Mitigate unfairness with Fairlearn
  • Lesson summary

2 Readings

  • Exercise - Use Fairlearn with Azure Machine Learning
  • Additional Reading

Monitor models with Azure Machine Learning

    • 3 Videos
    • 3 Readings
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise quiz
  • Knowledge check

3 Videos

  • Lesson introduction
  • Enable Application Insights
  • Lesson summary

3 Readings

  • Capture and view telemetry
  • Exercise - Monitor a model
  • Additional Reading

Monitor data drift with Azure Machine Learning

    • 4 Videos
    • 2 Readings
    • 3 Assignment
Show info about module content

3 Assignment

  • Exercise quiz
  • Knowledge check
  • Test prep

4 Videos

  • Lesson introduction
  • Creating a data drift monitor
  • Scheduling alerts
  • Lesson summary

2 Readings

  • Exercise - Monitor data drift
  • Additional Reading

Course wrap up

    • 1 Videos
    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Reflect on learning

1 Videos

  • Congratulations

1 Readings

  • Next steps

Auto Summary

This professional-level course, "Build and Operate Machine Learning Solutions with Azure," focuses on leveraging the Azure Machine Learning cloud platform. Designed for data scientists with Python and ML framework knowledge, it covers data management, model training, deployment, and monitoring using Azure. The course, part of a five-course program for the DP-100 certification exam, spans 1920 minutes and is available through Coursera's Starter subscription. Instructor-led, it includes practical applications with Azure Databricks integration. Ideal for enhancing your expertise in creating enterprise-ready ML solutions on Azure.

Microsoft
Instructor

Microsoft