Designing and Implementing a Data Science Solution on Azure (DP-100)


Course Number: MOC-DP-100

Duration: 3 days (19.5 hours)

Format: Live, hands-on

Azure Training Overview

This Microsoft official course (DP-100), Designing and Implementing a Data Science Solution on Azure Training, teaches attendees how to operate machine learning solutions at cloud scale using Azure Machine Learning. Students learn how to leverage their 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. This course prepares students for the DP-100 exam for which every attendee receives a voucher.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some Cloud courses are available as live, online classes for individuals.

Objectives

  • Operate machine learning solutions at cloud scale using Azure Machine Learning
  • Manage data ingestion and preparation
  • Model training and deployment
  • Implement a machine learning solution in Microsoft Azure

Prerequisites

Before attending this course, students must have:
  • Taken AZ-900: Azure fundamentals or have equivalent knowledge.
  • Experience of writing Python code to work with data, using libraries such as NumPy, Pandas, and Matplotlib. 
  • Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or TensorFlow.

Outline

Introduction to the Azure Machine Learning SDK
Use Automated Machine Learning in Azure Machine Learning
Create a classification model with Azure Machine Learning designer
Train a machine learning model with Azure Machine Learning
Work with Data in Azure Machine Learning
Work with Compute in Azure Machine Learning
Orchestrate machine learning with pipelines
Deploy real-time machine learning services with Azure Machine Learning
Deploy batch inference pipelines with Azure Machine Learning
Tune hyperparameters with Azure Machine Learning
Automate machine learning model selection with Azure Machine Learning
Explore differential privacy
Explain machine learning models with Azure Machine Learning
Detect and mitigate unfairness in models with Azure Machine Learning
Monitor data drift with Azure Machine Learning
Monitor models with Azure Machine Learning
Conclusion

Training Materials

All Microsoft Azure training students receive Microsoft official courseware.

For all Microsoft Official Courses taught in their entirety that have a corresponding certification exam, an exam voucher is included for each participant.

Software Requirements

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser and a stable Internet connection. Any recent version of Microsoft Edge, Mozilla Firefox, or Google Chrome will be fine.



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