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Autoryzowane szkolenia MicrosoftDP 100T01 Designing and Implementing a Data Science Solution on Azure

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Microsoft Certified Professional (MCP)

Order Microsoft Certified Professional (MCP) voucher

See details

We organise Pearson VUE exams

As Pearson VUE Authorized Test Center, we enable taking the exams provided by Perason VUE.

See details

ATTENTION!

The training takes place on a BYOL (Bring Your Own Laptop) basis. This means that you must bring your own laptop to the training or inform us if you do not have one.

About this course

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy machine learning solutions.

The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Prerequisites:

  • Earned Azure Fundamentals certification.
  • Understanding of data science, including how to prepare data, train models, and evaluate competing models to select the best one.
  • How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.

Course Outline

Module 1: Doing Data Science on Azure
The student will learn about the data science process and the role of the Data Scientist. This is then applied to understand how Azure services can support and augment the data science process.

Lessons

  • Introduce the Data Science Process
  • Overview of Azure Data Science Options
  • Introduce Azure Notebooks

Module 2: Doing Data Science with Azure Machine Learning service
The student will learn how to use Azure Machine Learning service (AML) to automate the data science process end-to-end.

Lessons

  • Introduce AML service
  • Register and deploy ML models with AML service

Module 3: Automate Machine Learning with AML service
In this module, the student will learn about the machine learning pipeline and how the AML service's AutoML and HyperDrive can automate some of the laborious parts of it.

Lessons

  • Automate Machine Learning Model Selection
  • Automate Hyperparameter Tuning with HyperDrive

Module 4: Manage and Monitor Machine Learning Models with the AML service
In this module, the student will learn how to automatically manage and monitor machine learning models in the AML service.

Lessons

  • Manage and Monitor Machine Learning Models

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