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CertKit DP-100: Designing and Implementing a Data Science Solution on Azure

Description

Cert Toolkit
In-depth e-learning content includes 365-day online access to elearning, exam quizzes, tips and information.
MeasureUp practice test is available for 60 days which starts with the first time you access the practice test area.
Some CertKit Titles include online mentoring for 365 days. Please check DETAILS section below to see if mentoring is included for this title.

Release date: 07/2021

Role based:

Data Scientist

More Information

CertKit DP-100: Designing and Implementing a Data Science Solution on Azure

CertKit DP-100: Designing and Implementing a Data Science Solution on Azure


$319.00
- +
Checkout

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This CertKit 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.

Prerequisites:

Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques. Specifically:

  • Creating cloud resources in Microsoft Azure.
  • Using Python to explore and visualize data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
  • Working with containers.

If you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals (AI-900) first.

Course outcome:

In this course, you will learn to:

  • Provision an Azure Machine Learning workspace
  • Use tools and code to work with Azure Machine Learning
  • Use automated machine learning to train a machine learning model
  • Use Azure Machine Learning designer to train a model
  • Run code-based experiments in an Azure Machine Learning workspace
  • Create and use datastores and datasets
  • Create and use environments and compute targets

Who should attend:

This course is designed 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.

CertKit content:

  • E-learning courses:
    • DP-100 - Azure Data Scientist Associate: Machine Learning
    • DP-100 - Azure Data Scientist Associate: Machine Learning Classification Models
    • DP-100 - Azure Data Scientist Associate: Machine Learning Clustering Models
    • DP-100 - Azure Data Scientist Associate: Project Jupyter & Notebooks
    • DP-100 - Azure Data Scientist Associate: Azure Machine Learning Workspaces
    • DP-100 - Azure Data Scientist Associate: Azure Data Platform Services
    • DP-100 - Azure Data Scientist Associate: Azure Storage Accounts
    • DP-100 - Azure Data Scientist Associate: Storage Strategy
    • DP-100 - Azure Data Scientist Associate: Azure Data Factory
    • DP-100 - Azure Data Scientist Associate: Non-relational Data Stores
  • MeasureUp Exam simulation
    • 130+ questions
  • Tips & Tricks
PlatformOperating SystemBrowser
Chrome 39 Firefox 34 Internet Explorer 10 and 11 Safari 8
PC W7 x86 X X X
W7 x64 X X X
W8.1 x86 X X X
W8.1 x64 X X X
MAC OSX 10.9 X X X
OSX 10.10 X X X
LINUX Linux x86 X X
Linux x64 X X
Surface Pro Windows 8 X X X
PlatformOperating SystemBrowser
Safari 8 Android Chrome 39 Internet Explorer RT Internet Explorer 11
iPad* IOS 8 X X
iPhone 5 or higher* IOS 8 X X
iPhone 4* IOS 7 X X
Android Tablet* 4.0 or higher X X
Android Phone* 4.0 or higher X X
Lumia 920 or higher* Windows Phone 8.1 X
Surface Windows RT X

*Online use only with these devices


Download System Requirements

  • Win7, Win8.1, Linux 64 bits, MAC OSX 10.9 and 10.10
  • We no longer support XP

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August 10, 2020