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Designing and Implementing a Data Science Solution

Master the art of designing and implementing data science solutions on Azure with this comprehensive course. Learn to leverage Azure services effectively to develop, train, and deploy machine learning solutions, catering to the needs of data scientists and professionals handling ML model training and deployment.

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  • 18 and older
  • $2,375
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  • Online Classroom
  • 27 hours over 4 sessions

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  • $2,375
  • 27 hours over 4 sessions
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  • Tue, Jun 04 at 10:00am - 4:45pm
  • Wed, Jun 05 at 10:00am - 4:45pm
  • Thu, Jun 06 at 10:00am - 4:45pm
  • Fri, Jun 07 at 10:00am - 4:45pm
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  • Tue, Jun 25 at 10:00am - 4:45pm
  • Wed, Jun 26 at 10:00am - 4:45pm
  • Thu, Jun 27 at 10:00am - 4:45pm
  • Fri, Jun 28 at 10:00am - 4:45pm
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  • Tue, Jul 23 at 10:00am - 4:45pm
  • Wed, Jul 24 at 10:00am - 4:45pm
  • Thu, Jul 25 at 10:00am - 4:45pm
  • Fri, Jul 26 at 10:00am - 4:45pm
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  • Tue, Aug 20 at 10:00am - 4:45pm
  • Wed, Aug 21 at 10:00am - 4:45pm
  • Thu, Aug 22 at 10:00am - 4:45pm
  • Fri, Aug 23 at 10:00am - 4:45pm
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  • Tue, Sep 17 at 10:00am - 4:45pm
  • Wed, Sep 18 at 10:00am - 4:45pm
  • Thu, Sep 19 at 10:00am - 4:45pm
  • Fri, Sep 20 at 10:00am - 4:45pm
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Class Description


What you'll learn in this azure training:

Designing and Implementing a Data Science Solution on Azure

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.

Audience profile

This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.


Before attending this course, students must have:

Azure Fundamentals 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
  • Module 2: Doing Data Science with Azure Machine Learning service
  • Module 3: Automate Machine Learning with Azure Machine Learning service
  • Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Refund Policy

Cancellation / Reschedule by Student

Because we must schedule rooms, ship course materials, assign instructors and provision computer resources well in advance, it is important students alert us ASAP with any cancel/reschedule requests.

Please note the following policies:

  • If requested 16 or more calendar days before the class
    • Cancellation requests made in this timeframe are eligible for refund less 5% cancellation fee.
    • Reschedule requests made in this timeframe will be accommodated if availability exists and will be processed at no additional charge.
  • If requested 15 calendar days or less before the class
    • Cancellation or Reschedule requests made by the student 15 calendar days or less before the class starts will be charged 100% the course fee and are not entitled to a refund.


  • If you are unable to attend your class, a substitute who meets the course prerequisites may attend in your place at no additional charge for the original class title, date and location. If you cannot find a substitute, you will be subject to the class cancellation policy.

Make-up Policy

Students are permitted one (1) Make-Up opportunity to attend an instructor-led class that was paid for but not previously attended for no additional charge.

  • Make-Up class registrations are subject to availability and are not entitled to refund.
  • Students may not reschedule a Make-up class registration.
  • Any no shows or cancellations forfeit their one Make-up opportunity.

Additionally, ONLC reserves the right to retire courses due to lack of demand. Retired classes are not available for Make-Up.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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ONLC Training Centers

ONLC Training Centers was founded in 1983 when Jim Palic and Andy Williamson left their positions as mainframe programmers with the Dupont Company to start one of the industry's first computer training companies.

Over thirty years and still growing, ONLC Training Centers is one of the the largest privately...

Read more about ONLC Training Centers

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ONLC Training Centers

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