Toronto Azure Machine Learning Training Series*

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Instructor led Online | Video Conference

Online - please disregard address & map locations.

Toronto, Ontario Canada


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Azure Machine Learning Preview


Register for any of these upcoming Azure Machine Learning Courses in:

May - http://bit.ly/2nCMgLB

June - http://bit.ly/2o1sVHd

July - http://bit.ly/2oAqm06

Video Conference details

To be sent after registration and payment.

Classes starting

Why Azure Machine Learning training from Omni212?

1. Our Azure Machine Learning training is very hands on. There will be data sets available to practice.
2. Our Instructors are Azure Machine learning experts who actively work with customers and help them with Machine learning, data science, AI.
3 Upon Registration and payment, immediate access to the course material on the cloud is immediately provided. (There will be no refund once access is provided)
4. Class recordings for this class will be made available.
5. Post class support
6. Career advancement and Job placement assistance

Training Session Details

There will be 8 online sessions, each session being of 2 hours. Every session will have presentation about theory, concepts and technology, followed by time with Hands-on Lab practice exercises.

Training Dates

  • Azure Machine Learning Training Starting May 1 - May 1, 3, 8, 10, 15, 17, 22, 24
  • Azure Machine Learning Training Starting June 5 - June 5, 7, 12, 14, 19, 21, 26, 28
  • Azure Machine Learning Training Starting July 5 - July 5, 10, 12, 17, 19, 26, 31

Monday and Wednesday every week

Times: 6:30 PM - 8:30 PM US Pacific Time


Desired but not required - exposure to Python or R language

Course Outline

1. Introduction to the Science of Data

Shows how Azure Machine Learning represents a critical step forward in democratizing data science by making available a fully-managed cloud service for building predictive analytics solutions.

2. Getting Started with Azure Machine Learning

Covers the basic concepts behind the science and methodology of predictive analytics.

  1. Using Azure ML Studio

Explores the basic fundamentals of Azure Machine Learning Studio and helps you get started on your path towards data science greatness.

4. Creating Azure Machine Learning Client and Server Applications

Expands on a working Azure Machine Learning predictive model and explores the types of client and server applications that you can create to consume Azure Machine Learning web services.

5. Regression Analytics

Takes a deeper look at some of the more advanced machine learning algorithms that are exposed in Azure ML Studio

6. Cluster Analytics

Explores scenarios where the machine conducts its own analysis on the dataset, determines relationships, infers logical groupings, and generally attempts to make sense of chaos by literally determining the forests from the trees.

7. The Azure ML Matchbox Recommender

Explains one of the most powerful and pervasive implementations of predictive analytics in use today on the web today and how it is crucial to success in many consumer industries.

8. Retraining Azure ML models

Explores the mechanisms for incorporating “continuous learning” into the workflow for our predictive models.

Class Size: Maximum 15


1. 100% refund will be provided under the following circumstances:

  • In case Omni212 cancels or reschedules the class.
  • If the student cancels or raises a refund 48 hours before the start of course.

2. 50% refund will be issued under the circumstance that:

  • Student raises a refund request no later than 3 days after the first training session.

3. No refund will be provided under the following circumstances:

  • Student raises a request more than 3 days after start of the course.
  • Student registers for the course and does not attend the course for whatever reason.
  • Once access to the course material on the cloud has been provided, no refund will be provided.

4. Refunds will be issued within 15 days once the request has been approved.

keywords - azure ml, cortana

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Date and Time


Instructor led Online | Video Conference

Online - please disregard address & map locations.

Toronto, Ontario Canada


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