Course Overview

Data Scientist is the central role in developing machine learning models. This role is responsible for solving the business problem that initiated the project. While the Data Engineer will prepare the data to be used for the models, the Data Scientist determines what data is needed for model training, creates model features from the data, determines what machine learning model to use, trains and evaluates the model, and often has involvement in model deployment. Often the data scientist needs to evaluate multiple models to determine which performs the best.

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.

This Enterprise Skills Initiative Program class is for Microsoft approved clients ONLY. If you are unsure of eligibility, please contact Martha Garron via phone at 603-384-1251 or via email at [email protected].

Key Learning Areas

Define and Prepare the Development Environment:

Select development environment

  • Assess the deployment environment constraints
  • Analyze and recommend tools that meet system requirements
  • Select the development environment

Set Up Development Environment

  • Create an Azure data science environment
  • Configure data science work environments

Quantify the Business Problem

  • Define technical success metrics
  • Quantify risks

Course Outline

This certification track comes with the following benefits:

  • Digital Courseware
  • Practice Labs
  • 30-Day Azure Pass
  • Free Exam Voucher

Outline:

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.

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

Doing Data Science with Azure Machine Learning Service
The student will learn how to use Azure Machine Learning service to automate the data science process end to end.

  • Introduce Azure Machine Learning (AML) service
  • Register and deploy ML models with AML service

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

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

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

  • Manage and Monitor Machine Learning Models

Who Benefits

Microsoft and Wintellect have partnered to provide you with the latest on Azure training! Eligible Azure courses are available for purchase through this site at the special price of $500 per student, per course. Standard pricing ranges from $2500-$3000.

We hope your organization will take full advantage of this special pricing.

 

GET STARTED NOW!

Step 1: Click Eligible Azure Courses below for full course outline.

Step 2: Fill out the registration fields selecting Eligible Azure Course and class date to attend.

For Assistance
If you have questions or wish to request a course date, please contact Martha Garron via phone at 603-384-1251 or via email at [email protected].