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Designing and Implementing a Data Science Solution on Azure (DP-100)

 

Course Overview

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.

Who should attend

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

Prerequisites

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 Content

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 to automate the data science process end to end.

Lessons
  • Introduce Azure Machine Learning (AML) service
  • Register and deploy ML models with AML service
Module 3: 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.

Lessons
  • Automate Machine Learning Model Selection
  • Automate Hyperparameter Tuning with HyperDrive
Module 4: 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.

Lessons
  • Manage and Monitor Machine Learning Models
Online Training

Duration 3 days

Price
  • India: US$ 1,495.-
Dates and Booking
Classroom Training

Duration 3 days

Price
  • Singapore: US$ 1,995.-
  • India: US$ 1,495.-
Dates and Booking
 
Click on town name to book Schedule
Date on request
Location on request
Asia Pacific
Australia
 25/05/2020 ― 27/05/2020 Online Training Time zone: Australia/Melbourne Course language: English Enroll
24/08/2020 ― 26/08/2020 Online Training Time zone: Australia/Sydney Course language: English Enroll
21/11/2020 ― 23/11/2020 Online Training Time zone: Australia/Melbourne Course language: English Enroll
Singapore
 19/10/2020 ― 21/10/2020 Online Training Time zone: Asia/Singapore Course language: English Enroll
China
 23/06/2020 ― 25/06/2020 Online Training Time zone: Asia/Shanghai Course language: English Enroll
18/08/2020 ― 20/08/2020 Online Training Time zone: Asia/Shanghai Course language: English Enroll
08/12/2020 ― 10/12/2020 Online Training Time zone: Asia/Shanghai Course language: English Enroll

Fast Lane Flex™ Classroom If you can't find a suitable date, don't forget to check our world-wide FLEX™ training schedule.

iTLS will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.