DP-100T01 DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZURE

DP-100T01 DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZURE

Summary

Location

Location

Malaysia

Duration

Duration

3 Days
Format

Format

Public Class

Public Class

Course Details

Course Code: DP-100; Instructor-led

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

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

Methodology

This program will be conducted with interactive lectures, PowerPoint presentations, discussions and practical exercises

Course Objectives

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.

Outlines

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

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

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

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

Trainers

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DP-100T01 DESIGNING AND IMPLEMENTING A DATA SCIENCE SOLUTION ON AZURE

Starting From
RM3300
Intake Date
20-22 NOV 2023
Class Type
Private, Public

Why Us

Variety of Courses

Variety of Courses

Customizable Class

Customizable Class

Consultants Facilitate

Consultants Facilitate

HRDF Claimable

HRDF Claimable

Professional Certifications

Professional Certifications

Free Chat to Get Quote

Free Chat to Get Quote

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