We are happy to advise you!
0845 470 1000     Contact

Instructor-Led Online Training (ILO)
Live Online Classes in the Virtual Classroom

Find out more and view dates

Designing and Implementing a Data Science Solution on Azure (DP-100T01)

 

Course Overview

DP-100 is an outstanding data science course that our students have found of great value.

It is important to reinforce however that this course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

Before attending this course, students MUST have:

  • Deep experience in training, building, and evaluating machine learning models
  • A solid command of Python and its data science libraries including: pandas, scikit-learn, matplotlib, and seaborn.
  • Experience with statistical learning concepts such as: regression, correlation, normalization, feature importance, and AUC - ROC
  • Azure Fundamentals

Microsoft Exam Center – The Certification Success Program

Book your course with Fast Lane and gain access to the following services FREE OF CHARGE:

  • Online Self-Assessments - Pre and Post Training
  • Live Exam Prep Study Sessions
  • Practice Tests

For more information visit our Microsoft Exam Center.

Who should attend

This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

Certifications

This course is part of the following Certifications:

Prerequisites

Before attending this course, students must have:

  • A fundamental knowledge of Microsoft Azure
  • Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
  • Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.

Course Objectives

  • Introduction to Azure Machine Learning
  • No-Code Machine Learning with Designer
  • Running Experiments and Training Models
  • Working with Data
  • Compute Contexts
  • Orchestrating Operations with Pipelines
  • Deploying and Consuming Models
  • Training Optimal Models
  • Interpreting Models
  • Monitoring Models

Course Content

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Online Training

Duration 3 days

Price (excl. VAT)
  • £ 1,645.-
Enroll now
Classroom Training

Duration 3 days

Price (excl. VAT)
  • United Kingdom: £ 1,645.-
Enroll now

Schedule

This course is guaranteed to run. Please see our complete terms and conditions for full details of this offer.
Instructor-led Online Training:   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. Please note, local pricing is applicable.
English
Time zone GMT
Online Training Time zone: Greenwich Mean Time (GMT)
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: Greenwich Mean Time (GMT)
1 hour difference
Online Training This is an English language FLEX course.
Time zone: Central European Summer Time (CEST)
Online Training This is an English language FLEX course.
Time zone: Central European Summer Time (CEST)
Online Training This is an English language FLEX course.
Time zone: Central European Summer Time (CEST)
3 hours difference
Online Training Time zone: UTC+3 guaranteed date!
Online Training Time zone: Gulf Standard Time (GST)
Online Training Time zone: Gulf Standard Time (GST)
4 hours difference
Online Training This is an English language FLEX course.
Time zone: IST
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Gulf Standard Time (GST)
5 hours difference
Online Training Time zone: IST
Online Training This is an English language FLEX course.
Time zone: IST
6 hours difference
Online Training Time zone: Central Daylight Time (CDT) 5 days
Online Training Time zone: Central Daylight Time (CDT) 5 days
Online Training Time zone: Central Daylight Time (CDT) 5 days
Online Training Time zone: Central Daylight Time (CDT) 5 days
Online Training Time zone: Central Daylight Time (CDT) 5 days
Online Training Time zone: Central Daylight Time (CDT) 5 days
Online Training Time zone: Central Daylight Time (CDT) 5 days
Online Training Time zone: Central Daylight Time (CDT) 5 days
+ show all dates
8 hours difference
Online Training Time zone: UTC+8
Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)
9 hours difference
Online Training Time zone: Australian Eastern Standard Time (AEST)
Online Training Time zone: Australian Eastern Standard Time (AEST)
Online Training Time zone: Australian Eastern Standard Time (AEST)
11 hours difference
Online Training Time zone: Australian Eastern Daylight Saving Time (AEDT) US$ 997.50
Online Training Time zone: Australian Eastern Daylight Saving Time (AEDT)
This is a FLEX course, which is delivered both virtually and in the classroom. Please note, local pricing is applicable.
Date on request
Location on request
United Kingdom
 London, City This is a FLEX course.   Time zone: Europe/London Enroll:
for online training
for classroom training
London, City This is a FLEX course.   Time zone: Europe/London Enroll:
for online training
for classroom training
London, City This is a FLEX course.   Time zone: Europe/London Enroll:
for online training
for classroom training
 

Accessing our website tells us you are happy to receive all our cookies. However you can change your cookie settings at any time. Find out more.
  Got it! You can continue using the site without non-essential cookies.   → Continue without marketing cookies