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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

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
Modality: L

Duration 3 days

Dates and Booking
Classroom Training
Modality: C

Duration 3 days

Dates and Booking

Schedule

English
Time zone Central European Summer Time (CEST)
Online Training Time zone: Central European Time (CET)
1 hour difference
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: Eastern European Summer Time (EEST)
Online Training This is an English language FLEX course.
Time zone: British Summer Time (BST)
Online Training Time zone: Eastern European Summer Time (EEST)
Online Training This is an English language FLEX course.
Time zone: British Summer Time (BST)
Online Training This is an English language FLEX course.
Time zone: Greenwich Mean Time (GMT)
2 hours difference
Online Training Time zone: Gulf Standard Time (GST) Guaranteed date!
Online Training Time zone: Gulf Standard Time (GST)
Online Training Time zone: Gulf Standard Time (GST)
3 hours difference
Online Training Time zone: Gulf Standard Time (GST)
4 hours difference
Online Training This is an English language FLEX course.
Time zone: IST
5 hours difference
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
7 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)
Online Training Time zone: Central Daylight Time (CDT)
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: Australian Eastern Standard Time (AEST)
Online Training Time zone: Australian Eastern Standard Time (AEST)
9 hours difference
Online Training Time zone: Pacific Daylight Time (PDT)
Online Training Time zone: Pacific Daylight Time (PDT)
Guaranteed date:   Fast Lane 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.
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. All FLEX courses are also Instructor-led Online Trainings (ILO).
Slovenia

Currently no local training dates available.  For enquiries please write to info@fastlane.si.

This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).
 

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