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

 

Course Overview

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 with Azure Machine Learning and MLflow.

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

Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.

Specifically:

  • Creating cloud resources in Microsoft Azure.
  • Using Python to explore and visualize data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
  • Working with containersTo gain these prerequisite skills, take the following free online training before attending the course:
  • Explore Microsoft cloud concepts.
  • Create machine learning models.
  • Administer containers in AzureIf you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals first.

Course Content

  • Design a data ingestion strategy for machine learning projects´
  • Design a machine learning model training solution
  • Design a model deployment solution
  • Explore Azure Machine Learning workspace resources and assets
  • Explore developer tools for workspace interaction
  • Make data available in Azure Machine Learning
  • Work with compute targets in Azure Machine Learning
  • Work with environments in Azure Machine Learning
  • Find the best classification model with Automated Machine Learning
  • Track model training in Jupyter notebooks with MLflow
  • Run a training script as a command job in Azure Machine Learning
  • Track model training with MLflow in jobs
  • Run pipelines in Azure Machine Learning
  • Perform hyperparameter tuning with Azure Machine Learning
  • Deploy a model to a managed online endpoint
  • Deploy a model to a batch endpoint

Prices & Delivery methods

Online Training

Duration
4 days

Price
  • CHF 2,460.—
Classroom Training

Duration
4 days

Price
  • Switzerland: CHF 2,460.—

Schedule

Instructor-led Online Training:   Course conducted online in a virtual classroom.
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

English

1 hour difference

Online Training
Classroom option: Cairo, Egypt
Time zone: Eastern European Summer Time (EEST)
Online Training Time zone: British Summer Time (BST)
Online Training Time zone: British Summer Time (BST)
Online Training
Classroom option: Cairo, Egypt
Time zone: Eastern European Summer Time (EEST)
Online Training Time zone: British Summer Time (BST)
Online Training
Classroom option: Cairo, Egypt
Time zone: Eastern European Summer Time (EEST)
Online Training
Classroom option: Cairo, Egypt
Time zone: Eastern European Time (EET)
Online Training Time zone: Greenwich Mean Time (GMT)

2 hours difference

Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)
Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)
Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)
Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)

3 hours difference

Online Training Time zone: India Standard Time (IST)
Online Training
Classroom option: Dubai, United Arab Emirates
Time zone: Gulf Standard Time (GST)

6 hours difference

Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: UTC+8
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Daylight Time (EDT)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)

7 hours difference

Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training 3 days Time zone: Central Daylight Time (CDT)
Online Training 3 days Time zone: Central Daylight Time (CDT)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
Online Training Time zone: Eastern Standard Time (EST)
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8 hours difference

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)

10 hours difference

Online Training Time zone: Australian Eastern Daylight Saving Time (AEDT)
FLEX Classroom Training (hybrid course):   Course participation either on-site in the classroom or online from the workplace or from home.

Switzerland

Zurich
Zurich
Zurich
Zurich
Zurich

Germany

Hamburg This is a FLEX course in German language. Time zone: Central European Summer Time (CEST)
Munich This is a FLEX course in German language. Time zone: Central European Summer Time (CEST)
Berlin This is a FLEX course in German language. Time zone: Central European Summer Time (CEST)
Hamburg This is a FLEX course in German language. Time zone: Central European Summer Time (CEST)
Frankfurt This is a FLEX course in German language. Time zone: Central European Time (CET)
Munich This is a FLEX course in German language. Time zone: Central European Time (CET)

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