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
  • US$ 1,499.—
Classroom Training

Duration
4 days

Price
  • Singapore: US$ 1,499.—
  • India: US$ 750.—

Click on town name or "Online Training" to book Schedule

Europe

Germany

Online Training 3 days This is a FLEX course in German language. Time zone: Central European Summer Time (CEST)
Online Training This is a FLEX course in German language. Time zone: Central European Summer Time (CEST)
Online Training This is a FLEX course in German language. Time zone: Central European Summer Time (CEST)
Online Training This is a FLEX course in German language. Time zone: Central European Time (CET)

France

Online Training 3 days This is a FLEX course in French language. Time zone: Central European Summer Time (CEST)
Online Training 3 days This is a FLEX course in French language. Time zone: Central European Summer Time (CEST)
Online Training 3 days This is a FLEX course in French language. Time zone: Central European Time (CET)

Greece

Online Training 3 days This is a FLEX course in English language. Time zone: Eastern European Summer Time (EEST)

Italy

Online Training Time zone: Central European Summer Time (CEST) Course language: Italian
Online Training This is a FLEX course in Italian language. Time zone: Central European Summer Time (CEST)
Online Training Time zone: Central European Time (CET) Course language: Italian

Poland

Online Training Time zone: Central European Summer Time (CEST) Course language: Polish
Online Training Time zone: Central European Time (CET) Course language: Polish

Slovakia

Online Training 3 days This is a FLEX course in English language. Time zone: Central European Time (CET)

United Kingdom

Online Training Time zone: British Summer Time (BST) Course language: English
Online Training Time zone: Greenwich Mean Time (GMT) Course language: English
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.