TI264
Information technology

Microsoft Azure : Designing and implementing a data science solution (DP-100)

Design, train, automate, and deploy models with Azure Machine Learning


This course is designed to teach how to develop, train, and deploy machine learning solutions using Microsoft Azure services. It is intended for data scientists and professionals responsible for the training and deployment of machine learning models.
Participants will explore available Azure tools for data science, gain hands-on experience with Azure Machine Learning service (AML), and learn how to automate machine learning pipelines, including model selection and hyperparameter tuning. The course also covers how to manage and monitor ML models in a production environment.

Objectives

This training course provides participants with the knowledge they need to use Azure services to develop, train and deploy machine learning solutions.

Is it for you ?

This course is designed for data scientists and others with significant responsibility for training and deploying machine learning models.

Prerequisite

Before taking this course, participants must have knowledge and skills on :
• Azure fundamentals
• Understanding of data science, including how to prepare data, train models and evaluate competing models to select the best one.
• Python programming and the use of Python libraries: pandas, scikit-learn, matplotlib and seaborn

Your benefits

  • Design data science solutions using appropriate Azure services
  • Build, train, and deploy machine learning models with Azure Machine Learning
  • Automate model selection and hyperparameter tuning using AutoML and HyperDrive
  • Manage the full model lifecycle from registration to production deployment
  • Monitor and improve model performance using Azure tracking and monitoring tools
  • Content

    Doing Data Science on Azure

    • Overview of Azure Data Science options
    • Overview of Azure Notebooks

    Doing Data Science with Azure Machine Learning Service

    • Overview of the Azure Machine Learning (AML) service
    • Registering and deploying ML models with the AML service

    Automate machine learning with Azure Machine Learning Service

    • Automate machine learning model selection
    • Automate hyperparameter settings with HyperDrive

    Manage and monitor machine learning models with Azure Machine Learning Service

    • Manage and monitor machine learning models.

    💡 Useful information

    Our training sessions are offered in Montreal or Quebec City, in person or in virtual format. Dates and locations are provided when you select your session below. If you have any questions regarding registration, schedules, the language of instruction, or cancellation policies, please consult our FAQ .

    Trainers

    Upcoming information
    Duration
    4 days
    Schedule
    See training dates for details
    Regular fee
    $2,070
    Preferential fee A preferential rate is offered to public institutions, to members of certain professional organizations as well as to companies that do a certain amount of business with Technologia. To know more, please read the "Registration and rates" section on our FAQ page. Please note that preferential rates are not available for online training courses. Discounts cannot be combined with other offers.
    $1,865
    Private or personalized training

    Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.

    Request a quote

    Request in-company training

    Do you have several employees interested in the same training course? Whether in person at your offices or remotely in virtual mode, we offer private training courses tailored to your team's needs. Group rates are available. Contact us for more details or request a quote online.

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