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Microsoft Exam DP-100 : Designing and Implementing a Data Science Solution on Azure

  • Course level: Intermediate

Description

Training with preparation for certification
Azure Data Scientist Associate

The recent increase in data capture and storage opens up new possibilities for organizations, thanks to data science, machine learning (machine learning) and artificial intelligence (AI)
This training will allow you to learn about Azure ML and Data Science services. It will also give you the knowledge you need to use Azure services to develop, train, and deploy machine learning solutions.
During these 3 days, you will follow the techniques of scientific rigor and data mining in the design and implementation of data science solutions with Azure, in order to obtain ethical, relevant and quality results. At the end of this training you will be able to take the DP-100 exam, Designing and Implementing a Data Science Solution on Azure, one of the prerequisites to become Azure Data Scientist Associate.

Data science on Azure

  • Overview of Data Science Processes
  • Overview of Azure data science options
  • Getting started with Azure Notebooks

Applying Data Science to Azure Machine Learning (AML) Service

  • Presentation of the AML service
  • Use of the AML service
  • Definition and implementation of machine learning models with the AML service

Automation and AML service

  • Machine learning (ML) pipeline overview
  • Introduction to AutoML and HyperDrive
  • Automating Machine Learning Model Selection
  • Automation of settings with HyperDrive

Managing and monitoring ML models with the AML service

  • Introducing ML Model Management
  • Introduction to monitoring ML models
  • Implementing the management and monitoring of machine learning (ML) models

What Will I Learn?

  • Connaitre les services Azure relatif à la science des données
  • Savoir utiliser les services Azure pour mettre au point, former et déployer des solutions d'apprentissage machine (ML)
  • Maitriser les services de science des données premières de Azure
  • Connaitre le service d'apprentissage machine Azure
  • Savoir automatiser le pipeline de la science des données
Placeholder
Free

Material Includes

  • Code formation : DP-100
  • Durée : 3 jours

Requirements

  • Avoir obtenu ou suivi le cours Azure Fundamentals certification. AZ-900
  • Connaitre les fondamentaux de la science des données
  • Savoir programmer et utiliser des bibliothèques Python
  • Les fondamentaux de Microsoft Azure, préparation à la certification AZ-900

Target Audience

  • Analyste données
  • Scientifique des données
  • Responsable données / CDO
  • Chef de projet
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