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

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

  • Duration

    4 dagen
  • Price

    2350,-
  • 8,9

    Reviews

    1000+ reviews
  • Schedule

    Planning ophalen...

We offer you a free Microsoft exam voucher.

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.

Objectives

  • Rampup in order to pass for for exam DP-100 ‘Designing and Implementing a Data Science Solution on Azure’. This earns you the cerfication Microsoft Certified: Azure Data Scientist Associate.

Target audience

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.

Requirements

If you are completely new to data science and machine learning, please complete Microsoft Azure AI Fundamentals (AI-900) first.

You must also have experience with:

  • Using Python to explore and visualize data.

  • Creating cloud resources in Microsoft Azure.

  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.

  • Working with containers

Topics

  • Introduction to the Azure Machine Learning SDK
  • Use Automated Machine Learning in Azure Machine Learning
  • Create a classification model with Azure Machine Learning designer
  • Train a machine learning model with Azure Machine Learning
  • Work with Data in Azure Machine Learning
  • Work with Compute in Azure Machine Learning
  • Deploy real-time machine learning services with Azure Machine Learning
  • Deploy batch inference pipelines with Azure Machine Learning
  • Tune hyperparameters with Azure Machine Learning
  • Automate machine learning model selection with Azure Machine Learning
  • Explore differential privacy
  • Explain machine learning models with Azure Machine Learning
  • Detect and mitigate unfairness in models with Azure Machine Learning
  • Monitor data drift with Azure Machine Learning
  • Monitor models with Azure Machine Learning

Schedule & Price

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

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