Search Results

Further Information

• DP-100: Course Overview

  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.

• DP-100: Course Modules

  Module 1: Explore and configure the Azure Machine Learning workspace

  Module 2: Experiment with Azure Machine Learning

  Module 3: Optimise model training with Azure Machine Learning

  Module 4: Manage and review models in Azure Machine Learning

  Module 5: Deploy and consume models with Azure Machine Learning

• DP-100: Course Objectives

  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.

• DP-100: 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 visualise data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow