Öppna kurser

Implementing a Machine Learning Solution with Microsoft Azure Databricks

Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you'll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Kursmål

  • Provision an Azure Databricks workspace and cluster
  • Use Azure Databricks to train a machine learning model
  • Use MLflow to track experiments and manage machine learning models
  • Integrate Azure Databricks with Azure Machine Learning

Förkunskaper

Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts.

Målgrupp

This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks.

Kursinnehåll

  • Module 1: Introduction to Azure Databricks

    In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.

  • Module 2: Training and Evaluating Machine Learning Models

    In this module, you will learn how to use Azure Databricks to prepare data for modelling, and train and validate a machine learning model.

  • Module 3: Managing Experiments and Models

    In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

Module 4: Integrating Azure Databricks and Azure Machine Learning

In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning

 

Kursen levereras genom utbildningspartner: Learning Tree

Learning-Tree-Logo_horizontal.png