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DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks

Guaranteed to Run Scheduled Fully Booked
Location
Auldhouse Anywhere
Wellington
Nov 2021
15
Dec 2021
23
Feb 2022
4
May 2022
6
Aug 2022
5
Nov 2022
4
Code: DP-090
Length: 1 Day
Overview

Azure Databricks is a cloud-scale platform for data analytics and machine learning.

Delivery format(s)
On-Site
On-Site
Classroom
Classroom
Anywhere
Anywhere
OBJECTIVES
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.
PREREQUISITES

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

WHAT YOU’LL LEARN
  • 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
WHO SHOULD ATTEND

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

COURSE OUTLINE

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.
Lessons

  • Getting Started with Azure Databricks
  • Working with Data in Azure Databricks

After completing this module, you will be able to:

  • Provision an Azure Databricks workspace and cluster
  • Use Azure Databricks 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 modeling, and train and validate a machine learning model.
Lessons

  • Preparing Data for Machine Learning
  • Training a Machine Learning Model

After completing this module, you will be able to use Azure Databricks to:

  • Prepare data for modeling
  • 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.
Lessons

  • Using MLflow to Track Experiments
  • Managing Models

After completing this module, you will be able to:

  • Use MLflow to track experiments
  • Manage 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
Lessons

  • Tracking Experiments with Azure Machine Learning
  • Deploying Models

After completing this module, you will be able to:

  • Run Azure Machine Learning experiments on Azure Databricks compute
  • Deploy models trained on Azure Databricks to Azure Machine Learning

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