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.
Microsoft DP-090T00 - Implementing a Machine Learning Solution with Microsoft Azure Databricks
- Length 1 day
- Version A
- Register interest
Why study this course
What you’ll learn
After completing this course, students will be able to:
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
Microsoft Azure at DDLS
DDLS is your best choice for training and certification in any of Microsoft’s leading technologies and services. We’ve been delivering effective training across all Microsoft products for over 30 years, and are proud to be Australia’s First and largest Microsoft Gold Learning Solutions Partner. All DDLS Microsoft courses follow Microsoft Official Curriculum (MOC) and are led by Microsoft Certified Trainers. Join more than 5,000 students who attend our quality Microsoft courses every year.
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No matter your chosen technologies or platforms, we can help you stay one step ahead.
Who is the course for?
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.
We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please contact us via email on email@example.com
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.
Getting Started with Azure Databricks
Working with Data in Azure Databricks
Lab : Getting Started with Azure DatabricksLab : Working with Data in Azure Databricks
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.
Preparing Data for Machine Learning
Training a Machine Learning Model
Lab : Training a Machine Learning ModelLab : Preparing Data for Machine Learning
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.
Using MLflow to Track Experiments
Lab : Using MLflow to Track ExperimentsLab : Managing 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
Tracking Experiments with Azure Machine Learning
Lab : Deploying Models in Azure Machine LearningLab : Running Experiments in Azure Machine Learning
Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:
Terms & Conditions
The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.