DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks
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Course
DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks
Learn how to use Azure Databricks to explore, prepare, and model data. Build the valuable skills required to integrate Databricks machine learning processes with Azure Machine Learning.
Benefit from instructor-led preparation for the DP-090 certification exam with tips, tricks, guidance, and mentored support.
Online Live Classes
Mentored
Beginner
DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks is a one-day intermediate-level course for data scientists. It is ideally suited to professionals who have experience in Python and who are looking to apply their data science and machine learning (ML) skills on Azure Databricks. Azure Databricks is a cloud-scale platform for data analytics and machine learning. This course explains how to use Azure Databricks to explore, prepare, and model data, as well as to integrate Databricks machine learning processes with Azure Machine Learning.
During this course, you will learn how to provision the Azure Databricks workspace and cluster and use it. Through hands-on labs, you will practice using Azure Databricks to prepare data for modeling, training, and validating a ML model. Plus, you will deploy and manage models and track experiments using MLflow Azure Machine.
Overall, this course will prepare you for taking the DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks certification exam. Entry for the exam is not included. However, you will get a clear overview of the Microsoft certification process, plus you will get tips and tricks, testing strategies, practice questions, and useful information to help you pass the exam successfully.
This course comprises 4 purposely designed modules that take you on a carefully defined learning journey.
It is an instructor-led course which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exam questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.
Once you have successfully completed the course, you will earn your Certificate of Completion.
After completing this course, you 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.
- Data scientists.
- Professionals looking to build their knowledge and skills of data analytics and ML with Azure Databricks.
- Before enrolling in this course you should have experience of using Python to work with data, and some knowledge of machine learning concepts.
- We also recomend that you have completed the following learning path on Microsoft Learn: Create machine learning models.
This course will help you to prepare for the DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks certification exam.
You will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.
- You will become familiar with the Azure Databricks workspace and cluster.
- You will use Azure Databricks to train a machine learning model.
- You will integrate Azure Databricks with Azure Machine Learning.
When you take this course, you will also get information and guidance on the Microsoft certification process, knowledge checks and practice questions, and useful tips on how to pass the exam.