DP-090 Implementing a Machine Learning Solution with Microsoft Azure Databricks
Categories:
AI/Machine Learning, Cloud Computing, Intermediate Level
Description
Azure Databricks is a cloud-scale platform for data analytics and machine learning. This one-day course teaches how to use Azure Databricks to explore, prepare, and model data, and integrate Databricks machine learning processes with Azure Machine Learning.
Learning Outcomes
- 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
Prerequisites
Experience in using Python to work with data and knowledge of machine learning concepts. Completion of the Microsoft Learn path ‘Create machine learning models’.
Prerequisite Courses
- Create machine learning models on Microsoft Learn
Target Audiences
- Data scientists with experience in Python who need to learn how to apply their data science and machine learning skills on Azure Databricks.
Level Intermediate
391 students
Featured Review
"This course provided practical skills in deploying machine learning models with Azure Databricks, significantly improving our data workflows. - Rajesh Kumar, Data Scientist at a global tech firm"