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

As you continue your learning beyond this courses you will have many resources available to you. These sites complement this course and the learning and certification journey ahead of you.

For more information on the course contents visit the Implementing a Machine Learning Solution with Microsoft Azure Databricks page.

General Learning Resources

• Azure General Learning Resources

Labs

• DP-090 Course Labs
• Learning Path

If you are missing some pre-requisites start here

• Take your first steps with Python

Resources by Course Module

Module 1

• Describe Azure Databricks
• Microsoft Learn: Read and write data in Azure Databricks
• Microsoft Learn: Work with DataFrames in Azure Databricks
• Azure Databricks

Module 2

• Perform machine learning with Azure Databricks
• Train a machine learning model
• Machine learning tutorial

Module 3

• Work with MLflow in Azure Databricks
• MLflow guide for Azure Databricks

Module 4

• Train and track ML models with MLflow and Azure Machine Learning documentation
• MLflow Tracking API documentation
• Deploy real-time machine learning services with Azure Machine Learning
• Deploy batch inference pipelines with Azure Machine Learning
• Azure Machine Learning model deployment

Further Resources and Learning

• Apache Spark in Azure Synapse Analytics
• Data warehousing

Content Created and maintained by Georgia Kalyva, Microsoft Technical Trainer @ Microsoft * LinkedIn * Twitter * Blog * Facebook * Youtube