Build machine learning solutions using Azure Databricks (DP-3014)

Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data appl...

Explore Azure Databricks


- Introduction
- Get started with Azure Databricks
- Identify Azure Databricks workloads
- Understand key concepts
- Data governance using Unity Catalog and Microsoft Purview
- Exercise - Explore Azure Databricks
- Module assessment
- Summary

Use Apache Spark in Azure Databricks


- Introduction
- Get to know Spark
- Create a Spark cluster
- Use Spark in notebooks
- Use Spark to work with data files
- Visualize data
- Exercise - Use Spark in Azure Databricks
- Module assessment
- Summary

Train a machine learning model in Azure Databricks


- Introduction
- Understand principles of machine learning
- Machine learning in Azure Databricks
- Prepare data for machine learning
- Train a machine learning model
- Evaluate a machine learning model
- Exercise - Train a machine learning model in Azure Databricks
- Module assessment
- Summary

Use MLflow in Azure Databricks


- Introduction
- Capabilities of MLflow
- Run experiments with MLflow
- Register and serve models with MLflow
- Exercise - Use MLflow in Azure Databricks
- Module assessment
- Summary

Tune hyperparameters in Azure Databricks


- Introduction
- Optimize hyperparameters with Optuna
- Review...

This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.