Azure Databricks Exercises

These exercises are designed to support the following training content on Microsoft Learn:

• Implement a data lakehouse analytics solution with Azure Databricks
• Implement a machine learning solution with Azure Databricks
• Implement a data engineering solution with Azure Databricks
• Implement Generative AI engineering with Azure Databricks

You’ll need an Azure subscription in which you have administrative access to complete these exercises.

• Deprecated - Explore Azure Databricks

• Deprecated - Use Apache Spark in Azure Databricks

• Deprecated - Use Delta Lake in Azure Databricks

• Deprecated - Use a SQL Warehouse in Azure Databricks

• Deprecated - Automate an Azure Databricks Notebook with Azure Data Factory

• Deprecated - Get started with machine learning in Azure Databricks

• Deprecated - Use MLflow in Azure Databricks

• Deprecated - Optimize Hyperparameters for machine learning in Azure Databricks

• Deprecated - Train a model with AutoML

• Deprecated - Train a deep learning model

• Explore Large Language Models with Azure Databricks

• Retrieval Augmented Generation using Azure Databricks

• Multi-stage Reasoning with LangChain using Azure Databricks and Azure OpenAI

• Fine-Tuning Large Language Models using Azure Databricks and Azure OpenAI

• Evaluate Large Language Models using Azure Databricks and Azure OpenAI

• Responsible AI with Large Language Models using Azure Databricks and Azure OpenAI

• Implementing LLMOps with Azure Databricks

• Real-time Ingestion and Processing with Spark Structured Streaming and Delta Lake with Azure Databricks

• End-to-End Streaming Pipeline with Delta Live Tables in Azure Databricks

• Optimize Data Pipelines for Better Performance in Azure Databricks

• Implement CI/CD workflows with Azure Databricks

• Automate data ingestion and processing using Azure Databricks

• Implementing Data Privacy and Governance using Unity Catalog with Azure Databricks

• Use a SQL Warehouse in Azure Databricks

• Automate an Azure Databricks Notebook with Azure Data Factory

• Get started with machine learning in Azure Databricks

• Use MLflow in Azure Databricks

• Train a model with AutoML

• Optimize Hyperparameters for machine learning in Azure Databricks

• Manage a machine learning model using Azure Databricks

• Train a deep learning model

• Explore Azure Databricks

• Explore data with Azure Databricks

• Transform data with Apache Spark in Azure Databricks

• Use Delta Lake in Azure Databricks

• Create a data pipeline with Delta Live tables

• Deploy workloads with Azure Databricks Workflows