DP-3014: Implementing a Machine Learning Solution with Azure Databricks

Course Prerequisites

• Basic knowledge of machine learning concepts and workflows.
• Experience with Python programming, as Python is widely used for building machine learning models in Azure Databricks.
• Familiarity with data engineering concepts and tools like Apache Spark and SQL is helpful but not required.
• Understanding of Azure services and cloud computing basics is beneficial.
• Prior experience with Azure Machine Learning and Azure Synapse Analytics will enhance your learning experience but is not mandatory.

Learning Objectives

By the end of the DP-3014: Implementing a Machine Learning Solution with Azure Databricks course, you will be able to:

1. Understand the core features and components of Azure Databricks and how they integrate with Azure services for building machine learning solutions.
2. Design and implement machine learning workflows using Databricks Notebooks and Apache Spark to process large datasets and run ML algorithms.
3. Use MLflow for tracking, managing, and deploying machine learning models in Azure Databricks.
4. Preprocess and clean large datasets using Apache Spark for ML tasks, including feature engineering and data transformations.
5. Build, train, and optimize machine learning models using Azure Databricks' collaborative environment.
6. Implement hyperparameter tuning and model evaluation techniques to improve model performance.
7. Scale machine learning models and data pipelines efficiently on Azure Databricks to handle big data.
8. Deploy machine learning models into production and manage model lifecycle with MLflow.
9. Integrate Azure Databricks with other Azure services such as Azure Machine Learning, Azure Synapse Analytics, and Power BI for seamless data analysis and visualization.
10. Prepare for the DP-3014 certification exam by gaining hands-on experience in implementing machine learning solutions using Azure Databricks.

Target Audience

This course is ideal for:

• Data scientists and machine learning engineers who want to use Azure Databricks to build and deploy machine learning models.
• AI professionals interested in using Azure Databricks to integrate machine learning with big data analytics.
• Data engineers who want to build scalable data pipelines and leverage Apache Spark for machine learning tasks.
• Solutions architects who want to design end-to-end machine learning solutions in Azure Databricks.
• Professionals preparing for the DP-3014 certification exam and looking to demonstrate expertise in implementing ML solutions using Azure Databricks.