Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.
This course is designed for IT professionals, AI engineers and data scientists.
Module 1: Explore Azure Databricks
Azure Databricks is a cloud service that provides a scalable platform for data analytics using Apache Spark.
Learning objectives:
In this module, you’ll learn how to
Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.
Learning objectives:
In this module, you’ll learn how to
Prerequisites:
Before starting this module, you should have a basic knowledge of Azure Databricks. Consider completing the Explore Azure Databricks module before this one.
Module 3: Train a machine learning model in Azure Databricks
Machine learning involves using data to train a predictive model. Azure Databricks support multiple commonly used machine learning frameworks that you can use to train models.
Learning objectives:
In this module, you’ll learn how to
Prerequisites:
Before starting this module, you should be familiar with Azure Databricks. Consider completing the following modules first:
MLflow is an open source platform for managing the machine learning lifecycle that is natively supported in Azure Databricks.
Learning objectives:
In this module, you’ll learn how to
Prerequisites:
Before starting this module, you should be familiar with Azure Databricks and the machine learning model training process.
Module 5: Tune hyperparameters in Azure Databricks
Tuning hyperparameters is an essential part of machine learning. In Azure Databricks, you can use the Hyperopt library to optimize hyperparameters automatically.
Learning objectives:
In this module, you’ll learn how to
Prerequisites:
Before starting this module, you should be familiar with how to train machine learning models in Azure Databricks.
Module 6: Use AutoML in Azure Databricks
AutoML in Azure Databricks simplifies the process of building an effective machine learning model for your data.
Learning objectives:
In this module, you’ll learn how to
Prerequisites:
Before starting this module, you should be familiar with machine learning in Azure Databricks.
Module 7: Train deep learning models in Azure Databricks
Deep learning uses neural networks to train highly effective machine learning models for complex forecasting, computer vision, natural language processing, and other AI workloads.
Learning objectives:
In this module, you’ll learn how to
Prerequisites:
Before starting this module, you should be familiar with machine learning on Azure Databricks.
Familiarity with machine learning concepts and Azure Databricks basics.
Please review the prerequisites listed for each module in the course content for more information.
