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Training
DP-3014: Build machine learning solutions using Azure Databricks
Course Information
Course Name
DP-3014: Build machine learning solutions using Azure Databricks
Duration
1 Day
Overview
Audience Profile
Prerequisities
At Course Completion
Course Outline
Overview
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 applications. Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning. In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models.
Overview
Overview
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 applications. Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning. In this course, you’ll learn how to use Azure Databricks to train and deploy machine learning models.
Audience Profile
Audience Profile
This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.
Prerequisities
Prerequisites
This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow.
At Course Completion
At Course Completion
In this module, you learned how to:
- Provision an Azure Databricks workspace.
- Identify core workloads and personas for Azure Databricks.
- Describe key concepts of an Azure Databricks solution.
Course Outline
Course Outline
Module 1: Explore Azure Databricks
Module 2: Use Apache Spark in Azure Databricks
Module 3: Train a machine learning model in Azure Databricks
Module 4: Use MLflow in Azure Databricks
Module 5: Tune hyperparameters in Azure Databricks
Module 6: Use AutoML in Azure Databricks
Module 7: Train deep learning models in Azure Databricks
Module 8: Manage machine learning in production with Azure Databricks
