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

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

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

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

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

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

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