DP-090T00 : Implementing a Machine Learning Solution with Microsoft Azure Databricks

This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks

Module 1: Introduction to Azure Databricks
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.

Lessons
·         Getting Started with Azure Databricks

·         Working with Data in Azure Databricks

Module 2: Training and Evaluating Machine Learning Models
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.

Lessons
·         Preparing Data for Machine Learning

·         Training a Machine Learning Model

Module 3: Managing Experiments and Models
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

Lessons
·         Using MLflow to Track Experiments

·         Managing Models

Module 4: Integrating Azure Databricks and Azure Machine Learning
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning

Lessons
·         Tracking Experiments with Azure Machine Learning

·         Deploying Models

No Certification

Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:1613

• Create machine learning models