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

Overview
Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you'll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Audience Profile
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

Job role: Data Scientist

Skills gained
Provision an Azure Databricks workspace and cluster
Use Azure Databricks to train a machine learning model
Use MLflow to track experiments and manage machine learning models
Integrate Azure Databricks with Azure Machine Learning

Prerequisites
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

Course outline

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
Lab : Getting Started with Azure Databricks
Lab : 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
Lab : Training a Machine Learning Model
Lab : Preparing Data for Machine Learning

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
Lab : Using MLflow to Track Experiments
Lab : 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
Lab : Deploying Models in Azure Machine Learning
Lab : Running Experiments in Azure Machine Learning
View outline in Word

ADP090

Attend hands-on, instructor-led DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

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