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

1 Day
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Intermediate

Regular Price : ~~$450.00~~
Offer Price :$300.00

Course 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

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
After completing this module, you will be able to:

Provision an Azure Databricks workspace and cluster
Use Azure Databricks to work with data

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
After completing this module, you will be able to use Azure Databricks to:

Prepare data for modeling
Train and validate 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

Lab : Using MLflow to Track Experiments
Lab : Managing Models
After completing this module, you will be able to:

Use MLflow to track experiments
Manage 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
After completing this module, you will be able to:

Run Azure Machine Learning experiments on Azure Databricks compute
Deploy models trained on Azure Databricks to Azure Machine Learning

Course Objectives

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

Pre-requisites

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:

Create machine learning models

Upcoming Schedules

Start Date	End Date	Delivery Location	Details
8/16/2024	8/16/2024	Online (09 to 05 EST)	Register
9/20/2024	9/20/2024	Online (09 to 05 EST)	Register
10/25/2024	10/25/2024	Online (09 to 05 EST)	Register
11/29/2024	11/29/2024	Online (09 to 05 EST)	Register
1/3/2025	1/3/2025	Online (09 to 05 EST)	Register

For any custom schedule, please email us at info@gtechlearn.com or Call us at 1-844-355-9898(Toll Free - North America) or 1800 309 9898 (Toll Free - India)

This course includes:

Official MS Learn Courseware

Exam Preps

Achievement Badge from Microsoft

Course Completion Certificate

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Experienced & Certified Instructors

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Interactive Hands-On Labs

Personalized Learning Plans

Flexible Scheduling

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