Can a government agency buy DP-3014 Build machine learning solutions using Azure Databricks?

Yes. Purchase orders and government purchase cards are both accepted at checkout, and quotes can be formatted for a solicitation response. Terms are net 30 on invoiced orders.

What happens if I need to cancel DP-3014 Build machine learning solutions using Azure Databricks?

Course fees are fully refundable with written notice at least ten business days before the class. Inside that window the fee is forfeited, though one free retake is available within six months of the class date.

DP-3014 Build machine learning solutions using Azure Databricks

Q: How much does DP-3014 Build machine learning solutions using Azure Databricks cost?

$695 per seat. That covers courseware and lab access. Exam vouchers are quoted separately. Volume pricing is available for teams, and a private cohort is usually cheaper per seat past about four people.

Q: How long is DP-3014 Build machine learning solutions using Azure Databricks?

1 day of instructor-led training, delivered live online. Classes run during business hours in the timezone shown on each date.

Q: When is the next DP-3014 Build machine learning solutions using Azure Databricks class?

The next scheduled date is Tue, Nov 24. There is 1 upcoming date in total, 1 of which is guaranteed to run regardless of enrollment.

Q: Is DP-3014 Build machine learning solutions using Azure Databricks delivered online?

Yes. It runs live online with an instructor, not as a recording, so you can ask questions as you go. It can also be delivered privately at your site.

Upcoming dates

All times shown in the class's own timezone. 1 of 1 are guaranteed to run, meaning they go ahead regardless of enrollment.

Dates	Starts	Where	Status	Seat	Book
Tue, Nov 24	9:00 AM to 5:00 PM EST	Live virtual	GUARANTEED	$695

About this class

We have 1 scheduled date of DP-3014 Build machine learning solutions using Azure Databricks, starting Tue, Nov 24. It is guaranteed to run regardless of enrollment. Seats are $695 each over 1 day, courseware included. Book online with a card, or send a purchase order and we will invoice on net 30 terms.

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.

Course outline

Module 1 Explore Azure Databricks

Get started with Azure Databricks
Identify Azure Databricks workloads
Understand key concepts

Module 2 Use Apache Spark in Azure Databricks

Get to know Spark
Create a Spark cluster
Use Spark in notebooks
Use Spark to work with data files
Visualize data

Module 3 Train a machine learning model in Azure Databricks

Understand principles of machine learning
Machine learning in Azure Databricks
Prepare data for machine learning
Train a machine learning model
Evaluate a machine learning model

Module 4 Use MLflow in Azure Databricks

Capabilities of MLflow
Run experiments with MLflow
Register and serve models with MLflow

Module 5 Tune hyperparameters in Azure Databricks

Optimize hyperparameters with Hyperopt
Review Hyperopt trials
Scale Hyperopt trials

Module 6 Use AutoML in Azure Databricks

What is AutoML?
Use AutoML in the Azure Databricks user interface
Use code to run an AutoML experiment

Module 7 Train deep learning models in Azure Databricks

Understand deep learning concepts
Train models with PyTorch
Distribute PyTorch training with Horovod

Before you attend

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.

Who this is for

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