Home
Courses
Train and deploy a machine learning model with Azure Machine Learning (DP-3007)

Train and deploy a machine learning model with Azure Machine Learning (DP-3007)

Course 8697

Duration: 1 day
Language: English
Level: Intermediate

Azure Machine Learning DP-3007 training course Delivery Methods

In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.

Azure Machine Learning DP-3007 training course Information

Upon successful completion of this course, students will master essential skills to:

Make data available in Azure Machine Learning.
Work with compute targets in Azure Machine Learning.
Run a training script as a command job in Azure Machine Learning.
Track model training with MLflow in jobs.
Register an MLflow model in Azure Machine Learning.
Deploy a model to a managed online endpoint.

Training Prerequisites

To maximise the benefits of this course, participants should have familiarity with the data science process. While the course doesn't delve deeply into data science concepts, a basic understanding is recommended. Additionally, familiarity with Python is essential, as the course focuses on utilising the Python SDK for interacting with Azure Machine Learning.

Azure Machine Learning DP-3007 training course Outline

Module 1: Make Data Available in Azure Machine Learning

Introduction
Understand URIs
Create a datastore
Create a data asset

Exercise: Make data available in Azure Machine Learning

Module 2: Work with Compute Targets in Azure Machine Learning

Introduction
Choose the appropriate compute target
Create and use a compute instance
Create and use a compute cluster

Exercise: Work with compute resources

Module 3: Work with Environments in Azure Machine Learning

Introduction
Understand environments
Explore and use curated environments
Create and use custom environments

Exercise: Work with environments

Module 4: Run a Training Script as a Command Job in Azure Machine Learning

Introduction
Convert a notebook to a script
Run a script as a command job
Use parameters in a command job

Exercise: Run a training script as a command job

Module 5: Track Model Training with MLflow in Jobs

Introduction
Track metrics with MLflow
View metrics and evaluate models

Exercise: Use MLflow to track training jobs

Module 6: Register an MLflow Model in Azure Machine Learning

Introduction
Log models with MLflow
Understand the MLflow model format
Register an MLflow model

Exercise: Log and register models with MLflow

Module 7: Deploy a Model to a Managed Online Endpoint

Introduction
Explore managed online endpoints
Deploy your MLflow model to a managed online endpoint
Deploy a model to a managed online endpoint
Test managed online endpoints

Exercise: Deploy an MLflow model to an online endpoint

Get This Course 9 170 kr

1-Day Instructor-Led Training
Hands-On Labs
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

Get the Advantage 35 495 kr

Take this course and gain unlimited access to more than 300 virtual instructor-led courses
Future-proof your career with more than 100 sought-after certifications in the market
Build real skills through hands-on learning in more than 180 virtual labs
Grow your skills and capabilities with more than one course at a time and save

Thank you for choosing subscriptions!

Include dates with afternoon start times

#8697

maj 23 15:00 - 22:30 CEST

AnyWare
maj 29 9:00 - 16:30 CEST

AnyWare
maj 29 10:00 - 17:30 CEST

AnyWare
jun 20 15:00 - 22:30 CEST

AnyWare
jul 17 15:00 - 22:30 CEST

AnyWare
aug 14 15:00 - 22:30 CEST

AnyWare
aug 28 9:00 - 16:30 CEST

AnyWare
aug 28 10:00 - 17:30 CEST

AnyWare
sep 11 15:00 - 22:30 CEST

AnyWare
okt 9 15:00 - 22:30 CEST

AnyWare
nov 6 15:00 - 22:30 CET

AnyWare
nov 26 9:00 - 16:30 CET

AnyWare
nov 26 10:00 - 17:30 CET

AnyWare
dec 4 15:00 - 22:30 CET

AnyWare
jan 8 15:00 - 22:30 CET

AnyWare
jan 29 15:00 - 22:30 CET

AnyWare
feb 26 9:00 - 16:30 CET

AnyWare
feb 26 10:00 - 17:30 CET

AnyWare
feb 26 15:00 - 22:30 CET

AnyWare
mar 26 14:00 - 21:30 CET

AnyWare
apr 24 15:00 - 22:30 CEST

AnyWare

Scroll to view additional course dates

Bring this or any training to your organisation
Full-scale programme development
Delivered when, where, and how you want it
Blended learning models
Tailored content
Expert team coaching

Get the Advantage 35 495 kr

Take this course and gain unlimited access to more than 300 virtual instructor-led courses
Future-proof your career with more than 100 sought-after certifications in the market
Build real skills through hands-on learning in more than 180 virtual labs
Grow your skills and capabilities with more than one course at a time and save

Thank you for choosing subscriptions!

#8697

Questions about this course?

Customise Your Team Training Experience

Fill out the form below or call +46 (0)8 506 668 00

* Required Fields

Preferred method of contact:

Phone

Need Help Finding The Right Training Solution?

Our training advisors are here for you.

Train and deploy a machine learning model with Azure Machine Learning (DP-3007)

Azure Machine Learning DP-3007 training course Delivery Methods

Azure Machine Learning DP-3007 training course Information

Azure Machine Learning DP-3007 training course Outline

Module 1: Make Data Available in Azure Machine Learning

Module 2: Work with Compute Targets in Azure Machine Learning

Module 3: Work with Environments in Azure Machine Learning

Module 4: Run a Training Script as a Command Job in Azure Machine Learning

Module 5: Track Model Training with MLflow in Jobs

Module 6: Register an MLflow Model in Azure Machine Learning

Module 7: Deploy a Model to a Managed Online Endpoint

Upgrade your course experience with: Subscriptions

Get the Advantage 35 495 kr

Thank you for choosing subscriptions!

Upgrade your course experience with: Subscriptions

Get the Advantage 35 495 kr

Thank you for choosing subscriptions!

Related Courses