This is an intermediate project on creating clustering models in Azure Machine Learning Studio. Familiarity with any Web Browser and navigating Windows Desktop is assumed. Some background knowledge on Machine Learning or Cloud computing is beneficial but not required to complete this project. Understanding how platform services in the cloud work and how machine learning algorithms function would be of great help in understanding better what we are executing in this guided project. Some minimal data engineering and data scientist knowledge is required.
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Recommended experience
What you'll learn
Create an Azure Machine Learning Workspace using the Azure Portal
Develop a Clustering Model in Azure ML Designer
Publish the model for application use
Skills you'll practice
Details to know
Add to your LinkedIn profile
Only available on desktop
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create a free trial account in Microsoft Azure and log into Azure using your new subscription.
Create a Resource Group in preparation for creating a new Azure Machine Learning Workspace.
Create an Azure Machine Learning Workspace to manage artifacts related to your machine learning workloads.
Create compute targets on which to run the training process.
Create a dataset and explore data.
Create a pipeline in Azure Machine Learning Designer.
Apply data transformations to cluster observations.
Add training modules and apply a clustering algorithm.
Run the training pipeline to train the model.
Evaluate the clustering model by using the Evaluate Model module.
Create an inference pipeline to assign new data observations.
Publish the predictive service for application use.
Recommended experience
Some background data engineering/science knowledge is required. Understanding how cloud platform services work would be beneficial, but not required.
12 project images
Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
Why people choose Coursera for their career
You might also like
New to Cloud Computing? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.