We may earn an affiliate commission when you visit our partners.
Erick Galinkin,
Noah Gift,
Soham Chatterjee,
and
Alfredo Deza
Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure.
Register for this course and see more details by visiting:
OpenCourser.com/course/h4pv1p/using
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
UDACITY40
What's inside
Syllabus
In this lesson, we'll look at an overview of the course, look ahead to your final project, and discuss some of the reasons why—and when—you would want to do Machine Learning in the cloud.
Read more
Syllabus
In this lesson, we'll look at an overview of the course, look ahead to your final project, and discuss some of the reasons why—and when—you would want to do Machine Learning in the cloud.
Read more
In this lesson, we'll learn how workspaces and AzureML studio enable you to be more productive as a data scientist or ML engineer.
Datastores and Datasets are a critical component of cloud computing. We'll learn how to integrate third party datasets and open datasets into our ML pipeline to quickly develop working solutions.
We'll learn how to manage pipelines and use hyperparameters in experiments, as well as how to automate changes that create huge value in terms of prediction accuracy.
In this lesson, we'll cover how the Azure ML SDK allows us to programmatically create and manage pipelines. We'll see that this approach makes pipeline creation and management a reproducible process.
We'll discuss how we can use the Azure ML SDK to do automated ML and create models more quickly and accurately. We'll also have a look at how we can make we can make our models easier to interpret.
In the project at the end of this course, you'll have the opportunity to create and optimize an ML pipeline. You'll do this using both HyperDrive and AutoML, so that you can compare the results.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines pipelines and features that give learners the skills needed for industry
Develops cloud computing skills, which are highly relevant to industry
Utilizes the Azure ML SDK, which is industry-standard
Taught by experienced professionals who are recognized for their work in ML
This course provides a solid foundation in ML for engineers and data scientists
Students with intermediate knowledge of ML may find this course too introductory
Save this course
Save Using Azure Machine Learning to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Using Azure Machine Learning with these
activities:
Create a cheat sheet of the key concepts and formulas
Show steps
Creating a cheat sheet of the key concepts and formulas can help you quickly review the material before an exam or when working on a project.
Browse courses on
Formulas
Show steps
-
Identify the key concepts and formulas
-
Create a cheat sheet that summarizes the key concepts and formulas
-
Review the cheat sheet regularly
Follow a tutorial on Automated Machine Learning
Show steps
Following a tutorial on Automated Machine Learning can help you quickly get started with using this powerful tool.
Browse courses on
Automated Machine Learning
Show steps
-
Find a tutorial that is relevant to your needs
-
Follow the tutorial step-by-step
-
Experiment with the code and try different options
Join a study group and discuss the course material
Show steps
Joining a study group and discussing the course material can help you reinforce your understanding and learn from others.
Browse courses on
Collaboration
Show steps
-
Find a study group or create your own
-
Meet regularly to discuss the course material
-
Work together on problems and projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Experiment with HyperDrive on your own
Show steps
Experimenting with HyperDrive on your own can help you gain a deeper understanding on how it works and its potential.
Browse courses on
Experiments
Show steps
-
Choose a dataset and create an experiment
-
Select different hyperparameters and algorithms
-
Run the experiment and analyze the results
-
Repeat the process with different datasets and scenarios
Build a machine learning pipeline using the Azure ML SDK
Show steps
Building a machine learning pipeline using the Azure ML SDK will provide you with hands-on experience and a deeper understanding of the process.
Browse courses on
Machine Learning Pipelines
Show steps
-
Define the problem and gather the necessary data
-
Create a workspace and compute instance in Azure
-
Use the Azure ML SDK to create a pipeline
-
Train and evaluate the pipeline
-
Deploy the pipeline to production
Volunteer at a local organization that uses machine learning
Show steps
Volunteering at a local organization that uses machine learning can provide you with practical experience and a deeper understanding of the real-world applications of machine learning.
Browse courses on
Machine Learning
Show steps
-
Find a local organization that uses machine learning
-
Contact the organization and inquire about volunteer opportunities
-
Volunteer your time and learn about machine learning
Present your machine learning project to a group
Show steps
Presenting your machine learning project to a group can help you improve your communication and presentation skills.
Browse courses on
Machine Learning Projects
Show steps
-
Prepare your presentation slides
-
Practice your presentation
-
Present your project to a group
-
Get feedback and improve your presentation
Create a cheat sheet of the key concepts and formulas
Show steps
Creating a cheat sheet of the key concepts and formulas can help you quickly review the material before an exam or when working on a project.
Browse courses on
Formulas
Show steps
Show steps
Show steps
- Identify the key concepts and formulas
- Create a cheat sheet that summarizes the key concepts and formulas
- Review the cheat sheet regularly
Follow a tutorial on Automated Machine Learning
Show steps
Following a tutorial on Automated Machine Learning can help you quickly get started with using this powerful tool.
Browse courses on
Automated Machine Learning
Show steps
Show steps
Show steps
- Find a tutorial that is relevant to your needs
- Follow the tutorial step-by-step
- Experiment with the code and try different options
Join a study group and discuss the course material
Show steps
Joining a study group and discussing the course material can help you reinforce your understanding and learn from others.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find a study group or create your own
- Meet regularly to discuss the course material
- Work together on problems and projects
Four other activities
Expand to see all activities and additional details
Show all seven activities
Experiment with HyperDrive on your own
Show steps
Experimenting with HyperDrive on your own can help you gain a deeper understanding on how it works and its potential.
Browse courses on
Experiments
Show steps
Show steps
Show steps
- Choose a dataset and create an experiment
- Select different hyperparameters and algorithms
- Run the experiment and analyze the results
- Repeat the process with different datasets and scenarios
Build a machine learning pipeline using the Azure ML SDK
Show steps
Building a machine learning pipeline using the Azure ML SDK will provide you with hands-on experience and a deeper understanding of the process.
Browse courses on
Machine Learning Pipelines
Show steps
Show steps
Show steps
- Define the problem and gather the necessary data
- Create a workspace and compute instance in Azure
- Use the Azure ML SDK to create a pipeline
- Train and evaluate the pipeline
- Deploy the pipeline to production
Volunteer at a local organization that uses machine learning
Show steps
Volunteering at a local organization that uses machine learning can provide you with practical experience and a deeper understanding of the real-world applications of machine learning.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find a local organization that uses machine learning
- Contact the organization and inquire about volunteer opportunities
- Volunteer your time and learn about machine learning
Present your machine learning project to a group
Show steps
Presenting your machine learning project to a group can help you improve your communication and presentation skills.
Browse courses on
Machine Learning Projects
Show steps
Show steps
Show steps
- Prepare your presentation slides
- Practice your presentation
- Present your project to a group
- Get feedback and improve your presentation
Career center
Learners who complete Using Azure Machine Learning will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their knowledge of data, statistics, and machine learning algorithms to build and deploy models that can predict outcomes or identify patterns. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Data Scientist, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models that can solve real-world problems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Machine Learning Engineer, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Data Analyst
Data Analyst
Data Analysts use their skills in data analysis, statistics, and machine learning to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Data Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Business Analyst
Business Analyst
Business Analysts use their skills in data analysis, statistics, and machine learning to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Business Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software systems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Software Engineer, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Data Engineer, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Statistician
Statistician
Statisticians use their skills in statistics and machine learning to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Statistician, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their skills in mathematics, statistics, and computer science to solve business problems. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Operations Research Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Financial Analyst
Financial Analyst
Financial Analysts use their skills in finance and statistics to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Financial Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Market Researcher
Market Researcher
Market Researchers use their skills in statistics and marketing to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Market Researcher, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Actuary
Actuary
Actuaries use their skills in mathematics, statistics, and economics to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Actuary, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Risk Analyst
Risk Analyst
Risk Analysts use their skills in mathematics, statistics, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Risk Analyst, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Underwriter
Underwriter
Underwriters use their skills in mathematics, statistics, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Underwriter, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Claims Adjuster
Claims Adjuster
Claims Adjusters use their skills in mathematics, statistics, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as a Claims Adjuster, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
Insurance Agent
Insurance Agent
Insurance Agents use their skills in sales, marketing, and finance to help businesses make better decisions. In this course, you will learn how to use Azure Machine Learning, a cloud-based platform that makes it easy to build and deploy machine learning models. This course will teach you the skills you need to be successful as an Insurance Agent, including how to collect, clean, and prepare data, build and train machine learning models, and evaluate the performance of your models.
For more career information including salaries, visit:
OpenCourser.com/course/h4pv1p/using
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Using Azure Machine Learning.
Provides a comprehensive guide to data science and machine learning with Python, covering the basics of data science and machine learning, how to use Python and popular machine learning libraries, and how to deploy and manage machine learning models.
Provides a comprehensive guide to machine learning with Python, covering the basics of machine learning, how to use Python and popular machine learning libraries, and how to deploy and manage machine learning models.
Provides a comprehensive guide to machine learning with R, covering the basics of machine learning, how to use R and popular machine learning libraries, and how to deploy and manage machine learning models.
Provides a comprehensive guide to machine learning, with a focus on practical applications.
Provides a comprehensive guide to deep learning with Python, covering the basics of deep learning, how to use Python and popular deep learning libraries, and how to deploy and manage deep learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/h4pv1p/using
Share
Similar courses
Here are nine courses similar to
Using Azure Machine Learning.
Create and Publish Pipelines for Batch Inferencing with Azure
OpenCourser.com/course/wiadrv/create
Create and Publish Pipelines for Batch Inferencing with...
Most relevant
Microsoft Azure AI Engineer: Developing ML Pipelines in Microsoft Azure
OpenCourser.com/course/huywy4/microsoft
Microsoft Azure AI Engineer: Developing ML Pipelines in...
MLOps Platforms: Amazon SageMaker and Azure ML
OpenCourser.com/course/6rlzq6/mlops
MLOps Platforms: Amazon SageMaker and Azure ML
Choosing the Appropriate Microsoft Azure Services and Features
OpenCourser.com/course/tdzvr6/choosing
Choosing the Appropriate Microsoft Azure Services and...
MLOps1 (Azure): Deploying AI & ML Models in Production using Microsoft Azure Machine Learning
OpenCourser.com/course/tra08d/mlops1
MLOps1 (Azure): Deploying AI & ML Models in Production...
Build and Operate Machine Learning Solutions with Azure
OpenCourser.com/course/mztrml/build
Build and Operate Machine Learning Solutions with Azure
Smart Analytics, Machine Learning, and AI on Google Cloud
OpenCourser.com/course/tkhtpu/smart
Smart Analytics, Machine Learning, and AI on Google Cloud
DP-203: Processing in Azure Using Batch Solutions
OpenCourser.com/course/rm8nnq/dp
DP-203: Processing in Azure Using Batch Solutions
Microsoft Azure Machine Learning for Data Scientists
OpenCourser.com/course/rfp7xr/microsoft
Microsoft Azure Machine Learning for Data Scientists
Time
40320 hours
Level
Intermediate
Via
Udacity
Instructors
Erick Galinkin
Noah Gift
Soham Chatterjee
Alfredo Deza
Language
English
Good to know
Examines pipelines and features that give learners the skills needed for industry
Develops cloud computing skills, which are highly relevant to industry
Utilizes the Azure ML SDK, which is industry-standard
Taught by experienced professionals who are recognized for their work in ML
This course provides a solid foundation in ML for engineers and data scientists
Students with intermediate knowledge of ML may find this course too introductory
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser