We may earn an affiliate commission when you visit our partners.
Aniththa Umamahesan,
Abe Omorogbe,
Zoiner Tejada,
and
Ciprian Jichici
Sign up for Udacity’s free online Microsoft Azure Machine Learning course. In just 2 months, you will learn Microsoft Azure and gain practical, in-demand tech skills.
Register for this course and see more details by visiting:
OpenCourser.com/course/28tld6/introduction
Two deals to help you save
We found two deals and offers that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Use code at checkout.
Valid for a limited time only
Bootcamp level quality
Complete hands-on projects and get personalized feedback with Udacity.
Take
40%
off
UDACITY40
Valid for a limited time only
Future-proof your career
Access O'Reilly books, live events, courses, and more. Save with an annual subscription.
Take
15%
off
What's inside
Syllabus
In this lesson, we'll give you a high-level introduction to the field of machine learning. In the process, you will also train your first machine learning model using Azure Machine Learning Studio.
Read more
Syllabus
In this lesson, we'll give you a high-level introduction to the field of machine learning. In the process, you will also train your first machine learning model using Azure Machine Learning Studio.
Read more
This lesson is about how to prepare data and then transform it into trained machine learning models. This lesson will also introduce you to ensemble learning and automated machine learning.
This lesson covers two of Machine Learning's fundamental approaches: supervised and unsupervised learning. We'll learn about classification, regression, clustering, representation learning, and more.
In this lesson we'll look at some of the most important applications of ML, including deep learning, similarity learning, text classification, feature learning, and anomaly detection.
In this lesson you'll learn how to enhance your ML processes with managed services. We'll discuss computing resources, the modeling process, automation via pipelines, and more.
This lesson will tackle some of the potential implications and challenges posed by ML and AI—as well as principles for building responsible AI that avoids harming others.
Congratulations on completing the course! In this short lesson, we'll recap what you've learned and talk briefly about the future of Machine Learning.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Focuses on preparing, training, and automating machine learning models
Surveys core supervised and unsupervised machine learning concepts
Taught by experienced instructors from Udacity and the tech industry
Provides hands-on exercises and practical examples
Covers the latest technologies and trends in machine learning
May require prior experience with data analysis and programming
Save this course
Save Introduction to Machine Learning with Azure 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 Introduction to Machine Learning with Azure with these
activities:
Seek guidance from experts in the field
Show steps
Connect with professionals or researchers in the field of machine learning to gain valuable insights and advice.
Show steps
-
Identify potential mentors
-
Reach out and request guidance
Review Microsoft Azure
Show steps
Familiarize yourself with Microsoft Azure, the platform used in this course, to improve understanding of course materials.
Browse courses on
Microsoft Azure
Show steps
-
Review Azure documentation
-
Complete Azure tutorials
Compile a list of machine learning resources
Show steps
Enhance your learning by gathering and organizing resources related to machine learning, including articles, videos, and online courses.
Browse courses on
Machine Learning
Show steps
-
Search for machine learning resources
-
Filter and select relevant resources
-
Organize and store the resources
Five other activities
Expand to see all activities and additional details
Show all eight activities
Engage with peers in a discussion forum
Show steps
Collaborate with other learners and instructors by actively participating in the discussion forums to clarify concepts and exchange ideas.
Show steps
-
Join the discussion forums
-
Post questions and comments
-
Respond to others' posts
Follow Microsoft Azure Machine Learning tutorials
Show steps
Supplement your learning by following tutorials that provide step-by-step guidance on Azure Machine Learning concepts.
Browse courses on
Machine Learning
Show steps
-
Search for Azure Machine Learning tutorials
-
Follow tutorials and complete exercises
Solve machine learning coding challenges
Show steps
Deepen your understanding of machine learning algorithms and techniques by solving coding challenges.
Browse courses on
Machine Learning
Show steps
-
Find machine learning coding challenges
-
Attempt to solve the challenges
Build a machine learning model using Azure Machine Learning Studio
Show steps
Reinforce your understanding of machine learning principles by building and deploying a model using Azure Machine Learning Studio.
Browse courses on
Machine Learning Model
Show steps
-
Design the machine learning model
-
Train the model using Azure Machine Learning Studio
-
Evaluate and deploy the model
Write a blog post or article about machine learning
Show steps
Solidify your understanding by articulating machine learning concepts and sharing them with others through writing.
Browse courses on
Machine Learning
Show steps
-
Choose a topic to write about
-
Research and gather information
-
Write and edit your content
-
Publish and share your content
Seek guidance from experts in the field
Show steps
Connect with professionals or researchers in the field of machine learning to gain valuable insights and advice.
Show steps
Show steps
Show steps
- Identify potential mentors
- Reach out and request guidance
Review Microsoft Azure
Show steps
Familiarize yourself with Microsoft Azure, the platform used in this course, to improve understanding of course materials.
Browse courses on
Microsoft Azure
Show steps
Show steps
Show steps
- Review Azure documentation
- Complete Azure tutorials
Compile a list of machine learning resources
Show steps
Enhance your learning by gathering and organizing resources related to machine learning, including articles, videos, and online courses.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Search for machine learning resources
- Filter and select relevant resources
- Organize and store the resources
Five other activities
Expand to see all activities and additional details
Show all eight activities
Engage with peers in a discussion forum
Show steps
Collaborate with other learners and instructors by actively participating in the discussion forums to clarify concepts and exchange ideas.
Show steps
Show steps
Show steps
- Join the discussion forums
- Post questions and comments
- Respond to others' posts
Follow Microsoft Azure Machine Learning tutorials
Show steps
Supplement your learning by following tutorials that provide step-by-step guidance on Azure Machine Learning concepts.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Search for Azure Machine Learning tutorials
- Follow tutorials and complete exercises
Solve machine learning coding challenges
Show steps
Deepen your understanding of machine learning algorithms and techniques by solving coding challenges.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Find machine learning coding challenges
- Attempt to solve the challenges
Build a machine learning model using Azure Machine Learning Studio
Show steps
Reinforce your understanding of machine learning principles by building and deploying a model using Azure Machine Learning Studio.
Browse courses on
Machine Learning Model
Show steps
Show steps
Show steps
- Design the machine learning model
- Train the model using Azure Machine Learning Studio
- Evaluate and deploy the model
Write a blog post or article about machine learning
Show steps
Solidify your understanding by articulating machine learning concepts and sharing them with others through writing.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Choose a topic to write about
- Research and gather information
- Write and edit your content
- Publish and share your content
Career center
Learners who complete Introduction to Machine Learning with Azure will develop knowledge and skills
that may be useful to these careers:
Software Architect
Software Architect
Software Architects design and build the blueprints for software systems, ensuring they meet the needs of the business. This course provides a solid foundation in Machine Learning with Azure, which is essential for Software Architects who want to design and build AI-powered systems. The course covers topics such as data preparation, model training, and deployment, which are all critical skills for Software Architects in this field. With the knowledge and skills gained from this course, you can enhance your ability to design and build cutting-edge software systems that leverage the power of Machine Learning.
Data Scientist
Data Scientist
Data Scientists use Machine Learning to extract insights from data and solve business problems. This course provides a comprehensive introduction to Machine Learning with Azure, giving you the skills and knowledge you need to succeed as a Data Scientist. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the hands-on experience you gain in this course, you can build a strong foundation for a successful career as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and deploy Machine Learning models to solve real-world problems. This course provides a practical introduction to Machine Learning with Azure, giving you the skills you need to become a successful Machine Learning Engineer. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the hands-on experience you gain in this course, you can build a strong foundation for a successful career as a Machine Learning Engineer.
AI Engineer
AI Engineer
AI Engineers design, develop, and deploy AI systems. This course provides a solid foundation in Machine Learning with Azure, which is a key technology for AI Engineers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a strong foundation for a successful career as an AI Engineer.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and manage cloud-based systems. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Cloud Engineers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Cloud Engineer.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. This course provides a good introduction to Machine Learning with Azure, which is becoming increasingly important for Data Analysts. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Data Analyst.
Business Analyst
Business Analyst
Business Analysts use data to improve business processes. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Business Analysts. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Business Analyst.
Software Developer
Software Developer
Software Developers design, build, and maintain software applications. This course provides a good introduction to Machine Learning with Azure, which is becoming increasingly important for Software Developers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Software Developer.
Project Manager
Project Manager
Project Managers plan, execute, and deliver projects. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Project Managers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Project Manager.
Product Manager
Product Manager
Product Managers develop and manage products. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Product Managers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Product Manager.
Consultant
Consultant
Consultants provide advice and guidance to businesses. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Consultants. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Consultant.
Technical Writer
Technical Writer
Technical Writers create documentation for software and other technical products. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Technical Writers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Technical Writer.
Sales Engineer
Sales Engineer
Sales Engineers sell software and other technical products. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Sales Engineers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Sales Engineer.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers get the most value from their software and other technical products. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Customer Success Managers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as a Customer Success Manager.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a business. This course provides a good overview of Machine Learning with Azure, which is becoming increasingly important for Operations Managers. You will learn about data preparation, model training, and deployment, as well as supervised and unsupervised learning techniques. With the knowledge and skills gained from this course, you can build a foundation for a successful career as an Operations Manager.
For more career information including salaries, visit:
OpenCourser.com/course/28tld6/introduction
Reading list
We've selected six 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
Introduction to Machine Learning with Azure.
Provides a comprehensive overview of deep learning concepts and techniques, using Python. It valuable resource for those who want to learn about deep learning.
Provides a comprehensive overview of data science concepts and techniques, from data collection to model deployment. It valuable resource for those who want to learn about the entire data science pipeline.
Provides a practical introduction to machine learning concepts and techniques, using Python. It valuable resource for those who want to learn how to apply machine learning to real-world problems.
Provides a comprehensive overview of machine learning concepts and techniques, using R. It valuable resource for those who want to learn about machine learning and who are familiar with R.
Provides a comprehensive overview of machine learning concepts and techniques, using Java. It valuable resource for those who want to learn about machine learning and who are familiar with Java.
Provides a gentle introduction to machine learning concepts and techniques, using Python. It good starting point for those who are new to the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/28tld6/introduction
Share
Similar courses
Here are nine courses similar to
Introduction to Machine Learning with Azure.
Deploying and Managing Models in Microsoft Azure
OpenCourser.com/course/azljev/deploying
Deploying and Managing Models in Microsoft Azure
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...
Most relevant
Developing Models in Microsoft Azure
OpenCourser.com/course/yg3poe/developing
Developing Models in Microsoft Azure
Most relevant
Creating & Deploying Microsoft Azure Machine Learning Studio Solutions
OpenCourser.com/course/bsvnj8/creating
Creating & Deploying Microsoft Azure Machine Learning...
Most relevant
DP-100: Designing and Implementing a Data Science Solution on Azure
OpenCourser.com/course/u67ssc/dp
DP-100: Designing and Implementing a Data Science...
Most relevant
MLOps Platforms: Amazon SageMaker and Azure ML
OpenCourser.com/course/jq0kjn/mlops
MLOps Platforms: Amazon SageMaker and Azure ML
Most relevant
Choosing the Appropriate Microsoft Azure Services and Features
OpenCourser.com/course/tdzvr6/choosing
Choosing the Appropriate Microsoft Azure Services and...
Most relevant
Microsoft Azure Machine Learning for Data Scientists
OpenCourser.com/course/rfp7xr/microsoft
Microsoft Azure Machine Learning for Data Scientists
Most relevant
Feature Selection and Extraction in Microsoft Azure
OpenCourser.com/course/yv72fn/feature
Feature Selection and Extraction in Microsoft Azure
Most relevant
Effort
22 hours
Via
Udacity
Instructors
Aniththa Umamahesan
Abe Omorogbe
Zoiner Tejada
Ciprian Jichici
Language
English
Good to know
Focuses on preparing, training, and automating machine learning models
Surveys core supervised and unsupervised machine learning concepts
Taught by experienced instructors from Udacity and the tech industry
Provides hands-on exercises and practical examples
Covers the latest technologies and trends in machine learning
May require prior experience with data analysis and programming
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