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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
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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
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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
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Reviews summary
Practical introduction to machine learning with azure
According to students, this course offers a solid foundation in machine learning concepts, especially for those new to the field. Learners consistently highlight the hands-on labs and practical application of ML within Azure ML Studio as a key strength, making it highly relevant for professional development. While it provides a comprehensive overview, some indicate that certain advanced topics are briefly touched upon, suggesting it's an excellent starting point that may require further study for deeper expertise. The course also notably includes valuable discussions on Responsible AI, a modern and important aspect of the field. Recent feedback indicates that updates have been made to keep content relevant to newer Azure services.
Includes important insights into ethical ML practices.
"Responsible AI section was a nice bonus and highly relevant for current industry standards."
"I appreciate the course's attention to ethical considerations in ML, which is often overlooked."
"It's valuable to learn about building responsible AI alongside technical skills; it adds a crucial dimension."
Content has been updated, improving relevance over time.
"Came back to this course recently and it seems some updates have been made, especially regarding the newer Azure services."
"It's good that the content is being actively maintained to reflect changes in Azure and the evolving ML landscape."
"The section on pipelines was very relevant, showing recent improvements and addressing previous feedback."
Excellent for practical application with Azure ML Studio.
"The hands-on labs were incredibly helpful for understanding how to apply concepts directly in Azure."
"This course is fantastic for understanding the workflow of ML on Azure, providing real-world practical skills."
"I found the practical demonstrations of Azure ML Studio invaluable for learning the platform."
Provides a strong, accessible start to ML concepts.
"As someone new to ML, this course provided a solid foundation."
"I appreciated the clear explanations of supervised and unsupervised learning, making complex topics digestible."
"The way they introduce data preparation and model training with Azure was very intuitive and easy to follow."
Covers breadth but can lack depth on advanced topics.
"I felt some topics, like deep learning, were only briefly touched upon, leaving me wanting more detail."
"The course covers a lot of ground, but it often felt like it rushed through complex topics, making it hard to fully grasp."
"Good for absolute beginners, maybe not so much for those with some background who desire advanced insights."
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
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