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Introduction to Machine Learning with Azure
Aniththa Umamahesan,
Abe Omorogbe,
Zoiner Tejada,
and
Ciprian Jichici
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
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
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Activities
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Introduction to Machine Learning with Azure.
These are activities you can do either before, during, or after a course.
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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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
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