Introduction to Machine Learning with Azure from Udacity

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.

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

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

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

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Connect with professionals or researchers in the field of machine learning to gain valuable insights and advice.

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Identify potential mentors
Reach out and request guidance

Review Microsoft Azure

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Familiarize yourself with Microsoft Azure, the platform used in this course, to improve understanding of course materials.

Browse courses on Microsoft Azure

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Review Azure documentation
Complete Azure tutorials

Compile a list of machine learning resources

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Enhance your learning by gathering and organizing resources related to machine learning, including articles, videos, and online courses.

Browse courses on Machine Learning

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Search for machine learning resources
Filter and select relevant resources
Organize and store the resources

Five other activities

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Engage with peers in a discussion forum

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Collaborate with other learners and instructors by actively participating in the discussion forums to clarify concepts and exchange ideas.

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Join the discussion forums
Post questions and comments
Respond to others' posts

Follow Microsoft Azure Machine Learning tutorials

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Supplement your learning by following tutorials that provide step-by-step guidance on Azure Machine Learning concepts.

Browse courses on Machine Learning

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Search for Azure Machine Learning tutorials
Follow tutorials and complete exercises

Solve machine learning coding challenges

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Deepen your understanding of machine learning algorithms and techniques by solving coding challenges.

Browse courses on Machine Learning

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Find machine learning coding challenges
Attempt to solve the challenges

Build a machine learning model using Azure Machine Learning Studio

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Reinforce your understanding of machine learning principles by building and deploying a model using Azure Machine Learning Studio.

Browse courses on Machine Learning Model

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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

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Solidify your understanding by articulating machine learning concepts and sharing them with others through writing.

Browse courses on Machine Learning

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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 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.

See salaries and explore the career path for Software Architect

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning 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.

See salaries and explore the career path for AI 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.

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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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Software Developer

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.

See salaries and explore the career path for Project 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.

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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.

See salaries and explore the career path for Consultant

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.

See salaries and explore the career path for Technical Writer

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.

See salaries and explore the career path for Sales Engineer

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.

See salaries and explore the career path for Customer Success 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.

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Introduction to Machine Learning with Azure

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