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Using Azure Machine Learning

Erick Galinkin, Noah Gift, Soham Chatterjee, and Alfredo Deza

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Bootcamp level quality

Complete hands-on projects and get personalized feedback with Udacity.

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.

Traffic lights

Read about what's good

what should give you pause

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

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Reviews summary

Practical azure ml with sdk focus

According to learners, this course offers a largely positive and highly practical introduction to Azure Machine Learning. Students particularly praise the hands-on labs and projects, which provide invaluable experience in using the Azure ML SDK for programmatic pipeline creation and ensuring reproducibility. Many find the content on AutoML and HyperDrive especially useful for professional development. However, some learners note that the course assumes a strong foundation in Python and machine learning concepts, making it potentially challenging for absolute beginners. A recurring concern is the need for more frequent updates to lab instructions and screenshots, as the rapidly evolving Azure platform can lead to outdated material and frustration.

Invaluable for ML engineers and MLOps professionals on Azure.

"As an ML engineer looking to migrate our workflows to Azure, this was exactly what I needed."

"It's a must-take for anyone serious about MLOps on Azure."

"This course is definitely for professionals looking to leverage Azure."

Offers valuable practical experience with Azure ML SDK.

"The hands-on labs were particularly useful and helped solidify my understanding of pipelines and AutoML."

"The practical examples using the Azure ML SDK were invaluable. I particularly liked the module on managing pipelines and using HyperDrive."

"The practical application of the SDK for programmatic pipeline creation was a highlight. The content on HyperDrive and AutoML was well-explained."

"The practical exercises were challenging but rewarding. Learning to use HyperDrive and AutoML hands-on was a game-changer for my projects."

Labs and instructions can be outdated due to Azure's evolution.

"I struggled a bit with the setup of the environment, and some of the instructions in the labs felt slightly out of sync with the current Azure portal UI."

"The course has potential but needs updates. Some of the screenshots and steps in the labs were outdated, leading to frustration and wasted time trying to troubleshoot."

"The constant changes in Azure UI can make following along difficult. It needs more real-world use cases beyond the basic examples."

"Just be prepared for potential UI changes in Azure, which aren't the course's fault but can be annoying."

Requires strong Python, ML, and basic Azure understanding.

"I found this course quite challenging, even with a background in Python. It seemed to jump directly into advanced concepts without enough foundational explanation."

"The course is advertised as 'Using Azure Machine Learning' but doesn't adequately cover prerequisites. I struggled immensely with basic Azure concepts and Python environment setup, which are essential."

"I wouldn't recommend it if you're entirely new to ML or Azure. The instructor assumes too much prior knowledge."

"Good course if you know what you're getting into... A strong base in ML is definitely a plus."

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

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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

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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

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Following a tutorial on Automated Machine Learning can help you quickly get started with using this powerful tool.

Browse courses on Automated Machine Learning

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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

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Joining a study group and discussing the course material can help you reinforce your understanding and learn from others.

Browse courses on Collaboration

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Find a study group or create your own
Meet regularly to discuss the course material
Work together on problems and projects

Four other activities

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Show all seven activities

Experiment with HyperDrive on your own

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Experimenting with HyperDrive on your own can help you gain a deeper understanding on how it works and its potential.

Browse courses on Experiments

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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

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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

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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

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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

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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

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Presenting your machine learning project to a group can help you improve your communication and presentation skills.

Browse courses on Machine Learning Projects

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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 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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data 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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Software 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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Operations Research 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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Market Researcher

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Risk Analyst

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.

See salaries and explore the career path for Underwriter

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.

See salaries and explore the career path for Claims Adjuster

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.

See salaries and explore the career path for Insurance Agent

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.

Python Machine Learning

Save

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.

Machine Learning with PyTorch and Scikit-Learn:...

Paperback

Python Machine Learning: Machine Learning and Deep...

Paperback

Python Machine Learning - Second Edition: Machine...

Paperback

(Español) Machine Learning con PyTorch y Scikit-Learn:...

Paperback

$$$

(Español) Python Machine Learning (Spanish Edition)

Kindle Edition

(Italiano) Machine Learning con Python - Nuova edizione:...

Kindle Edition

(Deutsch) Machine Learning mit Python und Keras, TensorFlow 2...

Kindle Edition

Hands-On Machine Learning with Scikit-Learn, Keras,...

Save

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.

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

$$$

Hands-On Machine Learning with Scikit-Learn, Keras,...

Kindle Edition

R: Data Analysis and Visualization

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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.

R: Data Analysis and Visualization

Kindle Edition

$$$

Machine Learning in Action

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Provides a comprehensive guide to machine learning, with a focus on practical applications.

Machine Learning in Action

Paperback

(中文) 机器学习实战 (图灵程序设计丛书 72) (Chinese Edition)

Kindle Edition

Deep Learning with Python, Second Edition

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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.

Deep Learning with Python, Second Edition

Paperback

Deep Learning with Python, Second Edition

Kindle Edition

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