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David Tucker
This course will cover how to leverage Azure Machine Learning for a successful data science initiative across the key components of workflow, data pipeline, and infrastructure.
Read more
This course will cover how to leverage Azure Machine Learning for a successful data science initiative across the key components of workflow, data pipeline, and infrastructure.
Read more
This course will cover how to leverage Azure Machine Learning for a successful data science initiative across the key components of workflow, data pipeline, and infrastructure.
When working on data science initiatives it can be challenging to gain actionable insights from your data set. In this course, Designing Machine Learning Solutions on Microsoft Azure, you will learn how to leverage Azure's Machine Learning capabilities to greatly increase the chance of success for your data science project. First, you will engage in team workflow and how Microsoft's Team Data Science Process (TDSP) enables best practices across disciplines. Next, you will discover the workflow of the Azure Machine Learning Service and how it can be leveraged on your project. After this, you will review how to create a pipeline for your data preparation, model training, and model registration. Finally, you will explore the infrastructure approaches that can be leveraged for machine learning and how those approaches are supported on Azure. When you are finished with this course, you will possess the skills that will be needed to start a data science project on Azure and the tools that will increase your ability to gain those actionable insights.
Register for this course and see more details by visiting:
OpenCourser.com/course/k4wmhn/designing
What's inside
Syllabus
Course Overview
Understanding the Azure Machine Learning Workflow
Working with the Azure Machine Learning Workflow
Understanding Data Ingestion Strategies
Read more
Syllabus
Course Overview
Understanding the Azure Machine Learning Workflow
Working with the Azure Machine Learning Workflow
Understanding Data Ingestion Strategies
Read more
Understanding Azure Machine Learning Infrastructure
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches how to practically apply ML solutions, equipping learners for enterprise environments where TDSP is common
Guides learners through the Azure ML Service workflow, a popular industry tool
Covers data ingestion and infrastructure, core components of ML projects
Save this course
Save Designing Machine Learning Solutions on Microsoft Azure to your list so you can find it easily later:
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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 Designing Machine Learning Solutions on Microsoft Azure with these
activities:
Attend Azure Machine Learning User Group Meeting
Show steps
Network with other professionals and gain insights into real-world Azure Machine Learning applications.
Show steps
-
Search for local Azure Machine Learning user groups
-
Attend a user group meeting
-
Participate in discussions and ask questions
Build a machine learning project using the Azure Machine Learning platform
Show steps
Create a hands-on project to apply the concepts learned in this course and gain practical experience with Azure Machine Learning.
Browse courses on
Azure Machine Learning
Show steps
-
Define the problem statement and gather data
-
Prepare and preprocess the data
-
Train and evaluate the machine learning model
-
Deploy the model to a production environment
Start a personal machine learning project using Azure
Show steps
Solidify your skills by embarking on a personal project that allows you to apply and experiment with Azure Machine Learning.
Browse courses on
Data Science Projects
Show steps
-
Identify a problem or opportunity for machine learning
-
Gather and prepare the necessary data
-
Train and evaluate different machine learning models
-
Deploy the best model and monitor its performance
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to an Open-Source Machine Learning Project
Show steps
Enhance your understanding and gain practical experience by contributing to open-source machine learning projects.
Browse courses on
Community Involvement
Show steps
-
Identify a suitable open-source project
-
Read the project documentation and codebase
-
Contribute a new feature or fix a bug
-
Submit a pull request and receive feedback
Attend Azure Machine Learning User Group Meeting
Show steps
Network with other professionals and gain insights into real-world Azure Machine Learning applications.
Show steps
Show steps
Show steps
- Search for local Azure Machine Learning user groups
- Attend a user group meeting
- Participate in discussions and ask questions
Build a machine learning project using the Azure Machine Learning platform
Show steps
Create a hands-on project to apply the concepts learned in this course and gain practical experience with Azure Machine Learning.
Browse courses on
Azure Machine Learning
Show steps
Show steps
Show steps
- Define the problem statement and gather data
- Prepare and preprocess the data
- Train and evaluate the machine learning model
- Deploy the model to a production environment
Start a personal machine learning project using Azure
Show steps
Solidify your skills by embarking on a personal project that allows you to apply and experiment with Azure Machine Learning.
Browse courses on
Data Science Projects
Show steps
Show steps
Show steps
- Identify a problem or opportunity for machine learning
- Gather and prepare the necessary data
- Train and evaluate different machine learning models
- Deploy the best model and monitor its performance
One other activity
Expand to see all activities and additional details
Show all four activities
Contribute to an Open-Source Machine Learning Project
Show steps
Enhance your understanding and gain practical experience by contributing to open-source machine learning projects.
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Identify a suitable open-source project
- Read the project documentation and codebase
- Contribute a new feature or fix a bug
- Submit a pull request and receive feedback
Career center
Learners who complete Designing Machine Learning Solutions on Microsoft Azure will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist designs and builds predictive models to help organizations understand their data and make better decisions. This course will teach you how to use Azure Machine Learning to gain actionable insights from your data, which is a valuable skill for Data Scientists.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for model training and deployment.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to help organizations understand their customers and make better decisions. This course will teach you how to use Azure Machine Learning to gain actionable insights from your data, which is a valuable skill for Data Analysts.
Data Engineer
Data Engineer
A Data Engineer builds and maintains the infrastructure that supports data storage and processing. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for data ingestion and preparation.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for model deployment and integration with other software systems.
Product Manager
Product Manager
A Product Manager plans and manages the development of software products. This course will teach you the skills you need to make data-driven decisions about product development, including how to use Azure Machine Learning for customer segmentation and churn prediction.
Business Analyst
Business Analyst
A Business Analyst helps organizations understand their business needs and develop solutions to meet those needs. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for data analysis and reporting.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to help organizations make better decisions. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for data analysis and visualization.
Cloud Architect
Cloud Architect
A Cloud Architect designs and manages cloud computing solutions. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for model deployment and integration with other cloud services.
Data Science Manager
Data Science Manager
A Data Science Manager leads and manages a team of data scientists. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for model governance and deployment.
Database Administrator
Database Administrator
A Database Administrator designs and maintains databases. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for data ingestion and storage.
IT Manager
IT Manager
An IT Manager plans and manages the IT infrastructure of an organization. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for data storage and processing.
Business Intelligence Analyst
Business Intelligence Analyst
A Business Intelligence Analyst helps organizations understand their business data and make better decisions. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for data analysis and visualization.
Research Scientist
Research Scientist
A Research Scientist conducts research in a specific field of science. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for data analysis and modeling.
Software Developer
Software Developer
A Software Developer creates the code that runs software applications. This course will teach you the skills you need to get started in this field, including how to use Azure Machine Learning for model integration with other software systems.
For more career information including salaries, visit:
OpenCourser.com/course/k4wmhn/designing
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
Designing Machine Learning Solutions on Microsoft Azure.
Covers the essential concepts of machine learning algorithms, including classification, regression, and dimensionality reduction. It valuable resource for learners who want to gain a deep understanding of machine learning algorithms.
Covers the essential concepts of machine learning and provides hands-on examples using Python. It valuable resource for learners who want to gain practical experience with machine learning.
Covers the essential concepts of machine learning and provides hands-on examples using Python. It valuable resource for learners who want to gain practical experience with machine learning.
Covers the essential concepts of machine learning and provides hands-on examples using Python. It valuable resource for learners who want to gain practical experience with machine learning.
Covers the essential concepts of machine learning and provides hands-on examples using Python. It valuable resource for learners who want to gain practical experience with machine learning.
Covers the essential concepts of machine learning and provides hands-on examples using Python. It valuable resource for learners who want to gain practical experience with machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/k4wmhn/designing
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Time
102 hours
Level
Intermediate
Via
Pluralsight
Instructor
David Tucker
Language
English
Good to know
Teaches how to practically apply ML solutions, equipping learners for enterprise environments where TDSP is common
Guides learners through the Azure ML Service workflow, a popular industry tool
Covers data ingestion and infrastructure, core components of ML projects
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